Introducing Semantics Semantics Is the Study of Meaning in Language
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The Generative Lexicon
The Generative Lexicon James Pustejovsky" Computer Science Department Brandeis University In this paper, I will discuss four major topics relating to current research in lexical seman- tics: methodology, descriptive coverage, adequacy of the representation, and the computational usefulness of representations. In addressing these issues, I will discuss what I think are some of the central problems facing the lexical semantics community, and suggest ways of best ap- proaching these issues. Then, I will provide a method for the decomposition of lexical categories and outline a theory of lexical semantics embodying a notion of cocompositionality and type coercion, as well as several levels of semantic description, where the semantic load is spread more evenly throughout the lexicon. I argue that lexical decomposition is possible if it is per- formed generatively. Rather than assuming a fixed set of primitives, I will assume a fixed number of generative devices that can be seen as constructing semantic expressions. I develop a theory of Qualia Structure, a representation language for lexical items, which renders much lexical ambiguity in the lexicon unnecessary, while still explaining the systematic polysemy that words carry. Finally, I discuss how individual lexical structures can be integrated into the larger lexical knowledge base through a theory of lexical inheritance. This provides us with the necessary principles of global organization for the lexicon, enabling us to fully integrate our natural language lexicon into a conceptual whole. 1. Introduction I believe we have reached an interesting turning point in research, where linguistic studies can be informed by computational tools for lexicology as well as an appre- ciation of the computational complexity of large lexical databases. -
1. Introduction
University of Groningen Specific language impairment in Dutch de Jong, Jan IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 1999 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): de Jong, J. (1999). Specific language impairment in Dutch: inflectional morphology and argument structure. s.n. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 25-09-2021 Specific Language Impairment in Dutch: Inflectional Morphology and Argument Structure Jan de Jong Copyright ©1999 by Jan de Jong Printed by Print Partners Ipskamp, Enschede Groningen Dissertations in Linguistics 28 ISSN 0928-0030 Specific Language Impairment in Dutch: Inflectional Morphology and Argument Structure Proefschrift ter verkrijging van het doctoraat in de letteren aan de Rijksuniversiteit Groningen op gezag van de Rector Magnificus, dr. -
Language and Definitions
This asset is intentionally omitted from this text. It may be accessed at Language and Definitions www.mcescher.com. (Waterfall by 1 Language Functions M.C. Escher) 2 Emotive Language, Neutral Language, and Disputes 3 Disputes and Ambiguity 4 Definitions and Their Uses 5 The Structure of Definitions: Extension and Intension 6 Definition by Genus and Difference 1 Language Functions When people reason, they typically do so using language, manipulating proposi- tions in a logical or informative spirit. But language is used in a great variety of ways, only some of which are informative. Without the intention to inform, we may express ourselves using language: “That’s really great!” we may say; and the poet, overcome by the beauty of an ancient city, channels his emotions in writing these lines: Match me such marvel, save in Eastern clime— A rose-red city—“half as old as time.”1 Of course, some expressive discourse also has informative content, and may express attitudes as well as beliefs. Grow old along with me! The best is yet to be, The last of life for which the first was made.2 Moreover, some discourse is directive, with or without expressive or informa- tive elements. It seeks to guide or to command. “Step on the scale, please,” we may be told, or we may receive this good advice: Drive defensively. The cemetery is full of law-abiding citizens who had the right of way. A mixture of functions is a natural feature of almost all our uses of language. We can see this in our own speech and writing. -
CS460/626 : Natural Language Processing/Speech, NLP and the Web
CS460/626 : Natural Language Processing/Speech, NLP and the Web Lecture 24, 25, 26 Wordnet Pushpak Bhattacharyya CSE Dept., IIT Bombay 17th and 19th (morning and night), 2013 NLP Trinity Problem Semantics NLP Trinity Parsing Part of Speech Tagging Morph Analysis Marathi French HMM Hindi English Language CRF MEMM Algorithm NLP Layer Discourse and Corefernce Increased Semantics Extraction Complexity Of Processing Parsing Chunking POS tagging Morphology Background Classification of Words Word Content Function Word Word Verb Noun Adjective Adverb Prepo Conjun Pronoun Interjection sition ction NLP: Thy Name is Disambiguation A word can have multiple meanings and A meaning can have multiple words Word with multiple meanings Where there is a will, Where there is a will, There are hundreds of relatives Where there is a will There is a way There are hundreds of relatives A meaning can have multiple words Proverb “A cheat never prospers” Proverb: “A cheat never prospers but can get rich faster” WSD should be distinguished from structural ambiguity Correct groupings a must … Iran quake kills 87, 400 injured When it rains cats and dogs run for cover Should be distinguished from structural ambiguity Correct groupings a must … Iran quake kills 87, 400 injured When it rains, cats and dogs runs for cover When it rains cats and dogs, run for cover Groups of words (Multiwords) and names can be ambiguous Broken guitar for sale, no strings attached (Pun) Washington voted Washington to power pujaa ne pujaa ke liye phul todaa (Pujaa plucked -
Introduction to Wordnet: an On-Line Lexical Database
Introduction to WordNet: An On-line Lexical Database George A. Miller, Richard Beckwith, Christiane Fellbaum, Derek Gross, and Katherine Miller (Revised August 1993) WordNet is an on-line lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, and adjectives are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets. Standard alphabetical procedures for organizing lexical information put together words that are spelled alike and scatter words with similar or related meanings haphazardly through the list. Unfortunately, there is no obvious alternative, no other simple way for lexicographers to keep track of what has been done or for readers to ®nd the word they are looking for. But a frequent objection to this solution is that ®nding things on an alphabetical list can be tedious and time-consuming. Many people who would like to refer to a dictionary decide not to bother with it because ®nding the information would interrupt their work and break their train of thought. In this age of computers, however, there is an answer to that complaint. One obvious reason to resort to on-line dictionariesÐlexical databases that can be read by computersÐis that computers can search such alphabetical lists much faster than people can. A dictionary entry can be available as soon as the target word is selected or typed into the keyboard. Moreover, since dictionaries are printed from tapes that are read by computers, it is a relatively simple matter to convert those tapes into the appropriate kind of lexical database. -
Leveraging Morpho-Semantics for the Discovery of Relations in Chinese Wordnet
Leveraging Morpho-semantics for the Discovery of Relations in Chinese Wordnet Shu-Kai Hsieh Yu-Yun Chang Graduate Institute of Linguistics Graduate Institute of Linguistics National Taiwan University National Taiwan University Taipei, Taiwan Taipei, Taiwan [email protected] [email protected] Abstract data from the web (Cimiano et al., 2005), Semantic relations of different types have but runs the risk of influenced by the web played an important role in wordnet, and have genre (Alain, 2010). been widely recognized in various fields. In re- To enrich the relations coverage in Chinese cent years, with the growing interests of con- structing semantic network in support of in- Wordnet (CWN), in this paper, we propose telligent systems, automatic semantic relation an in situ approach by exploiting the morph- discovery has become an urgent task. This semantic information. This method, simple paper aims to extract semantic relations re- lying on the in situ morpho-semantic struc- and straightforward as it seems, does not incur ture in Chinese which can dispense of an the difficulties associated with lexical gaps in outside source such as corpus or web data. cross-language mapping that any translation- Manual evaluation of thousands of word pairs shows that most relations can be successful based model would encounter; and it is also predicted. We believe that it can serve as a economic and complementary with previous valuable starting point in complementing with approaches in that we can dispense of an out- other approaches, which will hold promise for the robust lexical relations acquisition. side corpus resource. In what follows, Section 2 gives a brief sum- 1 Introduction mary of lexical semantic relations acquisition Semantic relations are at the core of WordNet- from two perspectives. -
Automatic Labeling of Troponymy for Chinese Verbs
Automatic labeling of troponymy for Chinese verbs 羅巧Ê Chiao-Shan Lo*+ s!蓉 Yi-Rung Chen+ [email protected] [email protected] 林芝Q Chih-Yu Lin+ 謝舒ñ Shu-Kai Hsieh*+ [email protected] [email protected] *Lab of Linguistic Ontology, Language Processing and e-Humanities, +Graduate School of English/Linguistics, National Taiwan Normal University Abstract 以同©^Æ與^Y語意關¶Ë而成的^Y知X«,如ñ語^² (Wordnet)、P語^ ² (EuroWordnet)I,已有E分的研v,^²的úË_已øv完善。ú¼ø同的目的,- 研b語言@¦已úË'規!K-文^Y²路 (Chinese Wordnet,CWN),è(Ð供完t的 -文YK^©@分。6而,(目MK-文^Y²路ûq-,1¼目M;要/¡(ºº$ 定來標記同©^ÆK間的語意關Â,因d這些標記KxÏ尚*T成可L應(K一定規!。 因d,,Ç文章y%針對動^K間的上下M^Y語意關 (Troponymy),Ðú一.ê動標 記的¹法。我們希望藉1句法上y定的句型 (lexical syntactic pattern),úË一個能 ê 動½取ú動^上下M的ûq。透N^©意$定原G的U0,P果o:,dûqê動½取ú 的動^上M^,cº率將近~分K七A。,研v盼能將,¹法應(¼c(|U-的-文^ ²ê動語意關Â標記,以Ê知X,體Kê動úË,2而能有H率的úË完善的-文^Y知 XÇ源。 關關關uuu^^^:-文^Y²路、語©關Âê動標記、動^^Y語© Abstract Synset and semantic relation based lexical knowledge base such as wordnet, have been well-studied and constructed in English and other European languages (EuroWordnet). The Chinese wordnet (CWN) has been launched by Academia Sinica basing on the similar paradigm. The synset that each word sense locates in CWN are manually labeled, how- ever, the lexical semantic relations among synsets are not fully constructed yet. In this present paper, we try to propose a lexical pattern-based algorithm which can automatically discover the semantic relations among verbs, especially the troponymy relation. There are many ways that the structure of a language can indicate the meaning of lexical items. For Chinese verbs, we identify two sets of lexical syntactic patterns denoting the concept of hypernymy-troponymy relation. -
An Introduction to Lexical Semantics for Students of Translation
IMOLA KATALIN NAGY AN INTRODUCTION TO LEXICAL SEMANTICS FOR STUDENTS OF TRANSLATION STUDIES SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA FACULTY OF TECHNICAL AND HUMAN SCIENCES, TÂRGU-MUREŞ DEPARTMENT OF APPLIED LINGUISTICS IMOLA KATALIN NAGY AN INTRODUCTION TO LEXICAL SEMANTICS FOR STUDENTS OF TRANSLATION STUDIES SCIENTIA Publishing House Cluj-Napoca · 2017 The book was published with the support of: Publisher-in-chief: Zoltán Kása Readers: Andrea Peterlicean (Târgu-Mureş) Judit Szabóné Papp (Miskolc) The author takes all the professional responsibility for the present volume. Series cover: Dénes Miklósi First English edition: 2017 © Scientia, 2017 All rights reserved, including the rights for photocopying, public lecturing, radio and television broadcast, and translation of the whole work and of chapters as well. Descrierea CIP a Bibliotecii Naţionale a României IMOLA, KATALIN NAGY An introduction to lexical semantics for students of translation studies / Imola Katalin Nagy. - Cluj-Napoca : Scientia, 2017 ISBN 978-606-975-003-2 81 CONTENTS Preface . 11 1. Introduction . 13 2. History of semantics . 31 3. Defining semantics. Defining meaning . 39 4. Approaches to meaning . 53 5. Semantic relations . 73 6. Semantic roles . 105 7. Theories of meaning . 109 8. Types of meaning . 131 9. Changes of meaning . 161 10. Semantics and translation . 183 Bibliography . 203 Rezumat: Introducere în semantica lexicală pentru studenţii de la traductologie . 207 Kivonat: Bevezetés a jelentéstanba fordító szakos hallgatók számára . 209 About the author . 211 TARTALOMJEGYZÉK Előszó . 11 1. Bevezető . 13 2. A szemantika története . 31 3. A jelentéstan és a jelentés meghatározása . 39 4. A jelentés fogalmának értelmezései . 53 5. Szemantikai viszonyok . 73 6. Szemantikai szerepek . 105 7. -
Part 4: Lexical Semantics 2
Natural Language Processing Part 4: lexical semantics 2 Marco Maggini Tecnologie per l'elaborazione del linguaggio Lexical semantics • A lexicon generally has a highly structured form ▫ It stores the meanings and uses of each word ▫ It encodes the relations between words and meanings • A lexeme is the minimal unit represented in the lexicon ▫ It pairs a stem (the orthographic/phonological form chosen to represent words) with a symbolic form for meaning representation (sense) • A dictionary is a kind of lexicon where meanings are expressed through definitions and examples son noun a boy or man in relation to either or both of his parents. • a male offspring of an animal. • a male descendant : the sons of Adam. • ( the Son) (in Christian belief) the second person of the Trinity; Christ. • a man considered in relation to his native country or area : one of Nevada's most famous sons. • a man regarded as the product of a particular person, influence, or environment : sons of the French Revolution. • (also my son) used by an elder person as a form of address for a boy or young man : “You're on private land, son.” 3 Marco Maggini Tecnologie per l'elaborazione del linguaggio Lexicons & dictionaries • Definitions in dictionaries exploit words and they may be circular (a word definition uses words whose definitions exploit that word) right adj. 1. of, relating to, situated on, or being the side of the body which is away from the side on which the heart is mostly located 2. located nearer to the right hand than to the left 3. -
Wittgenstein and Nietzsche: Two Critics of Philosophy
Wittgenstein and Nietzsche: Two Critics of Philosophy by Anu Koshal Graduate Program in Literature Duke University Date: July 23, 2010 Approved: ___________________________ Toril Moi, Supervisor __________________________ Richard Fleming __________________________ V.Y. Mudimbe __________________________ Michael Hardt Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate Program in Literature in the Graduate School of Duke University 2010 ABSTRACT Wittgenstein and Nietzsche: Two Critics of Philosophy by Anu Koshal Graduate Program in Literature Duke University Date: July 23, 2010 Approved: ___________________________ Toril Moi, Supervisor __________________________ Richard Fleming __________________________ V.Y. Mudimbe __________________________ Michael Hardt An abstract submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate Program in Literature in the Graduate School of Duke University 2010 ii Copyright by Anu Koshal 2010 iii ABSTRACT Few philosophers have been more critical of the Western philosophical tradition than Friedrich Nietzsche and Ludwig Wittgenstein. Nietzsche and Wittgenstein did not just reject the conclusions of their philosophical predecessors; they rejected their most basic assumptions. They rejected the very idea of philosophy as the attempt to rationally develop objective theories of the world. And yet Wittgenstein and Nietzsche have now been absorbed into the discipline they wanted to abolish. This dissertation attempts to recapture the force and extent of their respective criticisms of philosophy, and evaluate their conceptions of what philosophy should be. I begin by examining Wittgenstein’s claim that philosophical problems rest on a misunderstanding of language. I show that this claim does not entail a quietist refusal to engage in philosophical problems, as many have argued. -
Chapter 02 Test A
MULTIPLE CHOICE 1 : Which of the following statements has primarily cognitive meaning? A : Private insurance companies regularly overbill the Medicare program. B : From what I saw last night, its clear that your little brother is a brat. C : Justin Timberlakes latest CD is positively stunning. D : Professor Gibson delivered a moronic lecture today on Platos metaphysics. E : Everyone with a functioning brain rejects religious fundamentalism. Correct Answer : A 2 : Which of the following statements expresses a value claim? A : Animal rights groups argue that live animals should not be used as mascots. B : The recent jobs report raised fears of a recession among Wall Street investors. C : Piracy continues to be a drag on the motion picture industry. D : The Los Angeles Times is a better paper than the San Francisco Chronicle. E : Diabetes poses a serious threat to the health of the elderly. Correct Answer : D 3 : Which of the following statements is vague? A : Tahiti is located in French Polynesia. B : American workers are more productive than the workers in any other country. C : Art work at the Genesis gallery tends to be expensive. D : Mabel shot her husband while taking a bath. E : Polar bears are threatened by global warming. Correct Answer : C 4 : Which of the following statements is ambiguous? A : Anniversaries are usually occasions for celebration. B : Homes in the new River Front development are reasonably priced. C : The Thanksgiving holiday always occurs in November. D : Boalt Hall is part of the University of California. E : Professor Hays talked about sex in the seminar room. -
Learning Antonyms with Paraphrases and A
LEARNING ANTONYMS WITH PARAPHRASES AND A MORPHOLOGY-AWARE NEURAL NETWORK Sneha Rajana A THESIS In Computer and Information Science Presented to the Faculties of the University of Pennsylvania in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering 2017 _______________________________ Prof. Chris Callison-Burch Supervisor of Thesis _______________________________ Prof. Lyle Ungar Thesis Reader _______________________________ Prof. Boon Thau-Loo Masters Chairperson Acknowledgements I would like to thank Prof. Chris Callison-Burch for not only supervising this thesis but for being an amazing advisor and for getting me interested in NLP research. I am thankful to Prof. Lyle Ungar for serving on the thesis committee and Prof. Boon Thau Loo and the CIS department of Penn Engineering for providing me with the en- couragement and necessary resources to carry out this project. Besides this, I would also like to thank Vered Shwartz, Bar-Ilan University, Israel for providing us with the preprocessed corpus and software for parts of this work and whose insightful advice and guidance led to the successful completion of this project. I am grateful to my fellow Masters students whose constant encouragement and support was invaluable. Finally, thank you to my family. I am who I am because of you. ii Abstract Recognizing and distinguishing antonyms from other types of semantic relations is a key part of language understanding systems and has widespread applications in Natural Language Processing tasks. In this study, we present two novel methods for identifying antonyms. In our first method, we use paraphrase pairs containing negation markers to derive antonym pairs.