Start Submission Become a Reviewer

Reading: Dancing monkeys in Serbian and Korean – exhaustivity requirements on distributive share markers

Download

A- A+
Alt. Display

Research

Dancing monkeys in Serbian and Korean – exhaustivity requirements on distributive share markers

Authors:

Ana Bosnić ,

University of Groningen, Groningen, NL; University of Nantes, Nantes, FR
X close

Jennifer Spenader,

University of Groningen, Groningen, NL
X close

Hamida Demirdache

University of Nantes, Nantes, FR
X close

Abstract

In some languages, distributive markers/quantifiers can attach to the argument that is being distributed (the distributive share), as opposed to the restrictor of the sentence (the distributive key). Researchers agree that distributive share markers can also distribute over events (and not only individuals), but disagree as to what these markers are semantically – universal distributive quantifiers or event plurality (pluractional) markers. In this paper, we experimentally probe spatial event distribution. On a universal quantification account, exhaustive distribution over a spatial distributive key is enforced, while on the pluractional analysis there is no such requirement. We carried out two picture verification experiments to test exhaustivity requirements in intransitive sentences with distributive share markers from two typologically different languages: the Serbian marker po and the Korean marker -ssik. We found evidence for an exhaustivity requirement over pluralities of non-atomic individuals (groups), but not over designated spatial locations. We interpret these findings as evidence that the semantics of (spatial) event distribution with distributive share markers involves a (spatial) distributive key. Specifically, po/-ssik have a universal quantificational force (with a meaning akin to per (each)) establishing a distributive relation between individual events and elements of the spatial distributive key. Plural individuals made salient in the visual input can serve to divide up the spatial key into chunks of space that have to be exhausted.

How to Cite: Bosnić, A., Spenader, J., & Demirdache, H. (2020). Dancing monkeys in Serbian and Korean – exhaustivity requirements on distributive share markers. Glossa: A Journal of General Linguistics, 5(1), 78. DOI: http://doi.org/10.5334/gjgl.858
136
Views
24
Downloads
1
Twitter
  Published on 29 Jul 2020
 Accepted on 17 Apr 2020            Submitted on 16 Nov 2018

1 Introduction

The fundamental question of how so-called distributive share (DistShare) markers should be analyzed semantically is a matter of contention in the existing theoretical literature. A pervasive line of analysis takes DistShare markers to be universal distributive quantifiers, just like so-called distributive key (DistKey) markers, but that can distribute over implicit spatiotemporal arguments unlike DistKey markers (Choe 1987; Gil 1995; Zimmermann 2002b; Balusu 2006 a.o.). Other researchers, however, take DistShare markers to be pluractional markers, simply signaling event plurality without universal quantification (Matthewson 2000; Muller and Negrão 2012; Cable 2014; Knežević 2015; Pasquereau 2018 a.o.).

We bring novel empirical evidence to bear on these issues by experimentally probing whether DistShare markers exhibit a required feature of universal quantification – namely, that distribution over the members of the DistKey be exhaustive. While there is an ever-growing interest in the semantics of DistShare markers across languages, especially including lesser studied languages (see Gil 1982; 1995; Choe 1987; Farkas 1997; Oh 2006; Zimmermann 2008; Henderson 2011; Cabredo-Hofherr & Etxeberria 2017 a.o.), these markers have hardly been investigated experimentally. Knežević (2015) and Knežević & Demirdache (2017; 2018) are among the few attempts to experimentally test DistShare marker interpretations, investigating the Serbian DistShare marker po with both adults and children. However, the focus in the theoretical literature has been mostly on individual and/or temporal (as opposed to spatial) distributive readings.

This paper reports on the first experimental investigations into spatial event readings, as well as the first investigation into exhaustivity effects with DistShare markers, testing Serbian and Korean, two typologically distinct languages that both have DistShare markers. The question our experiments sought to address was whether DistShare markers in Serbian and Korean should be analyzed as markers of event plurality, or as universal quantifiers requiring a DistKey over which distribution takes place exhaustively. To test for exhaustivity, we set up (with the first experiment and its follow up) different putative distributive keys. Our experimental results do indeed provide evidence that the event-distributive reading that DistShare markers yield involves a covert (spatial) DistKey that must be exhausted contra the event plurality hypothesis. But this exhaustivity requirement is not realized as initially expected under the universal quantification hypothesis: the exhaustivity requirement that speakers of both languages appear to impose is over pluralities of non-atomic individuals (groups), but not over designated spatial locations. We take this conclusion to argue in favor of a universal quantification analysis, on the assumption that DistShare markers can distribute over entities that are non-atomic such as time and space, as well as entities that are bigger than atoms – that is, groups/pluralities of atomic individuals.

The paper is organized as follows. Section 2 presents the basic concepts and issues underlying the analysis of DistShare markers in the literature and the two main lines of analysis investigated: universal distributive quantification and event plurality. Section 3 presents two picture verification experiments conducted to test exhaustivity requirements using Serbian and Korean. The results actually revealed exhaustivity requirements, over pluralities of non-atomic individuals (groups). Section 4 discusses how these findings relate to the existing theoretical research. We then develop an analysis of spatial event distribution along the lines of Zimmermann (2002b). DistShare markers are analyzed as locative prepositions with universal quantificational force (with a meaning akin to per (each)) establishing a distributive relation between individual events and elements of a spatial/temporal DistKey. Plural individuals made salient in the visual input can serve to divide up the spatial DistKey into relevant spaces that have to be exhausted. We close by discussing this account in the context of Champollion’s (2016b) parameters of variation for distributivity operators. Section 5 concludes by pointing out directions for further experimental research.

2 Distributive share vs. Distributive key markers across languages

To illustrate the issues at stake, let’s start with (1), uttered in the context of a birthday party with many presents and invitees, including four boys. (1) will be true if each of the four boys in the context has individually bought two presents, yielding a total of eight presents (bought by the boys). Each in (1) thus induces a distributive interpretation involving pairs of presents distributed over the atomic members of a contextually restricted set of boys. Importantly, the set of boys must be exhaustively distributed over, i.e. there cannot be a boy who did not buy two presents.

(1) [Each boy] bought two presents.

Gil (1982; 1995) distinguishes two major typological classes of distributive markers crosslinguistically: Distributive key vs. Distributive share markers. The DistKey (or sorting key) refers to the set that is being distributed over, and the DistShare to what is being distributed (see also Choe 1987 and Zimmermann 2002b a.o.). Thus, in (1), the restriction boy of the universal quantifier each is said to serve as the DistKey and the NP two presents as the DistShare. Now consider a language that has DistShare markers, Serbian, which has the distributive marker po.1 Consider the example in (2):

    1. (2)
    1. [Dečaci DistKey]
    2. boys.NOM
    1. su
    2. AUX
    1. kupili
    2. bought
    1. [numNP
    2.  
    1. po
    2. DISTR
    1. dva
    2. two
    1. poklona DistShare].
    2. presents.ACC
    1. a. ‘(The) boys each/individually bought two presents.’ – Individual distributive reading
    2. b. ‘(The) boys bought two presents at each/different place(s)/time(s).’ – (Spatial/Temporal) event distributive reading

As shown in (2), Serbian po forms a syntactic constituent with the NP serving as the DistShare (dva poklona “two presents”), i.e. the argument denoting what is being distributed. (2) yields the reading in (2a), where distribution is over the plurality of individuals denoted by the overt subject argument of the verb (boys), and which we refer to as an individual distributive reading (four boys and eight presents). Crucially, (2) actually yields the additional possible readings in (2b), where there is a plurality of events (of boys buying two presents) distributed over contextually salient spatial or temporal locations. For instance, four boys could have bought two presents on Monday and then again two presents on Tuesday (the end result is then four boys and four presents).2 Note, importantly, that these spatial and temporal locations are implicit arguments of the verb (they are not denoted by an overt NP/DP in the sentence). We will refer to such readings as event distributive readings.

Importantly, for intransitive sentences, the only overt argument that po can syntactically combine with, and that can thus serve as the DistShare, is the single argument in subject position. In other words, the DistKey will have to be a covert spatio/temporal argument, which means that intransitive sentences only yield event distributive readings:

    1. (3)
    1. Po
    2. DISTR
    1. dva
    2. two
    1. dečaka
    2. boys
    1. pevaju.
    2. sing.PL
    1. ‘Two boys are singing at each/different place(s)/time(s).’

On the basis of a very broad and extensive typological overview of DistShare marking across languages, Gil (1982; 1995; 2013) claims that DistShare markers are typologically more marked than DistKey markers. Languages that have DistShare marking are typologically diverse, including Korean, Japanese, the majority of Slavic languages, Hungarian, German, Georgian, Karitiana, Hausa, and many others. We focus here on DistShare markers from two typologically unrelated languages, Serbian and Korean, that show similar syntactic and semantic properties.

The DistShare marker po in Serbian attaches to numerals (henceforth num), reduplicated numerals (num po num), bare singular nouns (analyzed in Knežević (2015) as having a silent numeral one), and weak quantifiers such as few (e.g. po nekoliko).3 What is more, po can attach to any argument in the sentence, e.g. the direct object, the subject (or even both these arguments), or to adverbials. Importantly, Korean shows the same attachment possibilities for its DistShare marker, the particle -ssik, and the range of interpretations of -ssik sentences are similar to Serbian po sentences (see Oh (2001; 2006) for discussion of -ssik). For the purposes of this paper, however, we confine ourselves to distributive po/-ssik attaching to numeral phrases (numPs) in simple intransitive sentences.

The Korean example in (4) shows that the two properties that distinguish Serbian po (2) from the determiner each in English (1) carry over to -ssik:

    1. (4)
    1. Sonyen-tul-i
    2. Boy.PL.NOM
    1. [numNP
    2.  
    1. senmwul-ul
    2. present.ACC
    1. twu-kay-ssikDistShare]
    2. two.CLF.DISTR
    1. sa-ss-ta.
    2. buy.PAST.DEC
    1. a. ‘(The) boys each bought two presents.’
    2. b. ‘(The) boys bought two presents at each/different place(s)/time(s).’

Unlike determiner each that attaches to the NP serving as the DistKey (its restrictor boy in (1)), but just like po, -ssik attaches to the NP serving as the DistShare (two presents). It can also yield either the individual distributive reading in (4a), or the (spatial/temporal) event distributive reading in (4b). It is specifically the latter property – the availability of event distributive readings over implicit spatial or temporal arguments of the verb – which distinguishes distributive markers such as po or -ssik, on the one hand, from both determiner each in (1) and so called adnominal (or binominal) each in (5) on the other.

(5) Adnominal each: The boys bought two presents each.

As illustrated in (5), adnominal each appears to form a constituent with the NP serving as the DistShare (two presents) just like po or -ssik. Adnominal each, however, just like determiner each in (1), cannot distribute over implicit spatial or temporal arguments of the verb. Thus, in (5), the only possible DistKey is the overt subject DP argument of the verb, which results in simple individual distribution. Zimmermann (2002b) takes this difference to reflect a more general typological generalization – namely, that distributive markers that can also be used as determiners (e.g. each) are restricted to distributing over individuals.4

2.1 Distributive share markers as distributive universal quantifiers

The idea that DistShare markers might be analyzed as a type of universal quantifier dates back to at least Gil’s (1982) typological classification, according to which, DistShare markers, just like DistKey markers, are subtypes of universal quantifiers, as shown by the classification of universal quantifiers provided in Table 1 (Gil 1995: 349). DistShare and DistKey quantifiers differ from “simple universal quantifiers” (e.g. all in English) in that they enforce distributivity (do not permit collective readings).

Language Non-distributive DistKey DistShare

Warlpiri Ø Ø Ø
Hebrew kol Ø Ø
English all every Ø
Maricopa maṭ-čaamk Ø maṭ-čaamxperk
Georgian q’vela q’oveli q’vel-q’vela

Table 1

A classification of universal quantifiers (Gil 1995: 349).

The unifying assumption underlying this line of analysis is that the distributive interpretation that DistShare markers involve universal quantification. This is a common idea that is present in the work of e.g. Choe (1987) for Korean -ssik, Gil (1990) for Japanese -zut(s)u, Faller (2001) for the Quechua particle -nka, Zimmermann (2002a/b) for German adnominal and adverbial jeweils, po in Czech, Bulgarian and Russian, cîte in Romanian and a dozen other languages, Balusu (2006) for reduplicated numerals in Telugu, or Zimmermann (2008) for reduplicated numerals in Hausa.

Choe (1987), like Gil (1982), was one of the first to stress that the unifying function of distributive markers crosslinguistically is to establish a dependency relation between two arguments of a predicate – serving respectively as the DistKey and DistShare – with distributivity derived by positing a universal quantifier interacting with an existential in its scope. He distinguishes between regular quantificational determiners that form a syntactic constituent with the DistKey argument (e.g. German jeder, or French chaque), from so-called anti-quantifiers which appear to form a syntactic constituent with the DistShare argument (e.g. Korean -ssik, adnominal each in English, and German je(weils)). Zimmermann (2002b) replaces the term anti-quantifier with the notion of distance-distributivity to refer to distributive items that appear (on the surface) to occur at a distance from their DistKey. He contends that distance-distributivity is “a superficial phenomenon. All instances of apparent distance-distributive quantifiers are reducible to regular adnominal quantifiers.” (Zimmermann 2002b: 21). On this proposal, Serbian po (2), Korean -ssik (4), English adnominal each (5) in English, and German adnominal jeweils (6) are all distance-distributive (DD) universal quantifiers.

Zimmermann then develops a uniform compositional analysis of distance-distributivity across languages, taking as a point of departure the analysis of adnominal jeweils in German which, just like Serbian po or Korean -ssik, yields both individual and event distributive readings, as illustrated with (6):

    1. (6)
    1. German (Zimmermann 2002b: 291)
    1. [Jeweils
    2. each
    1. zwei
    2. two
    1. Offiziere]
    2. officers
    1. haben
    2. have
    1. die Ballerinen
    2. the ballerinas
    1. nach
    2. to
    1. Hause
    2. home
    1. begleitet.
    2. accompanied
    1. a. ‘Each of the ballerinas was accompanied home by two officers.’
    2. b. ‘Each time, two officers accompanied the ballerinas home.’

Jeweils in (6) forms a constituent with the subject NP zwei Offiziere “two officers” serving as the DistShare. On the individual distributive reading in (6a), distribution is over the direct object DP die Ballerinen “the ballerinas”, serving as the DistKey. While on this reading, jeweils occurs at a distance from its overt NP-restriction/DistKey, on the temporal/event distributive reading in (6b), distribution is over an implicit DistKey (a plurality of times/events) that is not overtly expressed in the clause, but must be recoverable from the linguistic context.5

His proposal is that DD items such as jeweils are QPs embedded inside a PP, itself adjoined to the NP serving as the DistShare. On Zimmermann’s proposal, DD quantifiers, just like regular quantifiers, combine syntactically with their restrictor. The difference is that the restrictor is not a lexical NP, but a pronominal NP which receives its value through coindexation with a DistKey provided by the context. P°, covert in the case of German, provides a relational variable R which specifies the relation that holds between the elements of the DistKey and DistShare. Accordingly, the denotation of the jeweils-DP is given in (7) and the analysis of the individual and event distributive readings of (6) are given in (8a) and (8b), respectively (see Zimmermann 2002b: 250):6

(7) [[zwei Offiziere P°j jeweilsi]] = ∀z [z∈Zi → ∃X [2officers’ (X) ∧ *Rj(X)(z)]]
  For every element z of a given set Zi, there is a set X of two officers such that z and X stand in relation Rj to one another.’

(8) a. ∀z [z∈[[the ballerinasi]] → ∃X [2officers’(X) ∧ ∃e [*accompany’(X,z,e)]]]
    For every element z of a given set of ballerinas, there is a group of two officers X and an event e such that X accompanies z in e.
  b. ∀z [z∈Zi → ∃X [2officers’(X) ∧ ∃e[*accompany’(X, [[the ballerinas]],z) ∧ R(e,z)]]]
    For every element z of a contextually salient set (of events) Zi, there is a set X of two officers and an event e, such that the elements of X accompanied the ballerinas in e, and event e is related to event z by a temporal, causal, subpart, or other contextual relation.

On the individual distributive reading in (8a), the denotation of the DistKey die Ballerinen “the ballerinas” provides the value for the set variable Zi, while the denotation of the transitive verb provides the value for the relation variable R, thus ensuring that the distributive relationship between the elements of the DistKey (here, ballerinas) and elements of the DistShare (here, sets of two officers) is one of accompanying the former home. On the temporal event distributive reading in (8b), the restriction variable Zi ranges over a set of atomic events and must be anaphorically linked to an appropriate antecedent in (or constructed from) the preceding discourse, and the free relation variable R is assigned a value from the context. For example, if there is a ballet performance every Friday this past year, then on this scenario, the DistKey is a set of Friday ballet performances and the relation between the elements of the DistKey and elements of the DistShare (here, events of two officers accompanying the ballerinas home) is plausibly one of temporal succession. Importantly, R can take on a variety of values, including temporal, causal, subpart, or other contextually determined relations.7 As the discussion in section 4.1 will show, the assumption that the values of Z and R are quite free and pragmatically determined will play an important role in capturing the truth conditions for spatial distribution with the DistShare markers po and -ssik.

Another analysis of DistShare markers involving universal quantification is that of Balusu (2006) and Balusu & Jayaseelan (2013) for reduplicated numerals (RedNum) in Telugu. On their proposal, event distributivity is an instance of distributive quantification, involving a Distributivity (D-) operator, a DistKey (the DP that is being distributed over), and a DistShare (the (RedNum)NP that is being distributed). In Balusu & Jayaseelan’s (2013: 10) words, “a distributive operator is essentially a universal quantifier, that has a sorting key, i.e. the quantifier’s restriction, and a distributive share, i.e. the quantifier’s scope”:

    1. (9)
    1. D-operator
    1. DistKey
    2. set in restriction
    1. DistShare
    2. entities in scope

Balusu is one of the rare authors, to our knowledge, to address the issue of spatial event distribution and, in particular, the question of how to recover implicit spatial (as well as temporal) distributive keys from the context. Thus, consider the intransitive sentence in (10a), which only yields spatio/temporal event readings, since the only overt argument that can undergo numeral reduplication (and thus serve as the DistShare) is the subject argument. On Balusu’s analysis, event distributive readings involve partitioning of an event into non-overlapping subevents along spatial or temporal dimensions using “a contextually salient method of division”. And it is these spatial/temporal dimensions (event aspects) which serve as the covert DistKey. But how do we partition time and space? They are not inherently partitioned into minimal atomic units, and thus can only be partitioned into units along contextually salient parameters.

    1. (10)
    1. Telugu (Balusu & Jayaseelan 2013: 38)
    1. RenDu
    2. Two
    1. renDu
    2. two
    1. kootu-lu
    2. monkey.PL
    1. egir-i-niyyi.
    2. jump.PAST.PL
    1. ‘Two monkeys jumped in each location/time interval.’

Balusu & Jayaseelan (2013: 40) explain the spatiotemporal portioning of the event described by (10) as follows: “What do each time and each location refer to? […] The division of the spatial and temporal regions into units happens according to the context. The units need not be of equal duration in the case of temporal regions or of equal dimensions in the case of spatial regions. […] Suppose that all the monkeys in the enclosure jumped up all at once but they jumped up in pairs holding to each other, then the spatial key reading is easily obtained. It could also be the case that the monkeys were not holding one another in pairs but that they were sitting at different points on the branches of the tree, and that there were two monkeys per branch. In such a situation too the spatial key reading is felicitous.”

2.2 Distributive share markers as event plurality markers

Another prominent line of analysis found in the literature takes DistShare markers to be pluractionals, i.e. markers of event plurality or pluractionality (a term coined by Newman 1980).

Pluractionals are markers on the verb or affecting the verb phrase, indicating event plurality in a wide variety of manners (Cabredo-Hofherr & Laca 2012). For instance, Muller & Negrão (2012) claimed that the distributive numerals in Karitiana should be analyzed as adverbial operators that pluralize the events and restrict the cardinality of the entities they modify. A plural event may involve the same action iterated several times (repetitions), (same) actions distributed in space, time, or affecting multiple participants or objects, either as a group or individually (Cusic 1981; Newman 2012; Lasersohn 1995). An example of temporal pluractionals in English would be adverbial phrases such as again and again or time after time.

Knežević (2015), and Knežević & Demirdache (2017; 2018)8 develop a pluractional analysis of Serbian po, building on Lasersohn (1995) and Cable’s (2014) analysis for Tlingit. Pluractional accounts have been defended for a typologically diverse set of DistShare markers, in languages such as Kaqchikel (Henderson 2011; 2014) and Karitiana (Muller & Negrão 2012), or St’at’imcets (Matthewson 2000).

There are two essential advantages for Knežević in using Cable’s analysis of the distributive marker -gaa in Tlingit.9 First, Cable provides a single, uniform account of both individual and event distributive readings of sentences with adnominal -gaa, deriving both readings from the same truth conditions. Sentences with -gaa are thus not taken to be ambiguous between individual and event distributive readings. Rather, the semantics for -gaa yields weak truth conditions holding under both readings. What this essentially means is that individual/participant distributivity is subsumed under event distributivity and is not treated as a separate reading. Second, these weak truth conditions predict that the semantics of distributivity with -gaa in Tlingit, just like with po in Serbian or -ssik in Korean, does not involve a DistKey that has to be atomically and exhaustively distributed over (section 2.2.1).

The readings that -gaa yields are illustrated in (11), together with the type of scenarios provided by Cable for individual/participant and event distributivity:

    1. (11)
    1. Tlingit (Cable 2014: 576)
    1.  
    1. a.
    1. Ax shaa
    2. my female
    1. yátx’i
    2. children
    1. dáxgaa
    2. two.DISTR
    1. keitl
    2. dog
    1. has aawashúch.
    2. they.bathed
    1.  
    1. b.
    1. ‘My daughters bathed two dogs each/two at a time.’
    2. i. Bathings Agent Theme   Individual distributive
        e1 Cléo dog1+dog2    
        e2 Kiya dog3+dog2    
      ii. Bathings Agent Theme   Event distributive
        e1 Cléo+Kiya dog1+dog2    
        e2 Cléo+Kiya dog3+dog2    
      iii. Bathings Agent Theme   Individual+Event distributive
        e1 Cléo dog1+dog2    
        e2 Cléo dog3+dog2    
        e3 Kiya dog4+dog5    
        e4 Kiya dog6+dog7    

Cable treats distributive numerals (distributive markers) similarly to adverbials such as piece by piece, as analyzed by Beck & von Stechow (2007). This analysis does not posit quantificational D-operators of any sort. (12) gives the semantics assigned to adnominal distributive numerals10 in Tlingit, and (13) the predicted truth conditions for the sentence in (11) (Cable 2014: 586).

(12) [[ gaa ]] = [ λnn: [ λQ<et>: [ λP<e, ɛt>: [ λeɛ: ∃x. Q(x) & P(x)(e) &
  <e, x> = σ<e’, y>. participant(e’,y) & |y| = n & e’ < e & y < x ] … ]

(13) a. ∃e. ∃x. *dog(x) & *bathed(e) & *Agent(e) = σy.*my.daughter(y) & *Theme(e) = x &
    <e, x> = σ<e’, z>. z < x & |z| = 2 & e’ < e & participant(e’,z)
  b. There is a plural event e of bathing, whose agents are the speaker’s daughters and whose theme is a plurality of dogs x and the pair consisting of e and x is the sum of those pairs <e’, z> such that z is a pair of dogs, e’ is a (proper) part of e, and z participates in e’.

(13b) requires my daughters to have cumulatively bathed pairs of dogs, with each pair being the theme of some sub-event of the larger event. Now, these truth conditions are compatible with either the individual or the event distributive scenarios in (11i-ii), since on a cumulative interpretation, the number of agents (here, one or two) is left unspecified. Importantly, (11) is also correctly predicted to be true on a scenario such as (11iii) which instantiates both participant and event distributivity (e.g. my daughters each bathed two dogs at different times).

Knežević adapts the semantics of -gaa to po distributive numerals in Serbian.11 As shown in (14), just like -gaa, po combines successively with a numeral n and a predicate Q supplied by the modified NP. It then takes as an argument a relation P between individuals and events and returns a predicate of events, holding of an event e iff there is an individual x such that Q holds of x, and the relation P holds between e and x. The conjuncts “e ∈ *e’nQ & e ∉ e’nQ” require that e be a sum of events e’ in which exactly nQ dogs participate, but without itself being such an event. The claim is that the events described by a sentence with a po nNP must necessarily involve a number of participating individuals described by the NP that is a multiple of n.

    1. (14)
    1. a.
    1. [[po]] = λn. λQ<e,t>. λP<e, ɛt >. λe. e ∈ *e’nQ & e ∉ e’nQ & ∃x Q(x) & P(x)(e)
    1.  
    1. b.
    1. Dečaci
    2. boys
    1. kupaju
    2. bathe
    1. po
    2. DISTR
    1. dva
    2. two
    1. psa.
    2. dogs.ACC
    1.  
    1. c.
    1. ∃e. ∃y. ∃x. e ∈ *e’2dogs & e ∉ e’2dogs & *boy(y) & *dog(x) & *bathe(e) & *Agent(e)(y) & *Theme(e)(x)
    1.  
    1. d.
    1. There is an event e constructed out of (sub)events e’ each involving two dogs and e is an event of boys cumulatively bathing dogs.

The sentence in (14b) thus comes out to have the truth conditions in (14c). In particular, the events described by (14b) must be constructed out of events in which exactly two dogs participate as themes, without being events of that kind themselves. This means that the events described by (14b) must necessarily involve multiples of two dogs. (14b) will thus not hold in collective scenarios involving exactly two dogs in total. It will, however, be true as long as there are at least two subevents e’ of one big event e, spatially or temporally separated, each containing exactly two dogs. That is, the number of dogs per subevent has to be two, but there may be as many pairs of dogs as there are subevents e’ (the total number of dogs is therefore context-dependent). Furthermore, there is no specification in the semantics of how the agent participants partition across these events: the boys can participate collectively, individually, or in groups in the event e, the only requirement being that there be a bathing of two dogs per subevent e’.

In sum, po, on these proposals, is enforcing weak truth conditions, merely requiring that there be at least two events involving the number of entities denoted by the -ssik phrase. As we shall see in the next section, this crucially means the semantics of distributive numerals should not involve a DistKey that has to be atomically and exhaustively distributed over.

2.2.1 Lack of atomicity and exhaustivity requirements

As previously mentioned, on the semantics developed by Cable and Knežević, sentences with distributive numerals are true under event distributive scenarios such as (11ii), involving a partitioning into two subevents, each with agents acting collectively. This is one of the generalizations that leads Knežević to claim that distributive markers such as po are not distributive universal quantifiers: unlike distributive quantifiers such as each, which enforce a partitioning of their restrictor set (DistKey) into atomic members, DistShare markers like po do not require an atomic partition. So, for example, the Serbian and Korean sentence in (16) should be judged true under all the situations depicted in Figure 1,12 while the English sentence in (15) is only compatible with the scenario in Figure 1a.

Figure 1 

Atomic and non-atomic scenarios (event distributive readings) for the sentences in (15)/(16).

(15) [Each boy DistKey] is carrying [numNP one piano DistShare].

    1. (16)
    1. a.
    1. Dečac-i
    2. boy.PL.NOM
    1. nose
    2. carry
    1. po
    2. DISTR
    1. jedan
    2. one
    1. klavir.
    2. piano.ACC
    1.  
    1. b.
    1. Sonyen-tul-i
    2. boy.PL.NOM
    1. phiano-lul
    2. piano.ACC
    1. han-tay-ssik
    2. one.CLF.DISTR
    1. nalu-ko iss-ta.
    2. carry.PROG.DEC
    1. i. ‘(The) boys each are carrying one piano.’
    2. ii. ‘(The) boys are carrying one piano at each/different place(s).’

The second generalization that leads Knežević to explicitly argue against a universal quantification analysis concerns another key property of universal quantifiers: the set denoted by the noun phrase serving as the DistKey (the restriction of Q°) must be exhausted. To quote Balusu & Jayaseelan (2013: 10): “the members of the distributive share need not be exhaustively used up when being distributed, whereas the members of the sorting key need to be exhaustively used up in being distributed over.”

Knežević contends that there are no exhaustivity requirements with po. That is, the plurality over which the po numNP is distributed (be it a plurality of individuals, times, spaces, or events) need not be exhausted. Thus, consider again the sentence in (15) and (16), but this time under the scenarios in Figure 2.

Figure 2 

Exhausted and non-exhausted scenarios for the sentences in (15)/(16).

English adults judge (15) as true under the scenarios in Figure 2a (since all members of the set denoted by the DistKey (boy) are distributed over) and Figure 2b (the presence of additional, uncarried pianos is irrelevant to the truth conditions of (15) since there is no exhaustivity requirement on the DistShare). But English adults will judge (15) false under the scenario in Figure 2c because the members of the DistKey are not exhaustively used up.13

In contrast, the Serbian example in (16) is predicted to be true in all of the situations depicted in Figure 2 on a Knežević/Cable pluractional account of the semantics of distributive numerals. In particular, the scenario under Figure 2c is compatible with the truth conditions provided by Knežević for sentences with distributive numerals: there is an event e constructed out of three (sub)events e’, each involving one piano exactly, and e is an event of boys cumulatively carrying pianos.

These requirements, however, were never a subject of experimental investigation, and have remained until now in the theoretical domain. This paper is thus the first attempt to experimentally test whether there are indeed (no) exhaustivity requirements on an implicit DistKey. We focus here on intransitive sentences in Serbian and Korean. The challenge here is how to establish conditions with a covert (spatial/temporal) DistKey (set of salient spatial/temporal units) that is either exhausted or not. Time and space are not inherently partitioned into minimal atomic units, and thus can only be partitioned into units along contextually salient parameters. The experimental set-up must thus provide some kind of contextual restriction that will impose a partitioning of the event into non-overlapping subevents along spatial or temporal dimensions.

3 Testing exhaustivity requirements with spatial event distribution

Assuming that a key diagnostic for the Universal Quantification (henceforth UQ) account is the exhaustivity requirement on the DistKey, we want to test experimentally whether distribution over the members of the putative DistKey has to be exhausted or not (as would be the case with the Event Plurality (henceforth EP) account). The experimental investigations reported here targeted specifically spatial event distribution, in Serbian and Korean, focusing on intransitive sentences14 with DistShare markers (po in Serbian (17a), -ssik in Korean (17b)):

    1. (17)
    1. a.
    1. Pleš-e
    2. dance
    1. po
    2. DISTR
    1. jedan
    2. one
    1. majmun.
    2. monkey.NOM
    1.  
    1. b.
    1. Wenswungi-ka
    2. monkey.NOM
    1. han-mali-ssik
    2. one.CLF.DISTR
    1. chwum-ul
    2. dance.ACC
    1. chwu-koiss-ta.
    2. dance.PROG.DEC
    1.  
    1. c.
    1. ‘DISTR one monkey is dancing at each location/in different locations.’

As previously mentioned, in intransitive sentences, where the sole overt argument of the verb is marked as a DistShare, the only available DistKey will be an implicit spatial or temporal argument of the verb – which means that the only available reading will be an event distributive reading over covert spatial or temporal locations. Assuming that the semantics underlying (17) does indeed involve exhaustively distributing events of a monkey dancing over implicit spatial/temporal locations, the question is then how to recover the covert spatial key from the context in order to test whether distribution over the spatial key must be exhaustive. Our experimental set-up was largely inspired by Balusu & Jayaseelan’s (2013) discussion of the contextual parameters involved in partitioning an event into relevant spatial locations in order to obtain a spatial DistKey reading (see discussion of (10) above).

The next section presents our experimental methodology, introducing the features that are common to both Experiments 1 and 2. This is followed by a more specific discussion of each experiment and their respective results.

3.1 Experiment 1

Both Experiments 1 and 2 tested two DistShare markers, Serbian po and Korean -ssik. Although Korean and Serbian are typologically very different languages, po and -ssik show similar syntactic and semantic properties and we thus expect them to pattern alike in their interpretations.

Recall that in intransitive sentences, the only overt argument will be marked as the DistShare. This implies that quantification is over events along a spatial or temporal dimension and the DistKey is thus an implicit argument. Participants must therefore contextually infer the DistKey. We sought to control this process with a frame story that limits potential interpretations, and visual materials specifically designed to make spatial units contextually salient. We only used materials depicting spatial distribution (primarily for reasons of simplicity), but we believe our findings would carry over to temporal distribution.

General set-up: We used a children’s visit to the zoo as a frame story for both experiments. This setting allowed us to have cages or caves as identifiable spatial units over which events could be distributed. This method of division into relevant spatial locations is adapted from Balusu & Jayaseelan’s (2013) discussion of (10) above (scenarios involving monkeys on each branch of the tree). We varied the visual contexts (pictures) across subjects to test whether or not the spatial units need to be exhausted.

In our instructions we were careful not to explicitly mention cages/caves in order to ensure that there is no linguistically explicit argument that could potentially serve as a DistKey. Instead, the common context of the experiment was given at the beginning: “Peter and Mary went to the zoo with their class. They brought a camera and took pictures of animals they saw. After the visit, the teacher asked the children from the class to describe their photos. Are the children describing the pictures well?”. Then, in a yes-no picture verification task (a variation of a truth value judgment task), the participants had to evaluate whether the descriptions of the photos were appropriate.

Test sentences: We started from the simplest structure – intransitive sentences, where po/-ssik is syntactically attached to the subject. The subject has to be interpreted as the DistShare, and the only alternative for the DistKey would be the implicit spatial units. In addition, we also used the lowest numeral, so the target phrase was po one/one-ssik. Finally, the test items used a verb-subject word order for Serbian, see e.g. (17a), to avoid po occurring at the beginning of the sentence (since Knežević’s (2015) previous research showed that po-initial sentences sound odd). The word order in Korean remained subject-verb, see e.g. (17b).

Our visual and discourse context aimed to make the cages/caves be considered as relevant spatial units and to serve as the (implicit) DistKey. We designed experimental conditions to try to investigate some basic questions about the different predictions that the theories presented above make. These predictions are spelled out in the section below.

3.1.1 Method and design

Subjects: 53 adult native speakers of Serbian (mean age: 26.35; 37 female, 14 male, 2 unspecified) and 26 native Korean speakers (mean age: 34.00; 17 female, 8 male, 1 unspecified) completed a 5-minute Picture Verification task that was available online. All Serbian participants and 6 Korean participants were recruited through social media and did not receive remuneration. The remaining 20 Korean participants were recruited through Amazon Mechanical Turk and were paid 65 cents for completing the experiment. All participants gave their consent before starting the experiment.

Design and procedure: we used a 1 × 3 design with the same type of test sentence and three different types of pictures as illustrated in Figure 3: A: Exhausted, B: Non-exhausted (empty spatial units) and C: Non-exhausted (not all spatial units contain Ving monkeys). The experiment was preceded by detailed written instructions and a common context for all items, discussed above.

Figure 3 

Examples of three test pictures paired with test sentences in Serbian (18a) and Korean (18b), giving three test conditions.

Items: 12 unique sentences (target items) were created using 16 different animals and eight verbs.15 Each verb was presented no more than twice in a target sentence (see Appendix B for the complete list of items that were used for the target items and fillers). Each condition had four observations and each participant saw only one condition combination per item (see Figure 3 for test pictures where the background has been removed for visual clarity. See Appendix B for an actual picture from the experiment).

Picture A was considered to be the baseline condition, in which spatial units (cages) are considered exhausted since they each contain a dancing monkey. Pictures B and C showed non-exhausted situations. Picture B showed two spatial units with monkeys carrying out the target action, and two empty spatial units. Picture C showed two cages with a monkey carrying out the target action and two cages with monkeys that are not carrying out the target action. We always used two non-exhausted spatial units/cages, rather than one, to avoid singling out the odd situation in the picture. All three conditions showed four salient spaces in a rough 2 × 2 grid formation, and the position of the different types of spaces, e.g. a cage vs. empty area, varied across items.

As previously stated, the test sentences all had imperfective intransitive verbs and the following structure: [Verb [po-1(one)-Subject]] for Serbian (17a/18a) and [[Subject-1(one)-ssik] Verb] for Korean (17b/18b).16

    1. (18)
    1. a.
    1. Pleš-e
    2. dance
    1. [po
    2. DISTR
    1. jedan
    2. one
    1. majmun].17
    2. monkey.NOM
    1.  
    1. b.
    1. [Wenswungi-ka
    2.   monkey.NOM
    1. han-mali-ssik]
    2. one.CLF.DISTR
    1. chwum-ul
    2. dance.ACC
    1. chwu-ko iss-ta.
    2. dance.PROG.DEC
    1.  
    1. c.
    1. ‘DISTR one monkey is dancing (at different locations/each location).’

Control items were 12 numerically quantified sentences with a Verb-three-Subject(plural) pattern (e.g. “Three tigers are sleeping” with one of the three pictures corresponding A, B or C). These items had four yes and eight no responses and were used as true controls – participants who made errors on more than 10% of control items were excluded. Each participant also saw four filler items (see footnote 15). In sum, each participant saw 12 target items, 4 filler items and 12 control items, amounting to 28 items in total.

3.1.2 Predictions

What responses do we expect based on the two major lines of research? If we take the core assumption underlying the EP account, all three pictures should be accepted (see Table 2), since the only requirement is to have at least two events, and all scenarios satisfy this requirement. If DistShare markers are a type of universal quantifier, then there must be a DistKey that has to be exhausted. Because we made the linguistically implicit spatial DistKey salient in the frame story and visually relevant in the individual items, these spaces are contextually salient and the best candidate for the DistKey. The condition with Picture A, the baseline, should be accepted. But a UQ account predicts that the two other pictures, Picture B and Picture C, should be rejected because there are contextually relevant spaces where no monkey is jumping. Also note that neither theory requires all the monkeys in the context to satisfy the VP (dance), since the NP one monkey is marked as the DistShare.

Picture A Picture B Picture C

Predictions EP
UQ

Table 2

Predictions according to EP and UQ accounts on all test pictures in Experiment 1.

3.1.3 Results

The results show us that the baseline picture (A) and the picture with non-exhausted spatial units (empty cages/caves) (B) were overwhelmingly accepted (90.1% and 84.4% respectively for Serbian and 96.1% and 97.1% respectively for Korean), unlike the picture with non-exhausted spatial units in which no monkey is V-ing (C) (10.4% for Serbian and 8.6% for Korean) (see Figure 4).

Figure 4 

The results show the proportion of YES responses of Serbian (left) and Korean adults (right) with the standard error bars for Picture A (blue), Picture B (red) and Picture C (green) conditions.

We performed a repeated measures mixed-effects logistic regression using glmer() function of the lme4 package (Bates et al 2015) in R (R Core team 2014) for each language. We started all analyses with a full and random intercept model that included Picture Type (with levels A, B and C) as the only predictor (fixed factor) and Subjects and Items as random factors. AIC values18 were compared to determine which model fit the data best, with a complex model being preferred over a simpler model only if its AIC value is two or more points lower. For both Serbian and Korean, model comparison did not show an effect of the Items, so this random factor was removed. For both languages, the best fitting model retained the fixed factor Picture Type and the random factor Subjects, with a random slope by-Subjects for Picture Type (see the best model formulas for each language and the output in Appendix A). The reference point was Picture A, and we see no significant difference between Picture A and Picture B for Serbian (β = –1.70, z-value = –0.50, p = 0.62) or Korean (β = –0.93, z-value = –0.14, p = 0.89). There was a highly significant difference between Picture A and Picture C for both Serbian (β = –16.60, z-value = –4.79, p < 0.001) and Korean (β = –18.92, z-value = –2.83, p < 0.001).

We also combined data from both Serbian and Korean in one model, including a new fixed factor Language with the levels Serbian and Korean. Models that included Language were not significantly different from models without. This means that there is no significant difference between Serbian and Korean participants in their responses.

3.1.4 Discussion

Going back to Table 2, we see that the baseline (Picture A) is accepted across the board, as expected on all accounts. Picture B is also strongly accepted as predicted on the EP, but not the UQ hypothesis. The situation is reversed for Picture C, which is overwhelmingly rejected as predicted on the UQ, but not the EP hypothesis – see the updated table (Table 3).

Picture A Picture B Picture C

Predictions EP
UQ
Actual results

Table 3

Predictions and results on all test pictures in Experiment 1.

Taking stock: Our findings suggest that it is not necessary to exhaust spatial units. Participants accepted Picture B with e.g. cages without monkeys. However, the rejection of Picture C suggests that there is some form of exhaustivity requirement after all, since cages with monkeys need to contain a dancing monkey to be acceptable. We state the resulting descriptive generalizations in (19):

(19) Generalization 1: Empty contextually relevant spatial units (e.g. cages) need not be exhausted, i.e. they need not satisfy the VP (by containing e.g. one dancing monkey). While spatial units that contain individuals that fit the description of the subject NP, e.g. monkeys, must exhaustively satisfy the denotation of the VP (by containing e.g. one dancing monkey).

The overall experimental results thus seem to be a challenge to both theoretical approaches of DistShare markers: the assumed UQ hypothesis makes predictions that are too strong, while the EP hypothesis makes predictions that are too weak. To recapitulate, participant responses suggest there is no exhaustivity requirement on individual monkeys, because Picture A is accepted; there also seems to be no exhaustivity requirement on spatial units (cages) because Picture B is accepted; however, participant responses suggest that there is an exhaustivity requirement on groups of monkeys in cages. Thus, our findings are compatible with a UQ account since this account correctly predicts there is an (implicit) spatial DistKey that needs to be exhausted. The logical follow-up question is then: what is the relevant DistKey and how is it recovered from the linguistic and visual input? We know now that cages alone were not taken to be the relevant spatial locations, so the participants must be reacting to something else in the experiment. When examined more closely, the visual context, in fact, gives three possibilities to restrict the domain of quantification – (a) cages, (b) groups (here, triplets) of monkeys in cages, or (c) groups (here, triplets) of monkeys. The UQ account tested in Experiment 1 rules out option (a) as the DistKey, i.e. cages as delimited spaces. We henceforth refer to this first option as DistKeyCAGE. We now need to determine whether (b) groups of monkeys in cages or (c) groups of monkeys are serving as the DistKey. We refer to these two other options as DistKeyCAGED GROUP and DistKeyGROUP, respectively. Experiment 2 was designed to test these two options.

3.2 Experiment 2

3.2.1 Method and design

Subjects: 31 adult native speakers of Serbian (mean age: 29.77; 23 female, 6 male, 2 unspecified) and 30 adult native speakers of Korean (mean age: 35.00; 24 female, 6 male) participated in a picture verification task. The experiment was done online and took approximately five minutes.

Design and procedure: we again had a 1 × 3 design but changed two picture types from Experiment 1 (see Figure 5). Picture A was modified to create Picture A1: Exhausted spatial units + monkey V-ing outside cages and Picture C was modified to create Picture C1: Exhausted + no monkey V-ing outside cages showed groups of monkeys not bounded by explicit spatial units.19 These pictures were designed to assess how necessary spatial delimitation is. Control items and test sentences remained the same.

Figure 5 

Pictures used in Experiment 2. Groups of monkeys appear outside clearly delimited spatial units in A1 and C1.

3.2.2 Predictions

The first experiment showed that a DistKeyCAGE account taking cages to be the relevant spatial DistKey is not correct, but the other two possibilities are to take groups of monkeys in cages (DistKeyCAGED GROUP) or only groups of monkeys (DistKeyGROUP) to be the spatial DistKey. This means that C1 is the crucial condition since it can tell us what the domain of quantification for po/-ssik sentences is. (see Table 4).

Picture A1 Picture B1 Picture C1

Predictions DistKeyCAGED GROUP
DistKeyGROUP

Table 4

Predictions according to the two possible DistKeys that must be exhausted.

3.2.3 Results

Figure 6 shows that participants accept Conditions A1 (96.8% for Serbian and 77.1% for Korean) and B1 (90.9% for Serbian and 80.5% for Korean), but reject C1 (24.2% for Serbian and 20.8% for Korean). The results match the predictions of DistKeyGROUP, as seen in Table 5.

Figure 6 

The results show the proportion of YES responses of Serbian (left) and Korean (right) adults with the standard error bars for Picture A1 (blue), Picture B1 (red) and Picture C1 (green) of the (new) conditions.

Picture A1 Picture B1 Picture C1

Predictions DistKeyCAGED GROUP
DistKeyGROUP
Actual results

Table 5

Predictions and results on all test pictures in Experiment 2.

For analysis, we again performed a repeated measures mixed-effects logistic regression using glmer() function of the lme4 package (Bates et al 2015) in R (R Core team 2014). The analysis and the procedure were identical to those used in Experiment 1. We started all analyses with a full and random intercept model that included Picture Type (with levels A1, B1 and C1) as the only predictor (fixed factor) and Subjects and Items as random factors AIC values were compared to determine which model fit the data best, with a complex model being preferred over a simpler model only if its AIC value is two or more points lower. Model comparison showed that the model with the lowest AIC values for Serbian included the fixed effect of Picture Type and a random effect of Items and Subjects, plus a random slope for Picture Type for Subjects (the reference level (the Intercept) was set to be B1). The model showed that B1 and A1 were not significantly different (β = 0.31, z value = 0.10, p = 0.92), and that B1 had significantly higher rates of acceptance than C1 (β = –11.41, z value = –4.43, p ≤ 0.001). The best model for Korean did not include the Items and had a random slope for Picture Type for Subjects. Again, A1 was not significantly different from B1 (β = 4.31, z value = 1.46, p = 0.15) and C1 was significantly different than B1 (β = –9.99, z value = –3.99, p ≤ 0.001). The full model is given in Appendix A. Finally, when the data was combined, the model with Language as the fixed factor showed no significant difference compared to the model without Language, meaning that Serbian and Korean participants responded similarly to the conditions.

3.2.4 Discussion

The question we asked for Experiment 2 was whether we are exhausting groups (triplets) of monkeys in cages, what we called DistKeyCAGED GROUP, or simply (cageless) groups of monkeys, i.e. DistKeyGROUP. The results (the rejection of Picture C1 in particular) clearly favor the latter answer – cages are completely irrelevant for the evaluation of the test sentences and it is only the groups of monkeys that need to be exhausted. We thus modify our previous descriptive generalization stated in (19), as in (20):

(20) Generalization 2: Empty contextually relevant spatial units (e.g. cages) need not be exhausted, i.e. they do not satisfy the VP (by containing e.g. one dancing monkey). Each (contextually/visually salient) group (here – triplet) of individuals (e.g. monkeys) must be exhausted (must satisfy the VP by containing e.g. one dancing monkey).20

We conclude that these groups/triplets of monkeys are defining the spatial locations that are considered relevant and, as such, must be exhausted. But why did the participants choose the triplets to be the relevant spatial DistKey and not the cages? In the pictures, they are equally (visually) relevant. In fact, as mentioned before, the visual input yields three potential DistKeys that can serve as the implicit restriction of a universal quantifier – cages, triplets of monkeys in cages, or just triplets of monkeys.

We speculate the following: Our participants had to recover the spatial key on the basis of two inputs provided by the experimental materials – visual and linguistic input. They ignored the cages since they are not mentioned in the linguistic input. Monkeys, on the other hand, are mentioned in the linguistic input and they are also salient in the visual input, by being shown in clear groups of three, all distant from each other, resulting in four clearly separated groups of monkeys (two in the case of the B conditions). This suggests that when the preceding discourse context does not explicitly provide the spatial DistKey, and the visual context is ambiguous as to what the right restriction is, participants seem to use a strategy of prioritizing linguistic cues.

There is one caveat to this explanation. Namely, there is a 24% acceptance rate for Picture C1 for Serbian and 20% for Korean, which is higher than the 10%/8% found in the previous experiment. A Mann-Whitney U test indicated that the frequency of yes answers for Experiment 1(Mdn = 0) was significantly lower than for Experiment 2 (p < 0.01), so we examined individual response patterns for Picture C1 more closely. Only 4/31 Serbian participants and 4/30 Korean participants accepted C1 100% of the time (and also accepted Picture B1 and A1 100% of the time). This observation is interesting because, although it concerns a small subset of participants, these participants do appear to show exactly the pattern of responses predicted on the event plurality account (all three pictures accepted). On the other hand, this could easily be noise in the data and since we, unfortunately, do not have these speakers’ explanations for the reason they accepted all the conditions, we cannot make any further inferences. Lastly, some Korean speakers (4/30) systematically rejected all three conditions, resulting in lower acceptance rates even for the A1 (baseline) condition. We speculate the reason for this low rejection rate may be that the pictures in Experiment 2 are showing a complex scene and that some participants are very strict in their judgments, meaning that the sentence may not be informative enough to capture everything that is happening in the picture. We leave this as a speculation only, stressing again that this observation was statistically insignificant.

4 General Discussion

The question our experiments sought to address was whether DistShare markers in Serbian and Korean should be analyzed as markers of event plurality, or as universal quantifiers requiring an implicit DistKey over which to distribute exhaustively. Let’s recapitulate our main experimental conclusions (stated as Generalizations 1 in (19) and 2 in (20)).

(21) a. The results showed that individual members of the DistShare (e.g. monkeys) need not be exhausted, as expected.
  b. The result showed that the spatial argument made salient by the visual context (i.e. cages/caves) need not be exhausted.
  c. There is, however, evidence leading us to conclude that there is an implicit DistKey: the set of triplets/groups of monkeys provided by the visual context that needs to be exhaustively distributed over.21

We unpack the consequences of these observations in the following sections, and suggest a possible universal quantifier analysis based on Zimmermann’s account.

4.1 Distribution over pluralities of non-atomic individuals

Our results provide intriguing evidence for a covert spatial DistKey. The visual context supplies spatially separated groups/triplets of monkeys. This plurality, which is itself made up of plural/non-atomic individuals, serves as the DistKey over which the members of the DistShare (dancing monkeys) are distributed.

These conclusions clearly clash with the assumed predictions of the event plurality analysis. Instead, they appear to provide evidence for the UQ accounts: (i) distributive markers have an essentially relational function, that of establishing a relation between members of the DistKey and members of the DistShare, and (ii) there is an exhaustivity requirement on a DistKey. In our experiments with our materials we found that the members of the DistShare contribute to spatially define the DistKey that has to be exhausted.

To account for these findings, we suggest an analysis of event distributive readings for both Serbian and Korean along the lines of Zimmermann (2002b) as presented in section 2.1.22 Consider again the intransitive sentences in (22b) and (22c), together with their German translation in (22a):

    1. (22)
    1. a.
    1. [Jeweils
    2. DISTR
    1. ein
    2. one
    1. Affe]
    2. monkey.NOM
    1. tanzt.
    2. dances
    1.  
    1. b.
    1. Pleš-e
    2. dances
    1. [po
    2. DISTR
    1. jedan
    2. one
    1. majmun].
    2. monkey.NOM
    1.  
    1. c.
    1. [Wenswungi-ka
    2. monkey.NOM
    1. han-mali-ssik]
    2. one.CLF.DISTR
    1. chwum-ul
    2. dance.ACC
    1. chwu-ko iss-ta.
    2. dance.PROG.DEC
    1. ‘DISTR one monkey is dancing.’

DD quantifiers across languages are assumed to have the uniform underlying structure in (23a). Although all languages with DD quantifiers express the DistShare overtly, languages differ with regards to which parts of the postnominal PP is overtly spelled out. In particular, adapting Zimmermann, po in Serbian would be taken to spell out a complex prepositional head derived via incorporation of a silent universal Q° into the overt P°-head, as shown in (23b). The PP is base-generated right-adjoined to the DistShare NP ([AP one][NP monkey]). While in Korean, this PP will stay in its base position,23 in Serbian it raises to the Specifier of the whole DP (as does jeweils in German), yielding the observed surface order (23c):

(23) a. [DP D° [NP [NP NP DistShare][PP P° [QP Q° je [NP weili-s DistKey] QP]PP]NP]DP]
  b. [DP D° [NP [NP [AP one][NP monkey] DistShare] [PP [P°+ Q° po [QP teach [NP pro DistKey]]]]]
  c. [DP [PP [P°+ Q° po [QP teach [ pro DistKey]k [ D° [NP [NP [AP one][NP monkey] DistShare] tk ]]]]

We now focus specifically on the analysis of Serbian, but conjecture that a similar analysis could be applied to Korean as well. Zimmermann’s compositional analysis provides a relational variable R specifying the relation that holds between the elements of the DistKey and DistShare. The denotation for the PP headed by po is given in (24a). It will combine with its argument, the value of the numeral NP in (24b), to yield the proposition in (24c):

(24) a. [[ PP poj each proi ]] = λP. ∀z [(z∈Zi) → ∃X [P(X) ∧ *Rj(X, z)]]
  b. [[ one monkey ]] = λX. 1monkey’(X)
  c. [[ one monkey poj each proi ]] = ∀z [z∈Zi → ∃X [1monkey’ (X) ∧ *Rj(X, z)]]
    For every element z of a contextually salient set Zi, there is a set X of one monkey such that X and z stand in relation Rj to one another.

The numeral NP24 one monkey in (24a) (which forms the DistShare) denotes a property that is predicated of the set variable that is bound by the existential quantifier in the nuclear scope of the universal. This ensures that elements of the DistShare are distributed over elements of the implicit restriction of the universal quantifier.

The indexed variable proi in (24) provides the restrictor of the universal quantifier, that is, the DistKey. For event-distributive interpretations, proi is simply left free, and understood to denote a salient plurality (of events, on Zimmermann’s analysis of temporal event distributive readings; see discussion of (8b)) that is recoverable from the context. Our experimental results tell us that the DistKey in (24) is understood to be the set of sets/triplets of monkeys made salient by the visual and linguistic input.

Turning now to the value of the relation variable R contributed by po, recall that for participant distributive construals, its value is provided by an overt relation-denoting expression in the clause (e.g. by the denotation of the verb in (8a)). For event distributive interpretations, its value is pragmatically determined by the context (preceding discourse and extra-linguistic context), together with world knowledge (see discussion of (8b)). Zimmermann claims that R can take on a variety of temporal, locative, as well as other values (in particular, causation, temporal succession/overlap/inclusion, homogeneous subpart, etc.).

Focusing now specifically on Serbian, we can extend this analysis and assume that the value of the free relation variable R is constrained/determined in part by the core lexical meaning of po as a locative preposition. Evidence for the status of po as a locative preposition, with plausibly (universal) quantificational content, is provided by the uses of po, illustrated in (25), from Knežević (2015: 134–137) who points out that the earliest diachronic use of po is that of a spatiotemporal preposition. Note, in particular, that the translation provided for po in (25a) is very close to what we want as a value for R in (24), i.e. one dancing monkey per triplet, and that we could paraphrase po in (25a) as per (each). This falls out nicely on the assumption that po spells out incorporation of a universal quantifier into a prepositional head, which we take to have a meaning akin to that of per.25

    1. (25)
    1. a.
    1. pet
    2. five
    1. automobila
    2. car.GEN.PL
    1. po
    2. DISTR
    1. stanovniku.
    2. inhabitant.LOC.SG
    1. Quantitative locative
    2.  
    1. ‘five cars per inhabitant.’
    1.  
    1. b.
    1. Igračke
    2. toy.NOM.PL
    1. su
    2. AUX.3.PL
    1. (svuda)
    2. (everywhere)
    1. po
    2. DISTR
    1. podu.      Spatial-denoting locative
    2. floor.LOC.SG
    1. ‘The toys are all over the floor.’
    1.  
    1. c.
    1. Ivan
    2. Ivan.NOM
    1. spava
    2. sleep.3.SG.PS.IMPF
    1. po
    2. DISTR
    1. danu.
    2. day.LOC.SG
    1. Temporal-denoting locative
    2.  
    1. ‘Ivan sleeps throughout/during the day.’

Following Zimmermann, the value of R is contextually determined and can take on a variety of meanings, that is, temporal, locative, subpart, causal, or other contextual relation. We take the relevant relation that po establishes between the DistKey (the set of triplets of monkeys in the visual input) and the DistShare (a set of one monkey) to be the element-of relation (∈). This constrains each subset/triplet of monkeys Z given in the visual input to contain as one of its members a subset X of one monkey that is dancing.

The truth conditions ultimately derived for (22) are given in (26):

(26) ∀Z [Z∈ Z’i → ∃X [1monkey’(X) ∧ ∃e [*dance’(X, e) ∧ R(e, Z))]]]
  For every set Z that is an element of a contextually salient set of sets Z’i, there is a set X of one monkey and an event e, such that X dances in e, and event e is related to Z in that X ∈ Z.

For Zimmermann, event distribution involves distribution of events over an (implicit) plurality of events. Importantly, (26) yields an event-based distributive interpretation, even though distribution here is over non-atomic individuals (groups of monkeys). Recall, in particular, that when quantification is over individuals, the DistShare and the DistKey correspond to arguments of the verb and the value for the relation variable R in the meaning of PP is provided by the denotation of the verb. This ensures that, in the case of (8a) for instance, the distributive relation involves individual ballerinas and groups of two officers, and is one of accompanying the former home. (26), on the other hand, involves quantification over events, since po is establishing a relation between individual events and elements (Z) of the DistKey (Z’i), and the value of the relation variable R is determined by the context. By imposing few constraints on either Z or R, Zimmermann’s proposal allows us to nicely capture the generalization that the triplets of monkeys provided by the visual input serve as the DistKey, with each triplet having to contain, as one of its elements, a dancing monkey. Since both Z and R are pragmatically determined, the interesting question is then why Z did not end up ranging over cages (with R as a locative relation) so that distribution of dancing monkeys would be over cages and not triplets of monkeys. We offered a speculative answer to this question in section 3.2.4, suggesting that participants use both the visual input (triplets of cageless/caged monkeys) and the linguistic input (mention of monkeys) provided by the experimental materials) to recover the spatial DistKey.

On the proposal defended here, the truth conditions in (26) differ from those for run-of-the-mill cases of quantification over events only in that the members of the spatial DistKey are plural individuals (i.e. groups of monkeys). We take up this issue in the context of Champollion’s (2016b) parameters of variation for distributivity operators.

4.1.1 Distribution over spatio/temporal locations

Recall that not all DD items also distribute over spatio/temporal aspects of events. Those that double as determiners (e.g. each) cannot, while DD items such as jeweils or po can. Champollion (2016b: 4) takes this semantic variation to reflect the parameter settings for distributivity operators: granularity and dimension. Granularity specifies the “size of the entities over which we distribute: e.g. atoms or amounts of space or time.” Dimension specifies the domain of distributivity: either participants/theta-roles or space/time intervals. These parameters interact. If the granularity parameter is set to atoms (as is the case for each), then distribution over spatial/temporal dimensions is excluded: since time is a continuous and non-count dimension, there are no atoms to distribute over. If granularity is left unspecified (as is the case for jeweils), distribution over non-count dimensions like time is possible.

Clearly, the granularity parameter for po/-ssik is unspecified since they can distribute over entities that are non-atomic such as time, as well as entities that are bigger than atoms – that is, groups/pluralities of atomic individuals. Crucially, however, in the latter case, distribution is over spaces, distribution is not over participants. Indeed, it cannot be over the theta-role dimension, if only because the agent argument is itself marked as the DistShare. The (locations of the) groups of monkeys serve to divide up the spatial key, to partition the spatial region into relevant spatial units that have to be exhausted. So why can po/-ssik distribute over pluralities of non-atomic individuals? The answer, we suggest, is because this is yet another instance of distribution over the spatial dimension.26 We sought to capture this with the analysis developed for (22) in (25–26). Locative po establishes a distributive relation between individual events (of monkeys dancing) and plural individuals (triplets of monkeys), requiring that there be one dancing monkey per each triplet of monkeys. The pluralities provided by the visual context thus serve to divide up the DistKey into chunks of space.

We close by pointing out that this raises the issue of whether atomic individual/participant-based distributive readings could not also be subsumed under spatial distributivity, which is a controversial issue in the literature. As Cusic (1981) and Lasersohn (1995) point out, although two atomic individuals can occupy the same space at different times, they cannot occupy the same space at the same time (Lasersohn 1995: 250). The idea then is that (atomic) participant distribution could be made to fall out from spatio/temporal distribution: with events occurring simultaneously, distribution over singular individuals would reduce to distribution over different spatial locations (since each atomic individual defines his/her own spatial location), and with events occurring over different times, to distribution over different temporal locations. We leave these issues open for further research.

5 Conclusion

This paper experimentally probed the issue of whether DistShare markers show exhaustivity requirements in two typologically very different languages, testing the Serbian marker po and the Korean marker -ssik. The empirical findings were as follows. The sentence “DISTR one monkey is dancing” in Serbian and Korean is true on a spatial event-distributive reading if, in each caged group of monkeys (provided by the visual input), there is a monkey dancing, and remains true when empty cages are added. When non-caged groups of monkeys are added, the sentence remains true only as long as in each of these non-caged groups, a monkey is dancing.

We took our empirical findings from Experiment 1 (corroborated by Experiment 2) to provide evidence that the (spatial) event-distributive reading that DistShare markers yield, involves a covert (spatial) DistKey that must be exhausted. This conclusion argues in favor of a UQ analysis. The question, however, is how the spatial DistKey is identified since it remains an implicit argument that must be recovered via context and pragmatics. Having established in Experiment 1 that the DistKey was not ranging over cages, we tested with Experiment 2, two other hypotheses made available by the visual input – namely, that the spatial DistKey was either triplets of monkeys in cages, or merely triplets of monkeys (whether they are caged or not). The later hypothesis neatly proved to be the correct one. We suggested an analysis of spatial event distribution along the lines of Zimmermann (2002b): po/-ssik is a locative pre/postposition with universal quantificational force (roughly per (each)) establishing a distributive relation between individual events (of monkeys dancing) and plural non-atomic individuals (triplets of monkeys) serving as the DistKey, requiring that there be one dancing monkey per each triplet of monkeys. This proposal receives empirical support from uses of po as a locative (quantitative, spatial, or temporal) preposition. Moreover, it nicely captures Gil’s (2013: 222) definition of distributive numerals: “The meanings of sentences containing distributive numerals can be described in terms of a binary semantic relationship of distributivity that obtains between an expression containing the distributive numeral, the distributive share, and some other expression in the sentence, the distributive key. This relationship may be expressed by means of the English preposition per, in accordance with the formula share per key.”

By experimentally probing the question of how spatial DistKeys are recovered from the context (specifically, highlighting how both the linguistic and the visual input made available together play a role in determining the relevant domain restriction) we hope to have also contributed novel empirical evidence to bear on a long standing question in the literature, that of how implicit quantifier domains are recovered (Von Fintel 1994; Stanley & Gendler Szabó 2000).27

An obvious next step is to investigate how well the analysis developed here extends to transitive sentences. The added complexity is that since transitive sentences have two arguments, while one of them will serve as the DistShare (and as such be marked by po), the other (unmarked argument of the verb) can potentially serve as an overt DistKey, thus yielding an individual-distributive reading. This further gives a strong competitor to event-distributive readings and again the challenge is in setting up the experiments, but here to test both individual and event-distributive readings. This is one of the directions of investigation we are currently developing.

Another line of investigation would be to test the hypothesis put forth that the critical reading that sentence (22) yields arises as an instance of distribution over the spatial dimension: distribution over non-atomic members of a plurality of individuals is possible because the pluralities (made available by the visual input) can serve to divide up the DistKey into chunks of space. The prediction would then be that no such reading should arise if distribution is set up to be temporal, that is, over chunks of time and not space.

We hope that our work has shown the benefit of experimental data for probing empirical generalizations and their theoretical accounts, and as such will encourage further experimental research into the different uses of DistShare markers so that we can investigate and comprehensively evaluate the best approach to semantically describe such markers.

Additional Files

The additional files for this article can be found as follows:

Appendix A

Complete model outputs for Experiments 1 and 2. DOI: https://doi.org/10.5334/gjgl.858.s1

Appendix B

Experimental items in Serbian and Korean. DOI: https://doi.org/10.5334/gjgl.858.s1

Notes

1Serbian also has universal DistKey markers (quantifiers) svi/svaki (all/every). For discussion of svaki as well as its interaction with po, see Knežević & Demirdache (2018).

2While these examples are more easily available, there are other possible, but increasingly more complex, readings to get out of the blue (e.g. two groups of four boys each could have bought two presents, resulting in eight boys and four presents in total).

3In addition, po can modify adjectives and adverbs, can also be a verbal prefix (indicating past repeated actions) or a locative (distributive) preposition. This distribution is similar to that of pluractional markers (see Hofherr-Cabredo & Laca 2012; Newman 2012; Knežević 2015).

4For further discussion of the differences between adnominal each in English, elke in Dutch, and po in Serbian, see Rouweler & Hollebrandse (2015) and Knežević (2015).

5We restrict our discussion here to adnominal jeweils which forms a constituent with a nominal expression corresponding to the DistShare expression. Jeweils, however, can also occur adverbially, yielding temporal event distributive readings, as shown in (i), unlike po, which cannot occur in an adverbial position, as shown in (ii).

    1. (i)
    1.   Peter hat
    2.   Peter has
    1. jeweils
    2. each.time
    1. gewonnen.
    2. won
    1.    ‘Peter has won each time.’

    1. (ii)
    1. *Petar
    2.   Peter
    1. je
    2. AUX
    1. po
    2. DISTR
    1. pobedio.
    2. won
    1. *’Peter has won each time.’

This yields a three-way distinction across DD elements: those like adnominal each in English which only allow individual distributive readings, those like adnominal jeweils and po which allow both individual and event distributive readings with an indefinite DistShare expression, and those like adverbial jeweils, which only allow event distributive readings.

6The *-operator yields a cumulative predicate from a non-cumulative one. X stands for a variable over sets. As defined in Krifka (1998), a predicate P is cumulative iff when P applies to two distinct elements x and y, it also applies to the (mereological) sum of x and y, as stated in (i):

(i) ∀X⊆UP [CUMP(X) ↔ ∃x,y [X(x) ∧ X(y) ∧ ¬ x = y] ∧ ∀x,y [X(x) ∧ X(y) → X(x ⊕P y)]]

7As we shall see, to extend Zimmermann’s truth conditions to spatial/temporal distribution in Serbian/Korean would involve assuming that, in the truth conditions for e.g. sentence (3) above in the text, the variable Z is a set of spatial/temporal locations, and R is the relation be located in. (3) would thus come out meaning roughly “For every element z of a contextually salient set of temporal/spatial locations Z, there is a set X of two boys and an event e such that X sings in e and e is related to z because X is located in z.” The specific extension we propose of Zimmermann’s analysis to account for our empirical findings is spelled out in section 4.1.

8We henceforth use Knežević to refer to the work developed in Knežević (2015) and Knežević & Demirdache (2017; 2018).

9Note that -gaa also occurs adverbially, as shown in (i), yielding event distributive readings, as was the case with German jeweils, but contrary to Serbian po which lacks an adverbial equivalent (see footnote 5)

    1. (i)
    1. Ax
    2. my
    1. shaa
    2. female
    1. yátx’i
    2. children
    1. dáxgaa
    2. two.DISTR
    1. has aawashúch
    2. they.bathed
    1. those
    1. keitl.
    2. dog
    1. ‘My daughters bathed those dogs two at a time.’

10σx is the maximality operator involved in the semantics of definites DPs, σ<x, y> a binary maximality operator applying to a two-place relation Q(x)(y), and ɛ the semantic type of events.

11Note that -gaa, just like po and -ssik, can attach to the subject, the object or to both arguments of the predicate.

12Although this has not been tested experimentally, we checked with a few Korean and Serbian informants who confirmed these judgments.

13Note, however, as is well-known from the acquisition literature, children up to the age of 8 or 9 reject pictures like Figure 2b with universal quantifiers like (15) because of the extra object. This phenomenon is known as quantifier spreading (The child exhaustively distributes all boys over all pianos and all pianos over all boys in a one-to-one fashion; see Brooks & Braine 1996; Drozd 2001; Roeper et al. 2011).

14Note that with transitive sentences, a number of confounding factors would have to be carefully controlled for in languages such as Serbian or Korean which have bare/determinerless nominals and freedom of word order, in particular, the interpretation of bare nominals in subject/topic position.

15There was one additional non-exhausted condition (for the same test sentence) in the original design, involving spatial units with other animals V-ing, e.g. hippos dancing in two of the cages. We considered this condition to be a filler since it does not help in answering our research question. When this condition is included, animals and actions were balanced across items.

16The characters in the experiment we set up were animals typically found in a zoo: bears, parrots, owls, canaries, hippos, rhinos, elephants, monkeys, chimps, gorillas, giraffes, zebras, horses, lions, tigers and panthers. The verbs were: to jump, to cry, to sing, to dance, to sit, to lay down, to wave and to fly.

17The actual animal in the picture is a chimpanzee but we use the term monkey in the examples because it is a more common word.

18An AIC (Akaike information criterion) decrease of more than two indicates that the goodness of fit of the model improved significantly (Akaike 1974).

19Picture B is named B1 but it is the same as in the previous experiment, to balance the design and have a type of filler since, in essence, we are only testing pictures A1 and C1.

20The groups of monkeys may contain other irrelevant individuals (animals) as well, but as long as there is one monkey dancing in that relevant group, the generalization holds. This, however, is a separate observation already discussed by McKercher and Kim (1999) and confirmed by several Serbian informants.

21It is important to bear in mind that distribution is taking place over pluralities/triplets of monkeys, not individual monkeys, for the very simple reason that the numeral NP one monkey is marked as the DistShare. We see clear empirical evidence for this in the ceiling acceptance for the baseline A/A1 condition that does not exhaust the individual monkeys.

22We choose to adopt Zimmermann’s proposal that DD items have a core prepositional meaning introducing a free relation variable R for two correlated reasons: First, po is indeed a proposition with the meaning in some contexts of per (each) (see (25a) in the text below). Second, the proposal that the value of the relation R holding between the DistShare and the DistKey is pragmatically determined by context allows us to capture the idea that event distribution here is over triplets of monkeys, with R in the case at hand being the relation holding between monkeys and the triplets they belong to. We thank a reviewer for insightful discussion of this point.

23Note that there is also evidence from Korean for this analysis since, as Zimmermann (2002b) himself mentions: the postnominal DistShare marker -ssik is a particle treated as a postposition.

24A numeral n is taken to denote the property of being a set of n elements. The complex predicate n monkeys thus denotes the complex property of being a set containing n monkeys, abbreviated “λX. n-monkeys’(X)”.

25Indeed, Carlson & Filip (2001: 452) explicitly argue that “the [Czech verbal] distributive prefix po- also involves universal quantification, because it requires that the property expressed by its base verb be attributable to each such unit, namely to each atomic individual member or to each relevant group into which the domain of interpretation is divided.” (emphasis added).

26It goes without saying that quantification over groups coincides with quantification over spatial locations occupied by these subgroups only to the extent that the subgroups in question occupy distinct spatial locations. That is, if groups occupy the same location at different times, then we are distributing over time intervals and not space. Likewise, if two different groups have the same participants, then distribution will again necessarily be temporal (since the same individual cannot occupy at the same time two different spaces).

27We thank an anonymous reviewer for emphasizing this important point.

Abbreviations

ACC = accusative, AUX = auxiliary, CLF = classifier, DEC = declarative, DISTR = distributive, LOC = locative, NOM = nominative, PAST = past, PL = plural, PROG = progressive.

Acknowledgements

Jennifer Spenader and Hamida Demirdache should be considered joint senior authors of this paper. The authors wish to thank Nataša Knežević, Boban Arsenijević, Orin Percus, Bart Hollebrandse, Angeliek van Hout, Anamaria Fălăuş, Jakub Dotlačil, Ken Drozd, Marijana Marelj and Anna de Koster, and three anonymous reviewers for invaluable discussions, advice, comments and feedback they provided on different stages of this paper. Special thanks go to Jiyoung Choi for Korean translations both for the experiment and in the paper. We also thank our research groups and labs for useful meetings and discussions: the Laboratoire de Linguistique de Nantes (LLING) UMR 6310 CNRS/University of Nantes, the Acquisition Lab and the Semantics and Cognition group/University of Groningen. Conducting this research would not have been possible without numerous informants, and all the participants in our experiments, who we thank for their input and judgments. This research was partly sponsored by Ammodo (Groningen – Nantes Van Gogh research grant).

Competing Interests

The authors have no competing interests to declare.

References

  1. Akaike, Hirotugu. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control 19. 716–723. DOI: https://doi.org/10.1109/TAC.1974.1100705 

  2. Balusu, Rahul. 2006. Distributive reduplication in Telugu. Proceedings North East Linguistic Society (NELS) 36(1). 39–52. 

  3. Balusu, Rahul & Karattuparambil A. Jayaseelan. 2013. Distributive quantification by reduplication in Dravidian. In Kook-Hee Gil, Stephen Harlow & George Tsoulas (eds.), Strategies of quantification, 60–86. Oxford, UK: Oxford University Press. DOI: https://doi.org/10.1093/acprof:oso/9780199692439.001.0001 

  4. Bates, Douglas, Martin Mächler, Ben Bolker & Steve Walker. 2015. Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67(1). 1–48. DOI: https://doi.org/10.18637/jss.v067.i01 

  5. Beck, Sigrid & Arnim Von Stechow. 2007. Pluractional adverbials. Journal of Semantics 24.3. 215–254. DOI: https://doi.org/10.1093/jos/ffm003 

  6. Brooks, Patricia J. & Martin D. Braine. 1996. What do children know about the universal quantifiers all and each? Cognition 60(3). 235–268. DOI: https://doi.org/10.1016/0010-0277(96)00712-3 

  7. Cable, Seth. 2014. Distributive numerals and distance distributivity in Tlingit (and beyond). Language 90(3). 562–606. DOI: https://doi.org/10.1353/lan.2014.0055 

  8. Champollion, Lucas. 2016b. Overt distributivity in algebraic event semantics. Semantics and Pragmatics 9(16). 1–65. DOI: https://doi.org/10.3765/sp.9.16 

  9. Choe, Jae-Woong. 1987. Anti-quantifiers and a theory of distributivity. Amherst, MA: University of Massachusetts dissertation. 

  10. Cusic, David Dowell. 1981. Verbal plurality and Aspect. Stanford, CA: Stanford University dissertation. 

  11. Drozd, Kenneth. 2001. Children’s weak interpretations of universally quantified questions. Language acquisition and conceptual development (3). 340–376. DOI: https://doi.org/10.1017/CBO9780511620669.014 

  12. Faller, Martina. 2001. The problem of Quechua -nka – distributivity vs. group forming. Proceedings of Semantics of Under-Represented Languages in the Americas (SULA). 38–46. 

  13. Farkas, Donka F. 1997. Dependent indefinites. In Francis Corblin, Danièle Godard and Jean-Marie Marandin (eds.), Empirical issues in formal syntax and semantics, 243–268. Bern, Switzerland: Peter Lang Publishers. 

  14. Filip, Hana & Gregory N. Carlson. 2001. Distributivity strengthens reciprocity, collectivity weakens it. Linguistics and philosophy 24 (4). 417–466. DOI: https://doi.org/10.1023/A:1010621109497 

  15. Gil, David. 1982. Distributive numerals. Los Angeles, CA: University of California dissertation. 

  16. Gil, David. 1990. Markers of distributivity in Japanese and Korean. Japanese/Korean Linguistics 1. 385–393. 

  17. Gil, David. 1995. Universal quantifiers and distributivity. Quantification in natural languages 2. 321–362. DOI: https://doi.org/10.1007/978-94-017-2817-1_11 

  18. Gil, David. 2013. Distributive numerals. In Matthew S. Dryer & Martin Haspelmath (eds.), World Atlas of Language Structures, 222–225. Leipzig, Germany: Max Planck Institute for Evolutionary Anthropology. https://wals.info/chapter/54. 

  19. Henderson, Robert. 2011. Pluractional distributivity and dependence. Semantics and Linguistic Theory 21. 218–235. DOI: https://doi.org/10.3765/salt.v0i0.2612 

  20. Henderson, Robert. 2014. Dependent indefinites and their post-suppositions. Semantics and Pragmatics 7(6). 1–58. DOI: https://doi.org/10.3765/sp.7.6 

  21. Hofherr, Patricia Cabredo & Brenda Laca (eds.). 2012. Verbal plurality and distributivity 546. Berlin, Germany: Walter de Gruyter. DOI: https://doi.org/10.1515/9783110293500.1 

  22. Hofherr, Patricia Cabredo & Urtzi Etxeberria. 2017. Distributive numerals in Basque. In Proceedings of 21st Amsterdam Colloquium, 185–194. 

  23. Knežević, Nataša. 2015. Numerals and distributivity in Serbian: At the syntax-semantics-acquisition interface. Nantes, France: University of Nantes dissertation. https://semanticsarchive.net/Archive/WNhMWQyM/. 

  24. Knežević, Nataša & Hamida Demirdache. 2017. On the acquisition of distributive numerals in Serbian. In Language Acquisition and Development. Proceedings of Generative Approaches to Language Acquisition 2015 (GALA), 83–107. 

  25. Knežević, Nataša & Hamida Demirdache. 2018. Universal quantification and distributive marking in Serbian. In Katalin É. Kiss & Tamás Zétényi (eds.), Linguistic and Cognitive Aspects of Quantification, 115–140. Dordrecht, The Netherlands: Springer. DOI: https://doi.org/10.1007/978-3-319-91566-1_6 

  26. Krifka, Manfred. 1998. The origins of telicity. In Susan Rothstein (ed.), Events and grammar, 197–235. Dordrecht, The Netherlands: Springer. DOI: https://doi.org/10.1007/978-94-011-3969-4_9 

  27. Lasersohn, Peter. 1995. Plurality, conjunction, and events. Berlin, Germany: Kluwer Academic Publishers. DOI: https://doi.org/10.1007/978-94-015-8581-1 

  28. Matthewson, Lisa. 2000. On distributivity and pluractionality. Semantics and Linguistic Theory 10. 98–114. DOI: https://doi.org/10.3765/salt.v10i0.3105 

  29. McKercher, David & Yookyung Kim. 1999. What does ssik in Korean really mean. Japanese/Korean Linguistics 9. 239–252. 

  30. Müller, Ana & Esmeralda Vailati Negrão. 2012. On distributivity in Karitiana. In Patricia Cabredo Hofherr & Brenda Laca (eds.), Verbal plurality and distributivity 546, 159–184. DOI: https://doi.org/10.1515/9783110293500.159 

  31. Newman, Paul. 1980. The classification of Chadic within Afroasiatic. Leiden, The Netherlands: Universitaire Pers. 

  32. Newman, Paul. 2012. Pluractional verbs: An overview. In Patricia Cabredo Hofherr & Brenda Laca (eds.), Verbal plurality and distributivity 546, 185–210. DOI: https://doi.org/10.1515/9783110293500.185 

  33. Oh, Sei-Rang. 2001. Distributivity in an event semantics. Proceedings of Semantics and Linguistic Theory (SALT) 11. 326–345. DOI: https://doi.org/10.3765/salt.v0i0.2844 

  34. Oh, Sei-Rang. 2006. Plurality markers across languages. Storrs, CT: University of Connecticut dissertation. 

  35. Pasquereau, Jérémy. 2018. Event plurality in Seri. In Proceedings of SULA 10. 1–15. 

  36. R Core Team. 2014. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org/. 

  37. Roeper, Thomas, Barbara Zurer Pearson & Margaret Grace. 2011. Quantifier spreading is not distributive. In Proceedings of Boston University Conference on Language Development (BUCLD) 35. 526–539. 

  38. Rouweler, Liset & Bart Hollebrandse. 2015. Distributive, collective and “everything” in between: Interpretation of universal quantifiers in child and adult language. Linguistics in the Netherlands 32.1. 130–141. DOI: https://doi.org/10.1075/avt.32.10rou 

  39. Stanley, Jason & Zoltan Gendler Szabó. 2000. On quantifier domain restriction. Mind & Language, 15(2–3). 219–261. DOI: https://doi.org/10.1111/1468-0017.00130 

  40. Von Fintel, Kai. 1994. Restrictions on quantifier domains. Amherst, MA: University of Massachusetts dissertation. 

  41. Zimmermann, Malte. 2002a. A compositional analysis of anti-quantifiers as quantifiers. Semantics and Linguistic Theory 12. 322–338. DOI: https://doi.org/10.3765/salt.v0i0.2876 

  42. Zimmermann, Malte. 2002b. Boys buying two sausages each: On the syntax and semantics of distance-distributivity. Utrecht, The Netherlands: University of Utrecht dissertation. 

  43. Zimmermann, Malte. 2008. Quantification in Hausa. Quantification: Universals and variation, 64. 415–475. 

comments powered by Disqus