Syntactic Features in Morphology: General Problems of So-Called Pronominal Inflection in German
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When Linearity Prevails Over Hierarchy in Syntax
When linearity prevails over hierarchy in syntax Jana Willer Golda, Boban Arsenijevic´b, Mia Batinic´c, Michael Beckerd, Nermina Cordalijaˇ e, Marijana Kresic´c, Nedzadˇ Lekoe, Franc Lanko Marusiˇ cˇf, Tanja Milicev´ g, Natasaˇ Milicevi´ c´g, Ivana Mitic´b, Anita Peti-Stantic´h, Branimir Stankovic´b, Tina Suligojˇ f, Jelena Tusekˇ h, and Andrew Nevinsa,1 aDivision of Psychology and Language Sciences, University College London, London WC1N 1PF, United Kingdom; bDepartment for Serbian language, Faculty of Philosophy, University of Nis,ˇ Nisˇ 18000, Serbia; cDepartment of Linguistics, University of Zadar, Zadar 23000, Croatia; dDepartment of Linguistics, Stony Brook University, Stony Brook, NY 11794-4376; eDepartment of English, Faculty of Philosophy, University of Sarajevo, Sarajevo 71000, Bosnia and Herzegovina; fCenter for Cognitive Science of Language, University of Nova Gorica, Nova Gorica 5000, Slovenia; gDepartment of English Studies, Faculty of Philosophy, University of Novi Sad, Novi Sad 21000, Serbia; hDepartment of South Slavic languages and literatures, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb 10000, Croatia Edited by Barbara H. Partee, University of Massachusetts at Amherst, Amherst, MA, and approved November 27, 2017 (received for review July 21, 2017) Hierarchical structure has been cherished as a grammatical univer- show cases of agreement based on linear order, called “attrac- sal. We use experimental methods to show where linear order is tion,” with the plural complement of noun phrases (e.g., the key also a relevant syntactic relation. An identical methodology and to the cabinets are missing), a set of findings later replicated in design were used across six research sites on South Slavic lan- comprehension and across a variety of other languages and con- guages. -
Pronouns and Prosody in Irish&Sast;
PRONOUNS AND PROSODY IN IRISH* RYAN BENNETT Yale University EMILY ELFNER University of British Columbia JAMES MCCLOSKEY University of California, Santa Cruz 1. BACKGROUND One of the stranger properties of human language is the way in which it creates a bridge between two worlds which ought not be linked, and which seem not to be linked in any other species—a bridge linking the world of concepts, ideas and propositions with the world of muscular gestures whose outputs are perceivable. Because this link is made in us we can do what no other creature can do: we can externalize our internal and subjective mental states in ways that expose them to scrutiny by others and by ourselves. The existence of this bridge depends in turn on a system or systems which can take the complex structures used in cognition (hierarchical and recursive) and translate them step by step into the kinds of representations that our motor system knows how to deal with. In the largest sense, our goal in the research reported on here is to help better understand those systems and in particular the processes of serialization and flattening that make it possible to span the divide between the two worlds. In doing this, we study something which is of central importance to the question of what language is and how it might have emerged in our species. Establishing sequential order is, obviously, a key part of the process of serialization. And given the overall perspective just suggested, it is *Four of the examples cited in this paper (examples (35), (38a), (38b), and (38c)) have sound-files associated with them. -
Cohesion, Coherence and Temporal Reference from an Experimental Corpus Pragmatics Perspective Yearbook of Corpus Linguistics and Pragmatics
Yearbook of Corpus Linguistics and Pragmatics Cristina Grisot Cohesion, Coherence and Temporal Reference from an Experimental Corpus Pragmatics Perspective Yearbook of Corpus Linguistics and Pragmatics Editor-in-Chief Jesús Romero-Trillo, Universidad Autónoma de Madrid, Spain Reviews Editor Dawn Knight, Cardiff University, Cardiff, UK Advisory Editorial Board Karin Aijmer, University of Gothenburg, Sweden Belén Díez-Bedmar, Universidad de Jaén, Spain Ronald Geluykens, University of Oldenburg, Germany Anna Gladkova, University of Sussex and University of Brighton, UK Stefan Gries: University of California, Santa Barbara, USA Leo Francis Hoye, University of Hong Kong, China Jingyang Jiang, Zhejiang University, China Anne O’Keefe, Mary Immaculate College, Limerick, Ireland Silvia Riesco-Bernier, Universidad Autónoma de Madrid, Spain Anne-Marie Simon-Vandenbergen, University of Ghent, Belgium Esther Vázquez y del Árbol, Universidad Autónoma de Madrid, Spain Anne Wichmann, University of Central Lancashire, UK More information about this series at http://www.springer.com/series/11559 Cristina Grisot Cohesion, Coherence and Temporal Reference from an Experimental Corpus Pragmatics Perspective Cristina Grisot Department of Linguistics University of Geneva Geneva 4, Switzerland Published with the support of the Swiss National Science Foundation ISSN 2213-6819 ISSN 2213-6827 (electronic) Yearbook of Corpus Linguistics and Pragmatics ISBN 978-3-319-96751-6 ISBN 978-3-319-96752-3 (eBook) https://doi.org/10.1007/978-3-319-96752-3 Library of Congress -
Graph-Based Syntactic Word Embeddings
Graph-based Syntactic Word Embeddings Ragheb Al-Ghezi Mikko Kurimo Aalto University Aalto University [email protected] [email protected] Abstract We propose a simple and efficient framework to learn syntactic embeddings based on information derived from constituency parse trees. Using biased random walk methods, our embeddings not only encode syntactic information about words, but they also capture contextual information. We also propose a method to train the embeddings on multiple constituency parse trees to ensure the encoding of global syntactic representation. Quantitative evaluation of the embeddings shows competitive performance on POS tagging task when compared to other types of embeddings, and qualitative evaluation reveals interesting facts about the syntactic typology learned by these embeddings. 1 Introduction Distributional similarity methods have been the standard learning representation in NLP. Word represen- tations methods such as Word2vec, GloVe, and FastText [1, 2, 3] aim to create vector representation to words from other words or characters that mutually appear in the same context. The underlying premise is that ”a word can be defined by its company” [4]. For example, in the sentences, ”I eat an apple every day” and ”I eat an orange every day”, the words ’orange’ and ’apple’ are similar as they share similar contexts. Recent approaches have proposed a syntax-based extension to distributional word embeddings to in- clude functional similarity in the word vectors by leveraging the power of dependency parsing[5] [6]. Syntactic word embeddings have been shown to be advantageous in specific NLP tasks such as ques- tion type classification[7], semantic role labeling[8], part-of-speech tagging[6], biomedical event trigger identification[9], and predicting brain activation patterns [10]. -
LINGUISTICS 221 Lecture #3 DISTINCTIVE FEATURES Part 1. an Utterance Is Composed of a Sequence of Discrete Segments. Is the Segm
LINGUISTICS 221 Lecture #3 DISTINCTIVE FEATURES Part 1. An utterance is composed of a sequence of discrete segments. Is the segment indivisible? Is the segment the smallest unit of phonological analysis? If it is, segments ought to differ randomly from one another. Yet this is not true: pt k prs What is the relationship between members of the two groups? p t k - the members of this set have an internal relationship: they are all voiceles stops. p r s - no such relationship exists p b d s bilabial bilabial alveolar alveolar stop stop stop fricative voiceless voiced voiced voiceless SIMILARITIES AND DIFFERENCES! Segments may be viewed as composed of sets of properties rather than indivisible entities. We can show the relationship by listing the properties of each segment. DISTINCTIVE FEATURES • enable us to describe the segments in the world’s languages: all segments in any language can be characterized in some unique combination of features • identifies groups of segments → natural segment classes: they play a role in phonological processes and constraints • distinctive features must be referred to in terms of phonetic -- articulatory or acoustic -- characteristics. 1 Requirements on distinctive feature systems (p. 66): • they must be capable of characterizing natural segment classes • they must be capable of describing all segmental contrasts in all languages • they should be definable in phonetic terms The features fulfill three functions: a. They are capable of describing the segment: a phonetic function b. They serve to differentiate lexical items: a phonological function c. They define natural segment classes: i.e. those segments which as a group undergo similar phonological processes. -
The Non-Hierarchical Nature of the Chomsky Hierarchy-Driven Artificial-Grammar Learning
The Non-Hierarchical Nature of the Chomsky Hierarchy-Driven Artificial-Grammar Learning Shiro Ojima & Kazuo Okanoya Recent artificial-grammar learning (AGL) paradigms driven by the Choms- ky hierarchy paved the way for direct comparisons between humans and animals in the learning of center embedding ([A[AB]B]). The AnBn grammars used by the first generation of such research lacked a crucial property of center embedding, where the pairs of elements are explicitly matched ([A1 [A2 B2] B1]). This type of indexing is implemented in the second-generation AnBn grammars. This paper reviews recent studies using such grammars. Against the premises of these studies, we argue that even those newer AnBn grammars cannot test the learning of syntactic hierarchy. These studies nonetheless provide detailed information about the conditions under which human adults can learn an AnBn grammar with indexing. This knowledge serves to interpret recent animal studies, which make surprising claims about animals’ ability to handle center embedding. Keywords: language evolution; animal cognition; syntactic hierarchy; arti- ficial grammar; center embedding 1. Center Embedding and AnBn Grammars One of the properties that make humans unique among animals is language, which has several components including phonology, lexicon, and syntax. It has been debated how much of each of these components is shared between humans and non-human animals (Markman & Abelev 2004, Yip 2006). The component of syntax, which has been receiving much attention in the field of comparative cognition, instantiates linguistic knowledge describable in terms of a finite set of rules. That set of rules is called a grammar. Fitch & Hauser’s (2004) seminal work tried to test which type of grammar non-human primates can learn. -
Functional Categories and Syntactic Theory 141 LI02CH08-Rizzi ARI 5 December 2015 12:12
LI02CH08-Rizzi ARI 5 December 2015 12:12 ANNUAL REVIEWS Further Click here to view this article's online features: • Download figures as PPT slides • Navigate linked references • Download citations Functional Categories • Explore related articles • Search keywords and Syntactic Theory Luigi Rizzi1,2 and Guglielmo Cinque3 1Departement´ de Linguistique, UniversitedeGen´ eve,` CH-1211 Geneve,` Switzerland 2Centro Interdipartimentale di Studi Cognitivi sul Linguaggio–Dipartimento di Scienze Sociali, Politiche e Cognitive (CISCL-DISPOC), Universita` di Siena, Siena 53100, Italy 3Dipartimento di Studi Linguistici, Ca’ Foscari University, Venice 30123, Italy Annu. Rev. Linguist. 2016. 2:139–63 Keywords The Annual Review of Linguistics is online at functional heads, Universal Grammar, syntactic variation, cartography, linguist.annualreviews.org lexicon This article’s doi: by Mr. Guglielmo Cinque on 01/27/16. For personal use only. 10.1146/annurev-linguistics-011415-040827 Abstract Copyright c 2016 by Annual Reviews. The distinction between lexical and functional elements plays a major role in All rights reserved Annu. Rev. Linguist. 2016.2:139-163. Downloaded from www.annualreviews.org current research in syntax and neighboring aspects of the study of language. In this article, we review the motivations of a progressive shift of emphasis from lexical to functional elements in syntactic research: the identification of the functional lexicon as the locus of the triggering of syntactic actions and of syntactic variation, and the description and analysis of the complexity of functional structures in cartographic studies. The latter point leads us to illustrate current cartographic research and to present the maps created in the study of clauses and phrases. The maps of CP, IP, and other phrasal categories all involve a richly articulated functional sequence. -
Arxiv:2106.08037V1 [Cs.CL] 15 Jun 2021 Alternative Ways the World Could Be
The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing Valentina Pyatkin∗ Shoval Sadde∗ Aynat Rubinstein Bar Ilan University Bar Ilan University Hebrew University of Jerusalem [email protected] [email protected] [email protected] Paul Portner Reut Tsarfaty Georgetown University Bar Ilan University [email protected] [email protected] Abstract (1) a. We presented a paper at ACL’19. Modality is the linguistic ability to describe b. We did not present a paper at ACL’20. events with added information such as how de- sirable, plausible, or feasible they are. Modal- The propositional content p =“present a paper at ity is important for many NLP downstream ACL’X” can be easily verified for sentences (1a)- tasks such as the detection of hedging, uncer- (1b) by looking up the proceedings of the confer- tainty, speculation, and more. Previous studies ence to (dis)prove the existence of the relevant pub- that address modality detection in NLP often p restrict modal expressions to a closed syntac- lication. The same proposition is still referred to tic class, and the modal sense labels are vastly in sentences (2a)–(2d), but now in each one, p is different across different studies, lacking an ac- described from a different perspective: cepted standard. Furthermore, these senses are often analyzed independently of the events that (2) a. We aim to present a paper at ACL’21. they modify. This work builds on the theoreti- b. We want to present a paper at ACL’21. cal foundations of the Georgetown Gradable Modal Expressions (GME) work by Rubin- c. -
Serial Verb Constructions Revisited: a Case Study from Koro
Serial Verb Constructions Revisited: A Case Study from Koro By Jessica Cleary-Kemp A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Linguistics in the Graduate Division of the University of California, Berkeley Committee in charge: Associate Professor Lev D. Michael, Chair Assistant Professor Peter S. Jenks Professor William F. Hanks Summer 2015 © Copyright by Jessica Cleary-Kemp All Rights Reserved Abstract Serial Verb Constructions Revisited: A Case Study from Koro by Jessica Cleary-Kemp Doctor of Philosophy in Linguistics University of California, Berkeley Associate Professor Lev D. Michael, Chair In this dissertation a methodology for identifying and analyzing serial verb constructions (SVCs) is developed, and its application is exemplified through an analysis of SVCs in Koro, an Oceanic language of Papua New Guinea. SVCs involve two main verbs that form a single predicate and share at least one of their arguments. In addition, they have shared values for tense, aspect, and mood, and they denote a single event. The unique syntactic and semantic properties of SVCs present a number of theoretical challenges, and thus they have invited great interest from syntacticians and typologists alike. But characterizing the nature of SVCs and making generalizations about the typology of serializing languages has proven difficult. There is still debate about both the surface properties of SVCs and their underlying syntactic structure. The current work addresses some of these issues by approaching serialization from two angles: the typological and the language-specific. On the typological front, it refines the definition of ‘SVC’ and develops a principled set of cross-linguistically applicable diagnostics. -
The Syntax of Answers to Negative Yes/No-Questions in English Anders Holmberg Newcastle University
The syntax of answers to negative yes/no-questions in English Anders Holmberg Newcastle University 1. Introduction This paper will argue that answers to polar questions or yes/no-questions (YNQs) in English are elliptical expressions with basically the structure (1), where IP is identical to the LF of the IP of the question, containing a polarity variable with two possible values, affirmative or negative, which is assigned a value by the focused polarity expression. (1) yes/no Foc [IP ...x... ] The crucial data come from answers to negative questions. English turns out to have a fairly complicated system, with variation depending on which negation is used. The meaning of the answer yes in (2) is straightforward, affirming that John is coming. (2) Q(uestion): Isn’t John coming, too? A(nswer): Yes. (‘John is coming.’) In (3) (for speakers who accept this question as well formed), 1 the meaning of yes alone is indeterminate, and it is therefore not a felicitous answer in this context. The longer version is fine, affirming that John is coming. (3) Q: Isn’t John coming, either? A: a. #Yes. b. Yes, he is. In (4), there is variation regarding the interpretation of yes. Depending on the context it can be a confirmation of the negation in the question, meaning ‘John is not coming’. In other contexts it will be an infelicitous answer, as in (3). (4) Q: Is John not coming? A: a. Yes. (‘John is not coming.’) b. #Yes. In all three cases the (bare) answer no is unambiguous, meaning that John is not coming. -
Cognitive Connections Between Linguistic and Musical Syntax
COGNITIVE CONNECTIONS BETWEEN LINGUISTIC AND MUSICAL SYNTAX AN OPTIMALITY THEORETIC APPROACH by LAURA BREWER (Under the Direction of Keith Langston) ABSTRACT Language and music share empirically validated syntactic similarities that suggest these modalities may have important cognitive connections. These findings challenge the current view of the human language faculty as encapsulated from other cognitive domains. Patel (2008) emphasizes the distinction between the representational knowledge base of a domain (competence) and the syntactic processes that are employed during access and integration of this knowledge, proposing that the processing resources are shared between the two domains while the knowledge bases remain separate. I propose that the shared processing resources for linguistic and musical syntax are characterized predominantly by the constraint evaluation and optimization mechanisms of Optimality Theory. The goal of this endeavor will be to explore the OT character of musical syntax in support of the claim that a unified theory can reflect cognitive overlap in the language and music modalities and to encourage future refinement of this theoretical framework. INDEX WORDS: Optimality Theory (OT), syntax, Western tonal music. modularity, weighted constraint, Generative Theory of Tonal Music (GTTM), competence, performance, processing COGNITIVE CONNECTIONS BETWEEN LINGUISTIC AND MUSICAL SYNTAX AN OPTIMALITY THEORETIC APPROACH by LAURA BREWER B.A., The University of Georgia, 2007 A Thesis Submitted to the Graduate Faculty of The University of Georgia in Partial Fulfillment of the Requirements for the Degree MASTER OF ARTS ATHENS, GA 2014 © 2014 Laura Brewer All Rights Reserved COGNITIVE CONNECTIONS BETWEEN LINGUISTIC AND MUSICAL SYNTAX AN OPTIMALITY THEORETIC APPROACH by LAURA BREWER Major Professor: Keith Langston Committee: Jonathan Evans Jared Klein Electronic Version Approved: Julie Coffield Interim Dean of the Graduate School The University of Georgia December 2014 ACKNOWLEDGEMENTS I am extremely grateful to my committee, Dr. -
Staged Approach for Grammatical Gender Identification of Nouns Using Association Rule
Staged Approach for Grammatical Gender Identification of Nouns using Association Rule Mining and Classification Shilpa Desai1, Jyoti Pawar1, and Pushpak Bhattacharyya2 1 Department of Computer Science and Technology Goa University, Goa - India [email protected], [email protected] 2 Department of Computer Science and Engineering IIT-Bombay, Mumbai - India [email protected] Abstract. In some languages, gender is a grammatical property of the noun. Grammatical gender identification enhances machine translation of such languages. This paper reports a three staged approach for gram- matical gender identification that makes use of word and morphological features only. A Morphological Analyzer is used to extract the morpho- logical features. In stage one, association rule mining is used to obtain grammatical gender identification rules. Classification is used at the sec- ond stage to identify grammatical gender for nouns that are not covered by grammatical gender identification rules obtained in stage one. The third stage combines the results of the two stages to identify the gender. The staged approach has a better precision, recall and F-score compared to machine learning classifiers used on complete data set. The approach was tested on Konkani nouns extracted from the Konkani WordNet and an F-Score 0.84 was obtained. 1 Introduction Gender is a grammatical property of nouns in many languages3 including Indian language such as Sanskrit, Hindi, Gujarati, Marathi and Konkani. In such lan- guages adjectives and verbs in a sentence agree with the gender of the noun. For example translation of \He is a good boy" and \She is a good girl" in Hindi is \vaha eka achchhaa laDakaa haai 4" and "vaha eka achchhii laDakii haai", respectively.