October 16 th 2015, Budapest Workshop on Linguistic and Cognitive aspects of Quantification

Size: px
Start display at page:

Download "October 16 th 2015, Budapest Workshop on Linguistic and Cognitive aspects of Quantification"

Transcription

1 October 16 th 2015, Budapest Workshop on Linguistic and Cognitive aspects of Quantification

2 The semantics and the acquisition of the distributive marker po, which is notorious, (common to Slavic and has very broad distribution); our focus po combining with numerals in different argument positions (subject and object)

3 What is the semantics of po? How do adults and children understand sentences with po combining with numerals (po-numerals)?

4 a universal distributive quantifier (each) a distributive-share marker (Choe 1987) a distance-distributive marker (Zimmermann 2002) a pluractional marker (Newman 1990, Lasersohn 1995)?

5 Part 1: po is not a universal quantifier Part 2: po quantifies over events Part 3: experiment Part 4: discussion

6 Distributive Collective (i) Three kids are riding a horse.

7 Most of the data come from the languages with the universal distributive quantifier (e.g. each) (i) Three kids are riding a horse. Distributive: each of the three kids is riding a horse

8 PO IS NOT A UNIVERSAL QUANTIFIER

9 (1) Tri devojčice drže dva balona. three girls hold two balloons Three girls hold two balloons. collective: together distributive: separately/each

10 (2) Tri devojčice drže po dva balona. three girls hold po two balloons Three girls hold two balloons separately/each. Three girls hold two balloons at separate locations/time intervals. # collective: together distributive: separately/each distributive: at separate locations/time intervals

11 participant distributive Three girls hold two balloons separately/each. > distribution is over event participants (girls) (cf. Cable 2014)

12 event-distributive Three girls hold two balloons at separate locations/time intervals. > distribution is over locations/times

13 (2) [Devojčice] key drže [po dva balona] share girls hold po two balloon (3) [Each girl] key holds [two balloons] share -Share is what is distributed -Key is distributed over

14 (2) [Devojčice] key drže [po dva balona] share girl hold po two balloon po attaches to the share (what is distributed)

15 (3) [Each girl] key hold [two balloons] share each (determiner-like) attaches to the key (the NP over which the distribution takes place)

16 x [x is a girl] [( y) y is 2 balloons x holds y] [Each girl] [holds two balloons]. [Devojčice] [drže po dva balona]. girls hold po two balloons

17 (3) Each girl holds two balloons. Exhaustivity (goup of girls needs to be exhausted) Atomicity (the group of girls needs to be partitioned into atoms)

18 (3) Each girl holds two balloons. Context A: Mary and Jane hold 2 balloons together and Rose holds 2 balloons Context B: Mary and Jane hold 2 balloons each while Rose is holding 2 kites

19 (2) Devojčice drže po dva balona. girls hold po two balloon no exhaustivity requirement (the group of girls needs not be exhausted) no atomicity requirement (the group of girls needs not be partitioned in atoms)

20 (2) Devojčice drže po dva balona girls hold po two balloon Context A: Mary and Jane hold 2 balloons together and Rose holds 2 balloons Context B: Mary and Jane hold 2 balloons each while Rose is holding 2 kites

21 Differences Spatial/temporal distribution Non-exhaustive context Non-atomic context po each, UQ or DD (floated)

22 one way of salvaging the key-share view: exhaustivity requirement is over events (the key is always an event - spatiotemporal argument) hard to disprove or test

23 G1: No atomic partitioning requirement Participants in the described events do not have to be atomically partitioned (they can also be partitioned into groups or not partitioned at all). G2: No exhaustivity requirement The group of participants in the event needs not be exhausted ( exhaustively distributed over ). This holds even in the case where the distribution is over atomic participants.

24 po is not a universal distributive quantifier po attaches to what is distributed (distshare)

25 PO QUANTIFIES OVER EVENTS

26 Claim po systematically involves distribution over spaces/times participant-distribution follows from event-distribution

27 (1) Tri devojčice drže po dva balona (2) Three girls each hold two balloons. Each of the three girls holds two balloons. participant-distributive (exhaustive and atomic)

28 (1) Tri devojčice drže po dva balona (2) Three girls each hold two balloons. Some (but not necessary all) girls holds two balloons in groups or individually. participant-distributive (not exhaustive and not atomic)

29 (1) Tri devojčice drže po dva balona. (2) Three girls each hold two balloons. Three girls hold two balloons at separate locations or/and time intervals. event-distributive

30 po semantically combines first with a numeral (n) and then with an NP and there must be at least two events that involve an NP of the cardinality n (cumulation of events involving nnp, ex. po 2 balloons)

31 [[po]] = n. Q <e,t>. P <e, t>. e. e * nq & e nq & x. Q(x) = 1 & P(x)(e) = 1

32 Tri devojčice drže po dva balona three girls hold po two balloons - A plurality of events constructed out of single events involving 2 balloons

33 hold-event agent theme e 1 Mary b 1 +b 2 e 2 Jane b 3 +b 4 e 3 Rose b 5 +b 6 *hold-event_ agent-sum theme-sum e 1 +e 2 Mary+Jane b 1 +b 2 +b 3 +b 4 e 1 +e 2 +e 3 Mary+Jane+Rose b 1 +b 2 + b 3 +b 4 +b 5 +b 6 - at least two events involving 2 balloons

34 hold-event agent theme e 1 Mary+Jane+Rose b 1 +b 2 e 2 Mary+Jane+Rose b 3 +b 4 e 3 Mary+Jane+Rose b 5 +b 6 *hold-event_ agent-sum theme-sum e 1 +e 2 +e 3 Mary+Jane+Rose b 1 +b 2 + b 3 +b 4 +b 5 +b 6 - at least two events involving 2 balloons

35 po is not a universal distributive quantifier like each, since it does not require atomic partitioning of the group of participants or exhaustive distribution over participants po quantifies over spatiotemporal units (events) quantification over events derives so-called quantification over participants the participants can but need not be atomic or exhausted

36 ACQUISITION

37 Do children know that po yields: event-distributive readings (distribution over space/time) participant-distributive readings (events involving atomic participants) and syntactically attaches to what is distributed (distributive share, cf. Choe 1987)?

38 (1) po-object sentences Tri devojčice drže po dva balona. three girls hold po two balloon Three girls are (each) / separately holding two balloons. (2) po-subject sentences Po tri devojčice drže dva balona. po three girls hold two balloon Three girls are holding each of two balloons. (3) double-po sentences Po tri devojčice drže po dva balona. po three girls hold po two balloon Three girls are holding two balloons at separate locations.

39 Subject-distributive (SD) (1) Tri devojčice drže po dva balona. three girls hold po two balloons Three girls are (each) / separately holding two balloons.

40 Object-distributive (OD) Po tri devojčice drže dva balona. po three girls hold two balloons Three girls are holding each of two balloons.

41 Event-distributive (ED) (3) Po tri devojčice drže po dva balona. po three girls hold po two balloons Three girls are holding two balloons at separate locations.

42 SD OD ED po-object YES NO YES po-subject NO YES YES double-po NO NO YES

43 Children: N=19, between ages 6;8 and 7;6 (MA= 6.5, SD = 0.5,10 girls) Adults: N=17, f=12, MA= 35.5, sd=8.8

44 54 test items 18 distracters block design (24 items) balanced across subjects TVJT

45 H1: All po-sentences allow eventdistributive readings. H2: The position of po determines the type of a participant-distributive reading of the sentence (subject-distributive or object-distributive).

46 po-object po-subject double-po SD OD ED

47 The syntactic position of po determines the participant-distributive reading of its sentence (supporting H2)

48 Object-distributive readings (OD) were accepted significantly less than all other readings (unpredicted)

49 the information structure hypothesis: Left-most peripheral positions are suitable topics (Godjevac 2003) Nonspecific NPs are not suitable candidates for topics po-phrases are nonspecific (Choe 1987)

50 Well formed: (1)a. Tri devojčice drže po dva balona. three girls hold po two balloons b. [ TopP [tri devojčice] 1 [ IP t 1 drže po dva balona] ]

51 Ill-formed (2) Po tri devojčice drže dva balona. po three girls hold two balloons po-phrase is non-specific (unsuitable topic) and occupies the left-most position (topic position)

52 Adults do not like po-initial sentences and not OD contexts

53 prediction: [ TopP [dva balona] 1 [ IP po tri devojčice drže t 1 ] ] two balloons po three girls hold

54 po-object po-subject double-po SD OD ED

55 G1:Children accept both participantdistributive and event-distributive readings G2:Children are not sensitive to the locus of po G3:Children do not like distributing subjects alone (without objects)

56 G1 and G2 children do not know the meaning of po G3: Children do not like distributing subjects alone (without objects) Why?

57 Children Adults po-object po-subject double-po 20.2% vs. 47.1%, 2 (1) = 16.4, p < 0.001

58 sentences with two numerals involve scope relations between two nnps the inverse scope construal (objectdistributive) is disprefered to surface scope (subject-distributive)

59 But our analysis of distributivity in Serbian does not rely on scope - the scope of two nnps is not relevant for the resulting (participant) distributive reading

60 Could it be that scope is relevant for children? NO

61 The truth-conditions of double-po sentences are very problematic for scopal analysis, but follow from event quantification Children accept double-po sentences at high rates

62 (3) Po three girls hold po two balloons - true in the scenario: every day, three girls together hold two balloons > follows from event quantification analysis but not from scopal analysis

63 thematic prominence of arguments, may be more important for children than scope relations (Lee 2003, É. Kiss et al. 2012)

64 Hierarchy of thematic roles in children (Lee 2003; cf. É. Kiss et al. 2012) ACTOR > LOCATION > PATIENT

65 Children at age 6: know that po yields event-distributive and participant-distributive readings; have no problems with double-po sentences and ED reading Claim: po quantifies over events and participants-distribution should be reduced to event-distribution

66 Acquisition: How to further experimentaly investigate this claim Temporal distribution with po Theory: Other instances of po

67 locative preposition (spatiotemporal meaning) Attaches also to: numerals po tri (po three) weak quantifiers po mnogo (po many) bare singular nouns po brod (po boat) verbs, adverbs, adjectives systematically introduces spatiotemporal separation/grouping/distribution (among other meanings)

68 THANK YOU! Thanks to Ana Bosnić for data collection

Strange goings on! Jones did it slowly, deliberately, in the bathroom, with a knife, at midnight. What he did was butter a piece of toast.

Strange goings on! Jones did it slowly, deliberately, in the bathroom, with a knife, at midnight. What he did was butter a piece of toast. CHAPTER 9: EVENTS AND PLURALITY 9.1. Neo-Davidsonian event semantics. "Strange goings on! Jones did it slowly, deliberately, in the bathroom, with a knife, at midnight. What he did was butter a piece of

More information

Semantics and Generative Grammar. A Little Bit on Adverbs and Events

Semantics and Generative Grammar. A Little Bit on Adverbs and Events A Little Bit on Adverbs and Events 1. From Adjectives to Adverbs to Events We ve just developed a theory of the semantics of adjectives, under which they denote either functions of type (intersective

More information

SEMANTICS OF POSSESSIVE DETERMINERS STANLEY PETERS DAG WESTERSTÅHL

SEMANTICS OF POSSESSIVE DETERMINERS STANLEY PETERS DAG WESTERSTÅHL SEMANTICS OF POSSESSIVE DETERMINERS STANLEY PETERS DAG WESTERSTÅHL Linguistics Department, Stanford University Department of Philosophy, Göteborg University peters csli.stanford.edu, dag.westerstahl phil.gu.se

More information

Ling 98a: The Meaning of Negation (Week 5)

Ling 98a: The Meaning of Negation (Week 5) Yimei Xiang yxiang@fas.harvard.edu 15 October 2013 1 Review Negation in propositional logic, oppositions, term logic of Aristotle Presuppositions Projection and accommodation Three-valued logic External/internal

More information

Spring 2012 Ling 753 Pluractionals and Frequentative Readings of Activities and Accomplishments: van Geenhoven 2004

Spring 2012 Ling 753 Pluractionals and Frequentative Readings of Activities and Accomplishments: van Geenhoven 2004 Pluractionals and Frequentative Readings of Activities and Accomplishments: van Geenhoven 2004 1. A Background Puzzle in English (1) Some of the Primary Results / Conclusions of the Paper a. Given certain

More information

Homogeneity and Plurals: From the Strongest Meaning Hypothesis to Supervaluations

Homogeneity and Plurals: From the Strongest Meaning Hypothesis to Supervaluations Homogeneity and Plurals: From the Strongest Meaning Hypothesis to Supervaluations Benjamin Spector IJN, Paris (CNRS-EHESS-ENS) Sinn und Bedeutung 18 Sept 11 13, 2013 1 / 40 The problem (1) Peter solved

More information

An Alternatives-based Semantics for Dependent Plurals

An Alternatives-based Semantics for Dependent Plurals An Alternatives-based Semantics for Dependent Plurals Serge Minor CASTL, University of Tromsø 1 Properties of Dependent Plurals 1.1 Scopelessness Bare plural noun phrases in the context of other plurals

More information

ON THE LOGIC OF VERBAL MODIFICATION DAVID BEAVER AND CLEO CONDORAVDI

ON THE LOGIC OF VERBAL MODIFICATION DAVID BEAVER AND CLEO CONDORAVDI ON THE LOGIC OF VERBAL ODIFICATION DAVID BEAVER AND CLEO CONDORAVDI Department of Linguistics University of Texas at Austin dib@mail.utexas.edu PARC and Department of Linguistics Stanford University condorav@csli.stanford.edu

More information

Semantics 2 Part 1: Relative Clauses and Variables

Semantics 2 Part 1: Relative Clauses and Variables Semantics 2 Part 1: Relative Clauses and Variables Sam Alxatib EVELIN 2012 January 17, 2012 Reviewing Adjectives Adjectives are treated as predicates of individuals, i.e. as functions from individuals

More information

Contexts for Quantification

Contexts for Quantification Contexts for Quantification Valeria de Paiva Stanford April, 2011 Valeria de Paiva (Stanford) C4Q April, 2011 1 / 28 Natural logic: what we want Many thanks to Larry, Ulrik for slides! Program Show that

More information

Proseminar on Semantic Theory Fall 2010 Ling 720. Remko Scha (1981/1984): Distributive, Collective and Cumulative Quantification

Proseminar on Semantic Theory Fall 2010 Ling 720. Remko Scha (1981/1984): Distributive, Collective and Cumulative Quantification 1. Introduction Remko Scha (1981/1984): Distributive, Collective and Cumulative Quantification (1) The Importance of Scha (1981/1984) The first modern work on plurals (Landman 2000) There are many ideas

More information

CAS LX 522 Syntax I Fall 2000 October 10, 2000 Week 5: Case Theory and θ Theory. θ-theory continued

CAS LX 522 Syntax I Fall 2000 October 10, 2000 Week 5: Case Theory and θ Theory. θ-theory continued CAS LX 522 Syntax I Fall 2000 October 0, 2000 Paul Hagstrom Week 5: Case Theory and θ Theory θ-theory continued From last time: verbs have θ-roles (e.g., Agent, Theme, ) to assign, specified in the lexicon

More information

Introduction to Semantics. The Formalization of Meaning 1

Introduction to Semantics. The Formalization of Meaning 1 The Formalization of Meaning 1 1. Obtaining a System That Derives Truth Conditions (1) The Goal of Our Enterprise To develop a system that, for every sentence S of English, derives the truth-conditions

More information

Parasitic Scope (Barker 2007) Semantics Seminar 11/10/08

Parasitic Scope (Barker 2007) Semantics Seminar 11/10/08 Parasitic Scope (Barker 2007) Semantics Seminar 11/10/08 1. Overview Attempts to provide a compositional, fully semantic account of same. Elements other than NPs in particular, adjectives can be scope-taking

More information

Peter Hallman, University of Vienna

Peter Hallman, University of Vienna All and Every as Quantity Superlatives Peter Hallman, University of Vienna peter.hallman@univie.ac.at Summary An analysis is proposed that captures similarities between most and all in English bytreatingall

More information

Spring 2012 Ling 753 A Basic Introduction to Pluractionals: Lasersohn (1995: Chapter 13)

Spring 2012 Ling 753 A Basic Introduction to Pluractionals: Lasersohn (1995: Chapter 13) A Basic Introduction to Pluractionals: Lasersohn (1995: Chapter 13) 1. Pluractionals, The Basic Facts In many languages of the world and especially in those of West Africa, Americas, South Asia there is

More information

Processing of scalar quantifiers: the case of Locatives

Processing of scalar quantifiers: the case of Locatives Processing of scalar quantifiers: the case of Locatives Tasos Chatzikonstantinou (University of Chicago) Michaela Nerantzini (Northwestern University) Napoleon Katsos (University of Cambridge) Jordan Fenlon

More information

Proseminar on Semantic Theory Fall 2010 Ling 720 The Basics of Plurals: Part 1 1 The Meaning of Plural NPs and the Nature of Predication Over Plurals

Proseminar on Semantic Theory Fall 2010 Ling 720 The Basics of Plurals: Part 1 1 The Meaning of Plural NPs and the Nature of Predication Over Plurals The Basics of Plurals: Part 1 1 The Meaning of Plural NPs and the Nature of Predication Over Plurals 1. Introductory Questions and Guesses (1) Blindingly Obvious Fact about Natural Language There is number

More information

Spring 2012 Ling 753 A Review of Some Key Ideas in the Semantics of Plurals. 1. Introduction: The Interpretations of Sentences Containing Plurals

Spring 2012 Ling 753 A Review of Some Key Ideas in the Semantics of Plurals. 1. Introduction: The Interpretations of Sentences Containing Plurals A Review of Some Key Ideas in the Semantics of Plurals 1. Introduction: The Interpretations of Sentences Containing Plurals (1) Overarching Questions What are the truth-conditions of sentences containing

More information

TALP at GeoQuery 2007: Linguistic and Geographical Analysis for Query Parsing

TALP at GeoQuery 2007: Linguistic and Geographical Analysis for Query Parsing TALP at GeoQuery 2007: Linguistic and Geographical Analysis for Query Parsing Daniel Ferrés and Horacio Rodríguez TALP Research Center Software Department Universitat Politècnica de Catalunya {dferres,horacio}@lsi.upc.edu

More information

Basics of conversational implicatures

Basics of conversational implicatures Semantics I, Rutgers University Week 12 Yimei Xiang November 19, 2018 1. Implication relations Basics of conversational implicatures Implication relations are inferential relations between sentences. A

More information

Hardegree, Formal Semantics, Handout of 8

Hardegree, Formal Semantics, Handout of 8 Hardegree, Formal Semantics, Handout 2015-04-07 1 of 8 1. Bound Pronouns Consider the following example. every man's mother respects him In addition to the usual demonstrative reading of he, x { Mx R[m(x),

More information

1. Background. Task: Determine whether a given string of words is a grammatical (well-formed) sentence of language L i or not.

1. Background. Task: Determine whether a given string of words is a grammatical (well-formed) sentence of language L i or not. Constraints in Syntax [1] Phrase Structure and Derivations Düsseldorf LSA/DGfS Summerschool 2002 Gereon Müller (IDS Mannheim) gereon.mueller@ids-mannheim.de 1. Background Task: Determine whether a given

More information

Semantics I, Rutgers University Week 3-1 Yimei Xiang September 17, Predicate logic

Semantics I, Rutgers University Week 3-1 Yimei Xiang September 17, Predicate logic Semantics I, Rutgers University Week 3-1 Yimei Xiang September 17, 2018 Predicate logic 1. Why propositional logic is not enough? Discussion: (i) Does (1a) contradict (1b)? [Two sentences are contradictory

More information

list readings of conjoined singular which -phrases

list readings of conjoined singular which -phrases list readings of conjoined singular which -phrases Andreea C. Nicolae 1 Patrick D. Elliott 2 Yasutada Sudo 2 NELS 46 at Concordia University October 18, 2015 1 Zentrum für Allgemeine Sprachwissenschaft

More information

Two sets of alternatives for numerals

Two sets of alternatives for numerals ECO5 @ Harvard April 11, 2015 Teodora Mihoc, tmihoc@fas.harvard.edu Alexander Klapheke, klapheke@fas.harvard.edu Two sets of alternatives for numerals Contents 1 Preliminaries 1 2 Horn-style alternatives:

More information

Hardegree, Formal Semantics, Handout of 8

Hardegree, Formal Semantics, Handout of 8 Hardegree, Formal Semantics, Handout 2015-03-24 1 of 8 1. Number-Words By a number-word or numeral 1 we mean a word (or word-like compound 2 ) that denotes a number. 3 In English, number-words appear to

More information

Logical Translations Jean Mark Gawron San Diego State University. 1 Introduction 2

Logical Translations Jean Mark Gawron San Diego State University. 1 Introduction 2 Logical Translations Jean Mark Gawron San Diego State University Contents 1 Introduction 2 2 Truth-Functional Connectives 2 2.1 And................................ 2 2.2 Or.................................

More information

Quantification: Quantifiers and the Rest of the Sentence

Quantification: Quantifiers and the Rest of the Sentence Ling255: Sem & Cogsci Maribel Romero February 17, 2005 Quantification: Quantifiers and the Rest of the Sentence 1. Introduction. We have seen that Determiners express a relation between two sets of individuals

More information

Non-Existential Indefinites and Semantic Incorporation of PP Complements

Non-Existential Indefinites and Semantic Incorporation of PP Complements Non-Existential Indefinites and Semantic Incorporation of PP Complements Sela Mador-Haim Technion Yoad Winter Technion/NIAS/Utrecht University 1. Introduction Non-existential interpretations of indefinites

More information

Introduction to Semantics. Common Nouns and Adjectives in Predicate Position 1

Introduction to Semantics. Common Nouns and Adjectives in Predicate Position 1 Common Nouns and Adjectives in Predicate Position 1 (1) The Lexicon of Our System at Present a. Proper Names: [[ Barack ]] = Barack b. Intransitive Verbs: [[ smokes ]] = [ λx : x D e. IF x smokes THEN

More information

Generalized Quantifiers & Categorial Approaches & Intensionality

Generalized Quantifiers & Categorial Approaches & Intensionality LING 147. Semantics of Questions Week 2 Yimei Xiang September 8, 2016 Last week Generalized Quantifiers & Categorial Approaches & Intensionality The semantics of questions is hard to characterize directly.

More information

Degree pluralities : distributive, cumulative and collective readings of comparatives

Degree pluralities : distributive, cumulative and collective readings of comparatives Degree pluralities : distributive, cumulative and collective readings of comparatives Jakub Dotlačil (Groningen) & Rick Nouwen (Utrecht) February 14, 2014, Paris 1 John lifted the box. 1 John lifted the

More information

564 Lecture 25 Nov. 23, Continuing note on presuppositional vs. nonpresuppositional dets.

564 Lecture 25 Nov. 23, Continuing note on presuppositional vs. nonpresuppositional dets. 564 Lecture 25 Nov. 23, 1999 1 Continuing note on presuppositional vs. nonpresuppositional dets. Here's the argument about the nonpresupp vs. presupp analysis of "every" that I couldn't reconstruct last

More information

Berlin, May 16 / 2003

Berlin, May 16 / 2003 Berlin, May 16 / 2003 1 The challenge of free choice permission The basic puzzle epistemic variants wide disjunction FC permission and quantification Conjunctive permission 2 The basic puzzle (1) a. You

More information

Seminar in Semantics: Gradation & Modality Winter 2014

Seminar in Semantics: Gradation & Modality Winter 2014 1 Subject matter Seminar in Semantics: Gradation & Modality Winter 2014 Dan Lassiter 1/8/14 Handout: Basic Modal Logic and Kratzer (1977) [M]odality is the linguistic phenomenon whereby grammar allows

More information

Worlds and Models Hyderabad CogSci Colloquium, March 09

Worlds and Models Hyderabad CogSci Colloquium, March 09 Worlds and Models Hyderabad CogSci Colloquium, March 09 1. Principles of Truth-conditional Semantics Most Certain Principle Cresswell (1982: 69) If S 1 and S 2 are declarative sentences such that, under

More information

Object 'Wide Scope and Semantic Trees 1. Dorit Ben-Shalom UCLA

Object 'Wide Scope and Semantic Trees 1. Dorit Ben-Shalom UCLA 19 Object 'Wide Scope and Semantic Trees 1 Dorit Ben-Shalom UCLA 1 Introduction Contrary to what is often assumed, object wide scope (OWS)readings are in fact severely restricted. Liu (1990) conducted

More information

A Fregean Semantics for Number Words

A Fregean Semantics for Number Words A Fregean Semantics for Number Words Susan Rothstein Bar-Ilan University, Ramat Gan Israel susan.rothstein@biu.ac.il Abstract This paper proposes a Fregean semantics for cardinal numbers, analysing them

More information

Scalar Implicatures: Are There Any?

Scalar Implicatures: Are There Any? Scalar Implicatures: Are There Any? Angelika Kratzer University of Massachusetts at Amherst Workshop on Polarity, Scalar Phenomena, and Implicatures. University of Milan-Bicocca June 18, 2003 1 The cast

More information

Proof techniques (section 2.1)

Proof techniques (section 2.1) CHAPTER 1 Proof techniques (section 2.1) What we have seen so far: 1.1. Theorems and Informal proofs Argument: P 1 P n Q Syntax: how it's written Semantic: meaning in a given interpretation Valid argument:

More information

Fox/Menendez-Benito 11/14/06. Wrapping up discussion on Kratzer 2005 (inconclusively!)

Fox/Menendez-Benito 11/14/06. Wrapping up discussion on Kratzer 2005 (inconclusively!) The plan: Wrapping up discussion on Kratzer 2005 (inconclusively!) -- Go back to Irene s objection briefly and present Angelika s reply. -- Discuss Emmanuel s example and Angelika s reply. -- A cursory

More information

The relation of surprisal and human processing

The relation of surprisal and human processing The relation of surprisal and human processing difficulty Information Theory Lecture Vera Demberg and Matt Crocker Information Theory Lecture, Universität des Saarlandes April 19th, 2015 Information theory

More information

Spatial language: Meaning, use, and lexical choice

Spatial language: Meaning, use, and lexical choice Spatial language: Meaning, use, and lexical choice Kristen Johannes (kjohann@wested.org) Science Technology Engineering and Mathematics Program, WestEd 300 Lakeside Dr., Oakland, CA 94612 USA Barbara Landau

More information

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Hidden Markov Models

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Hidden Markov Models INF4820: Algorithms for Artificial Intelligence and Natural Language Processing Hidden Markov Models Murhaf Fares & Stephan Oepen Language Technology Group (LTG) October 18, 2017 Recap: Probabilistic Language

More information

The Degree of Commitment to the Initial Analysis Predicts the Cost of Reanalysis: Evidence from Japanese Garden-Path Sentences

The Degree of Commitment to the Initial Analysis Predicts the Cost of Reanalysis: Evidence from Japanese Garden-Path Sentences P3-26 The Degree of Commitment to the Initial Analysis Predicts the Cost of Reanalysis: Evidence from Japanese Garden-Path Sentences Chie Nakamura, Manabu Arai Keio University, University of Tokyo, JSPS

More information

WEATHER. Systematic ELD Unit Over view. Kindergarten Intermediate. Unit Goal. Unit Wrap Up Give advice. Language. Language, 3. Unit Assessment.

WEATHER. Systematic ELD Unit Over view. Kindergarten Intermediate. Unit Goal. Unit Wrap Up Give advice. Language. Language, 3. Unit Assessment. Weather K INT Overview Assessment.indd 2 Systematic ELD Unit Over view HOW S THE WEATHER Systematic ELD Unit Unit Goal Week 1 Language Week 2 Week 3 Week 4 Week 5 Unit Wrap Up Give advice 1. 2. Language,

More information

Where linguistic meaning meets non-linguistic cognition

Where linguistic meaning meets non-linguistic cognition Where linguistic meaning meets non-linguistic cognition Tim Hunter and Paul Pietroski NASSLLI 2016 Friday: Putting things together (perhaps) Outline 5 Experiments with kids on most 6 So: How should we

More information

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Hidden Markov Models

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Hidden Markov Models INF4820: Algorithms for Artificial Intelligence and Natural Language Processing Hidden Markov Models Murhaf Fares & Stephan Oepen Language Technology Group (LTG) October 27, 2016 Recap: Probabilistic Language

More information

Focus in complex noun phrases

Focus in complex noun phrases Focus in complex noun phrases Summary In this paper I investigate the semantics of association with focus in complex noun phrases in the framework of Alternative Semantics (Rooth 1985, 1992). For the first

More information

Two kinds of long-distance indefinites Bernhard Schwarz The University of Texas at Austin

Two kinds of long-distance indefinites Bernhard Schwarz The University of Texas at Austin Amsterdam Colloquium 2001, December 17-19, 2001 Two kinds of long-distance indefinites Bernhard Schwarz The University of Texas at Austin 1. Introduction Indefinites can often be interpreted as if they

More information

Queens College, CUNY, Rutgers University

Queens College, CUNY, Rutgers University The Semantics of yue yue in Mandarin Chinese 1 1 2 Xiao Li and Carlos A. Fasola 2 Queens College, CUNY, Rutgers University In this paper, we argue that yue yue in Mandarin Chinese can mark two semantically

More information

Proseminar on Semantic Theory Fall 2010 Ling 720. The Basics of Plurals: Part 2 Distributivity and Indefinite Plurals

Proseminar on Semantic Theory Fall 2010 Ling 720. The Basics of Plurals: Part 2 Distributivity and Indefinite Plurals 1. Our Current Picture of Plurals The Basics of Plurals: Part 2 Distributivity and Indefinite Plurals At the conclusion of Part 1, we had built a semantics for plural NPs and DPs that had the following

More information

Relational Reasoning in Natural Language

Relational Reasoning in Natural Language 1/67 Relational Reasoning in Natural Language Larry Moss ESSLLI 10 Course on Logics for Natural Language Inference August, 2010 Adding transitive verbs the work on R, R, and other systems is joint with

More information

CAS LX 522 Syntax I. We give trees to ditransitives. We give trees to ditransitives. We give trees to ditransitives. Problems continue UTAH (4.3-4.

CAS LX 522 Syntax I. We give trees to ditransitives. We give trees to ditransitives. We give trees to ditransitives. Problems continue UTAH (4.3-4. 7 CAS LX 522 Syntax I UTAH (4.3-4.4) You may recall our discussion of θ-theory, where we triumphantly classified erbs as coming in (at least) three types: Intransitie (1 θ-role) Transitie (2 θ-roles) Ditransitie

More information

Spatial Role Labeling CS365 Course Project

Spatial Role Labeling CS365 Course Project Spatial Role Labeling CS365 Course Project Amit Kumar, akkumar@iitk.ac.in Chandra Sekhar, gchandra@iitk.ac.in Supervisor : Dr.Amitabha Mukerjee ABSTRACT In natural language processing one of the important

More information

Toward a Universal Underspecified Semantic Representation

Toward a Universal Underspecified Semantic Representation 5 Toward a Universal Underspecified Semantic Representation MEHDI HAFEZI MANSHADI, JAMES F. ALLEN, MARY SWIFT Abstract We define Canonical Form Minimal Recursion Semantics (CF-MRS) and prove that all the

More information

HPSG: Binding Theory

HPSG: Binding Theory HPSG: Binding Theory Doug Arnold doug@essexacuk Introduction Binding Theory is to do with the syntactic restrictions on the distribution of referentially dependent items and their antecedents: reflexives/reciprocals

More information

Description Logics. Deduction in Propositional Logic. franconi. Enrico Franconi

Description Logics. Deduction in Propositional Logic.   franconi. Enrico Franconi (1/20) Description Logics Deduction in Propositional Logic Enrico Franconi franconi@cs.man.ac.uk http://www.cs.man.ac.uk/ franconi Department of Computer Science, University of Manchester (2/20) Decision

More information

Grundlagenmodul Semantik All Exercises

Grundlagenmodul Semantik All Exercises Grundlagenmodul Semantik All Exercises Sommersemester 2014 Exercise 1 Are the following statements correct? Justify your answers in a single short sentence. 1. 11 {x x is a square number} 2. 11 {x {y y

More information

INTRODUCTION TO LOGIC. Propositional Logic. Examples of syntactic claims

INTRODUCTION TO LOGIC. Propositional Logic. Examples of syntactic claims Introduction INTRODUCTION TO LOGIC 2 Syntax and Semantics of Propositional Logic Volker Halbach In what follows I look at some formal languages that are much simpler than English and define validity of

More information

Model-Theory of Property Grammars with Features

Model-Theory of Property Grammars with Features Model-Theory of Property Grammars with Features Denys Duchier Thi-Bich-Hanh Dao firstname.lastname@univ-orleans.fr Yannick Parmentier Abstract In this paper, we present a model-theoretic description of

More information

Additional Test Scores. Test Scores Cross Test Scores Subscores Now let's look at what to do next: Areas of Strength

Additional Test Scores. Test Scores Cross Test Scores Subscores Now let's look at what to do next: Areas of Strength SAT Practice Test D This test scanned: September 22, 2016 Verbal 770 Your Progress 1600 100 Math 660 Total* 130 / 1600 130 1200 1000 910 990 1060 800 600 00 Test A 8//2016 Test B 8/13/2016 Test C 8/27/2016

More information

Suppose h maps number and variables to ɛ, and opening parenthesis to 0 and closing parenthesis

Suppose h maps number and variables to ɛ, and opening parenthesis to 0 and closing parenthesis 1 Introduction Parenthesis Matching Problem Describe the set of arithmetic expressions with correctly matched parenthesis. Arithmetic expressions with correctly matched parenthesis cannot be described

More information

An Upper Ontology of Event Classifications and Relations

An Upper Ontology of Event Classifications and Relations An Upper Ontology of Event Classifications and Relations Ken Kaneiwa and Michiaki Iwazume National Institute of Information and Communications Technology (NICT), Japan Ken Fukuda National Institute of

More information

Hedging Your Ifs and Vice Versa

Hedging Your Ifs and Vice Versa Hedging Your Ifs and Vice Versa Kai von Fintel and Anthony S. Gillies MIT and Rutgers November 21 University of Latvia Ramsey s Test If two people are arguing If p will q? and are both in doubt as to p,

More information

Two Reconstruction Puzzles Yael Sharvit University of Connecticut

Two Reconstruction Puzzles Yael Sharvit University of Connecticut Workshop on Direct Compositionality June 19-21, 2003 Brown University Two Reconstruction Puzzles Yael Sharvit University of Connecticut yael.sharvit@uconn.edu Some constructions exhibit what is known as

More information

More on Names and Predicates

More on Names and Predicates Lin115: Semantik I Maribel Romero 25. Nov / 2. Dez 2008 1. Lexicon: Predicates. More on Names and Predicates Predicates in NatLg denote functions (namely, schoenfinkelized characterisitc functions of sets):

More information

Quantifiers in Than-Clauses *

Quantifiers in Than-Clauses * Quantifiers in Than-Clauses * revised July 2009 Abstract The paper reexamines the interpretations that quantifiers in than-clauses give rise to. It develops an analysis that combines an interval semantics

More information

10/17/04. Today s Main Points

10/17/04. Today s Main Points Part-of-speech Tagging & Hidden Markov Model Intro Lecture #10 Introduction to Natural Language Processing CMPSCI 585, Fall 2004 University of Massachusetts Amherst Andrew McCallum Today s Main Points

More information

D2: For each type 1 quantifier Q, Q acc (R) = {a : Q(aR) = 1}.

D2: For each type 1 quantifier Q, Q acc (R) = {a : Q(aR) = 1}. Some Formal Properties of Higher Order Anaphors R. Zuber Laboratoire de Linguistique Formelle, CNRS and University Paris-Diderot Richard.Zuber@linguist.univ-paris-diderot.fr Abstract Formal properties

More information

The Semantics of Questions Introductory remarks

The Semantics of Questions Introductory remarks MIT, September-October 2012 1 1. Goals for this class The Semantics of Questions Introductory remarks (1) a. Which boy (among John, Bill and Fred) read the book? Uniqueness presupposition (UP): exactly

More information

X-bar theory. X-bar :

X-bar theory. X-bar : is one of the greatest contributions of generative school in the filed of knowledge system. Besides linguistics, computer science is greatly indebted to Chomsky to have propounded the theory of x-bar.

More information

THE DRAVIDIAN EXPERIENCER CONSTRUCTION AND THE ENGLISH SEEM CONSTRUCTION. K. A. Jayaseelan CIEFL, Hyderabad

THE DRAVIDIAN EXPERIENCER CONSTRUCTION AND THE ENGLISH SEEM CONSTRUCTION. K. A. Jayaseelan CIEFL, Hyderabad THE DRAVIDIAN EXPERIENCER CONSTRUCTION AND THE ENGLISH SEEM CONSTRUCTION K. A. Jayaseelan CIEFL, Hyderabad 1. Introduction In many languages e.g. Malayalam, Tamil, Hindi, the same verb is used in the Experiencer

More information

Quantifiers in Frame Semantics

Quantifiers in Frame Semantics Quantifiers in Frame Semantics Laura Kallmeyer Heinrich-Heine-Universität Düsseldorf Oberseminar Syntax and Semantics, Frankfurt, 11.5.2015 SFB 991 1 / 37 Table of contents 1 Introduction Motivation LTAG

More information

Semantic Treatment of Locative Prepositions

Semantic Treatment of Locative Prepositions Utrecht University Semantic Treatment of Locative Prepositions Author: Artuur Leeuwenberg First Supervisor Dr. Yoad Winter Second Supervisor Dr. Joost Zwarts A thesis submitted in partial fulfillment for

More information

Semantics and Generative Grammar. Quantificational DPs, Part 3: Covert Movement vs. Type Shifting 1

Semantics and Generative Grammar. Quantificational DPs, Part 3: Covert Movement vs. Type Shifting 1 Quantificational DPs, Part 3: Covert Movement vs. Type Shifting 1 1. Introduction Thus far, we ve considered two competing analyses of sentences like those in (1). (1) Sentences Where a Quantificational

More information

Empirical Methods in Natural Language Processing Lecture 11 Part-of-speech tagging and HMMs

Empirical Methods in Natural Language Processing Lecture 11 Part-of-speech tagging and HMMs Empirical Methods in Natural Language Processing Lecture 11 Part-of-speech tagging and HMMs (based on slides by Sharon Goldwater and Philipp Koehn) 21 February 2018 Nathan Schneider ENLP Lecture 11 21

More information

PLURAL PREDICATION AND QUANTIFIED THAN -CLAUSES *

PLURAL PREDICATION AND QUANTIFIED THAN -CLAUSES * PLURAL PREDICATION AND QUANTIFIED THAN -CLAUSES * SIGRID BECK University of Tübingen Abstract This paper uses the tools of plural predication to improve on existing analyses of quantifiers in than-clauses.

More information

Unterspezifikation in der Semantik Scope Semantics in Lexicalized Tree Adjoining Grammars

Unterspezifikation in der Semantik Scope Semantics in Lexicalized Tree Adjoining Grammars in der emantik cope emantics in Lexicalized Tree Adjoining Grammars Laura Heinrich-Heine-Universität Düsseldorf Wintersemester 2011/2012 LTAG: The Formalism (1) Tree Adjoining Grammars (TAG): Tree-rewriting

More information

Kripke on Frege on Sense and Reference. David Chalmers

Kripke on Frege on Sense and Reference. David Chalmers Kripke on Frege on Sense and Reference David Chalmers Kripke s Frege Kripke s Frege Theory of Sense and Reference: Some Exegetical Notes Focuses on Frege on the hierarchy of senses and on the senses of

More information

Generalized Quantifiers Logical and Linguistic Aspects

Generalized Quantifiers Logical and Linguistic Aspects Generalized Quantifiers Logical and Linguistic Aspects Lecture 1: Formal Semantics and Generalized Quantifiers Dag Westerståhl University of Gothenburg SELLC 2010 Institute for Logic and Cognition, Sun

More information

Logical Inquiries into a New Formal System with Plural Reference

Logical Inquiries into a New Formal System with Plural Reference Logical Inquiries into a New Formal System with Plural Reference Ran Lanzet lanzetr@netvision.net.il Philosophy Department, Tel Aviv University, Israel Hanoch Ben-Yami benyami@post.tau.ac.il Philosophy

More information

Wh-islands in degree questions: A semantic approach

Wh-islands in degree questions: A semantic approach Semantics & Pragmatics Volume 4, Article 5: 1 44, 2011 http://dx.doi.org/10.3765/sp.4.5 Wh-islands in degree questions: A semantic approach Márta Abrusán University of Oxford Received 2010-08-12 / Decision

More information

The Semantics of Reciprocal Expressions in Natural Language

The Semantics of Reciprocal Expressions in Natural Language The Semantics of Reciprocal Expressions in Natural Language Sivan Sabato The Semantics of Reciprocal Expressions in Natural Language Research Thesis Submitted in partial fulfillment of the requirements

More information

NATURAL LOGIC 报告人 : 徐超哲学系逻辑学逻辑前沿问题讨论班 / 56

NATURAL LOGIC 报告人 : 徐超哲学系逻辑学逻辑前沿问题讨论班 / 56 NATURAL LOGIC 报告人 : 徐超哲学系逻辑学逻辑前沿问题讨论班 2017.5.2 1 / 56 Background Extended Syllogistic Inference Logics with individual variables, RCA (opp) Inference with Monotonicity and Polarity Conclusion & Summary

More information

Quantifiers in than-clauses

Quantifiers in than-clauses Semantics & Pragmatics Volume 3, Article 1: 1 72, 2010 doi: 10.3765/sp.3.1 Quantifiers in than-clauses Sigrid Beck University of Tübingen Received 2009-01-13 / First Decision 2009-03-17 / Revised 2009-06-17

More information

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Language Models & Hidden Markov Models

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Language Models & Hidden Markov Models 1 University of Oslo : Department of Informatics INF4820: Algorithms for Artificial Intelligence and Natural Language Processing Language Models & Hidden Markov Models Stephan Oepen & Erik Velldal Language

More information

A S P E C T S O F H O M O G E N E I T Y I N T H E S E M A N T I C S O F N AT U R A L L A N G U A G E. manuel križ. Ph. D. Thesis University of Vienna

A S P E C T S O F H O M O G E N E I T Y I N T H E S E M A N T I C S O F N AT U R A L L A N G U A G E. manuel križ. Ph. D. Thesis University of Vienna A S P E C T S O F H O M O G E N E I T Y I N T H E S E M A N T I C S O F N AT U R A L L A N G U A G E manuel križ Ph. D. Thesis University of Vienna Manuel Križ: Aspects of Homogeneity in the Semantics

More information

READING Skill 1.2: Using figurative expressions...7. Skill 2.1: Identify explicit and implicit main ideas...9

READING Skill 1.2: Using figurative expressions...7. Skill 2.1: Identify explicit and implicit main ideas...9 T a b l e o f C o n t e n t s D O M A I N I READING... 1 C O M P E T E N C Y 1 Determine the meaning of words and phrases... 3 Skill 1.1: Use the context of a passage to determine the meaning of words

More information

1 Zimmermann, Formal Semantics

1 Zimmermann, Formal Semantics 1 Zimmermann, Formal Semantics 1. Compositionality 1.1Frege s Principle Any decent language, whether natural or artificial, contains more than just finitely many expressions. In order to learn and understand

More information

S NP VP 0.9 S VP 0.1 VP V NP 0.5 VP V 0.1 VP V PP 0.1 NP NP NP 0.1 NP NP PP 0.2 NP N 0.7 PP P NP 1.0 VP NP PP 1.0. N people 0.

S NP VP 0.9 S VP 0.1 VP V NP 0.5 VP V 0.1 VP V PP 0.1 NP NP NP 0.1 NP NP PP 0.2 NP N 0.7 PP P NP 1.0 VP  NP PP 1.0. N people 0. /6/7 CS 6/CS: Natural Language Processing Instructor: Prof. Lu Wang College of Computer and Information Science Northeastern University Webpage: www.ccs.neu.edu/home/luwang The grammar: Binary, no epsilons,.9..5

More information

The semantics of yuè V yuè A in Mandarin Chinese: Coercion and the necessarily temporal reading

The semantics of yuè V yuè A in Mandarin Chinese: Coercion and the necessarily temporal reading Proceedings of CLS 51 (2015), 381-395 c Chicago Linguistic Society 2016. All rights reserved. 381 The semantics of yuè V yuè A in Mandarin Chinese: Coercion and the necessarily temporal reading Xiao Li

More information

Cognitive foundations of measuring and counting and their reflection in determiner systems

Cognitive foundations of measuring and counting and their reflection in determiner systems Cognitive foundations of measuring and counting and their reflection in determiner systems Mass and Count in Romance and Germanic Languages December 16-17, 2013 Universität Zürich Manfred Krifka krifka@rz.hu-berlin.de

More information

Section 2.1: Introduction to the Logic of Quantified Statements

Section 2.1: Introduction to the Logic of Quantified Statements Section 2.1: Introduction to the Logic of Quantified Statements In the previous chapter, we studied a branch of logic called propositional logic or propositional calculus. Loosely speaking, propositional

More information

THE LOGIC OF QUANTIFIED STATEMENTS. Predicates and Quantified Statements I. Predicates and Quantified Statements I CHAPTER 3 SECTION 3.

THE LOGIC OF QUANTIFIED STATEMENTS. Predicates and Quantified Statements I. Predicates and Quantified Statements I CHAPTER 3 SECTION 3. CHAPTER 3 THE LOGIC OF QUANTIFIED STATEMENTS SECTION 3.1 Predicates and Quantified Statements I Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. Predicates

More information

Part of Speech Tagging: Viterbi, Forward, Backward, Forward- Backward, Baum-Welch. COMP-599 Oct 1, 2015

Part of Speech Tagging: Viterbi, Forward, Backward, Forward- Backward, Baum-Welch. COMP-599 Oct 1, 2015 Part of Speech Tagging: Viterbi, Forward, Backward, Forward- Backward, Baum-Welch COMP-599 Oct 1, 2015 Announcements Research skills workshop today 3pm-4:30pm Schulich Library room 313 Start thinking about

More information

Logic Background (1A) Young W. Lim 12/14/15

Logic Background (1A) Young W. Lim 12/14/15 Young W. Lim 12/14/15 Copyright (c) 2014-2015 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any

More information

An inquisitive approach to occasion-sensitivity

An inquisitive approach to occasion-sensitivity An inquisitive approach to occasion-sensitivity Tamara Dobler ILLC November 6, 2017 Tamara Dobler (ILLC) An inquisitive approach to occasion-sensitivity November 6, 2017 1 / 37 Outline 1 Introduction 2

More information

Why Learning Logic? Logic. Propositional Logic. Compound Propositions

Why Learning Logic? Logic. Propositional Logic. Compound Propositions Logic Objectives Propositions and compound propositions Negation, conjunction, disjunction, and exclusive or Implication and biconditional Logic equivalence and satisfiability Application of propositional

More information