Semantics Volume 1
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Semantics Volume 1
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Author : John Lyons
language : en
Publisher: Cambridge University Press
Release Date : 1977-06-02
Semantics Volume 1 written by John Lyons and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977-06-02 with Language Arts & Disciplines categories.
Anyone who writes an up-to-date textbook of semantics has to be au fait with an extremely wide range of contemporary academic activity. John Lyons' new book demonstrates a remarkable ability to achieve such catholicity of expertise...
Semantics Volume 1
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Author : Claudia Maienborn
language : en
Publisher: Walter de Gruyter
Release Date : 2011-07-27
Semantics Volume 1 written by Claudia Maienborn and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-27 with Language Arts & Disciplines categories.
No detailed description available for "SEMANTICS (MAIENBORN ET AL.) BD. 33.1 HSK E-BOOK".
Toward A Cognitive Semantics Volume 1
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Author : Leonard Talmy
language : en
Publisher: MIT Press
Release Date : 2003-01-24
Toward A Cognitive Semantics Volume 1 written by Leonard Talmy and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-24 with Language Arts & Disciplines categories.
In this two-volume set, Talmy approaches the question of how language organizes conceptual material both at a general level and by analyzing a crucial set of particular conceptual domains: space and time, motion and location, causation and force interaction, and attention and viewpoint. One of a two-volume set defining the field of cognitive semantics. Leonard Talmy approaches the question of how language organizes conceptual material both at a general level and by analyzing a crucial set of particular conceptual domains: space and time, motion and location, causation and force interaction, and attention and viewpoint. Talmy maintains that these are among the most fundamental parameters by which language structures conception. By combining these conceptual domains into an integrated whole, Talmy shows, we advance our understanding of the overall conceptual and semantic structure of natural language. Volume one examines the fundamental systems by which language shapes concepts.
Semantics
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Author : John Lyons
language : en
Publisher:
Release Date : 1977
Semantics written by John Lyons and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Grammar, Comparative and general categories.
The Semantics Of Grammatical Dependencies
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Author : Alastair Butler
language : en
Publisher: BRILL
Release Date : 2010
The Semantics Of Grammatical Dependencies written by Alastair Butler and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.
This book argues that constraints of interaction from semantic evaluations enforce grammatical dependency patterns that recur across natural languages and within constructions at intra and inter sentential levels as well as discourse levels.
Semantic Relations Between Nominals Second Edition
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Author : Vivi Nastase
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Semantic Relations Between Nominals Second Edition written by Vivi Nastase and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
A Reader S Guide To Classic Papers In Formal Semantics
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Author : Louise McNally
language : en
Publisher: Springer Nature
Release Date : 2022-08-05
A Reader S Guide To Classic Papers In Formal Semantics written by Louise McNally and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-05 with Language Arts & Disciplines categories.
This volume contains 21 new and original contributions to the study of formal semantics, written by distinguished experts in response to landmark papers in the field. The chapters make the target articles more accessible by providing background, modernizing the notation, providing critical commentary, explaining the afterlife of the proposals, and offering a useful bibliography for further study. The chapters were commissioned by the series editors to mark the 100th volume in the book series Studies in Linguistics and Philosophy. The target articles are amongst the most widely read and cited papers up to the end of the 20th century, and cover most of the important subfields of formal semantics. The authors are all prominent researchers in the field, making this volume a valuable addition to the literature for researchers, students, and teachers of formal semantics. Chapter 19 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Semantic Relations Between Nominals
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Author : Vivi Nastase
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2021-04-08
Semantic Relations Between Nominals written by Vivi Nastase and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-08 with Computers categories.
Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, ROCKS are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
Syntax And Semantics Of Prepositions
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Author : Patrick Saint-Dizier
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-02
Syntax And Semantics Of Prepositions written by Patrick Saint-Dizier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-02 with Language Arts & Disciplines categories.
A great deal of attention has been devoted in the past ten years in the lingu- tic and computational linguistics communities to the syntax and the semantics of nouns, verbs and also, but to a lesser extent, to adjectives. Related p- nomena such as quanti?cation or tense and aspect have motivated a number of in-depth studies and projects. In contrast, prepositions have received less attention. The reasons are quite clear: prepositions are highly polysemic, p- sibly more so than adjectives, and linguistic realizations are extremely dif?cult to predict, not to mention the dif?culty of identifying cross-linguistic regula- ties. Furthermore, a number of languages do not use prepositions or postpo- tions (or make a limited use of them) and prefer other linguistic forms such as morphological marks, e. g. case marks. Let us mention, however, projects devoted to prepositions expressing space, time and movement in arti?cial intelligence and in natural language processing, and also the development of formalisms and heuristics to handle prepositional phrase attachment ambiguities. Prepositions are also present in subcategorization frames of predicative lexical items, but often in an informal and coarse-grained way. Let us also mention the large number of studies in psycholinguistics and in ethnolinguistics around speci?c preposition senses. Finally, prepositions seem to reach a very deep level in the cognitive-semantic structure of the brain: cognitive grammar developers often use prepositions in their metalanguage, in order to express very primitive notions.
Knowledge Representation And The Semantics Of Natural Language
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Author : Hermann Helbig
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-19
Knowledge Representation And The Semantics Of Natural Language written by Hermann Helbig and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-19 with Computers categories.
Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few decades, the ?ood of digitalized information has been growing tremendously. This tendency will continue with the globali- tion of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical und- standing and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this c- text, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the g- eration of natural language expressions from formal representations. This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.