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This book provides an introduction to compositional semantics and to the syntax/semantics interface. It is rooted within the tradition of model theoretic semantics, and develops an explicit fragment of both the syntax and semantics of a rich portion of English. Professor Jacobson adopts a Direct Compositionality approach, whereby the syntax builds the expressions while the semantics simultaneously assigns each a model-theoretic interpretation. Alongside this approach, the author also presents a competing view that makes use of an intermediate level, Logical Form. She develops parallel treatments of a variety of phenomena from both points of view with detailed comparisons. The book begins with simple and fundamental concepts and gradually builds a more complex fragment, including analyses of more advanced topics such as focus, negative polarity, and a variety of topics centering on pronouns and binding more generally. Exercises are provided throughout, alongside open-ended questions for students to consider. The exercises are interspersed with the text to promote self-discovery of the fundamentals and their applications. The book provides a rigorous foundation in formal analysis and model theoretic semantics and is suitable for advanced undergraduate and graduate students in linguistics, philosophy of language, and related fields.
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
This book provides an introduction to compositional semantics and to the syntax/semantics interface. It is rooted within the tradition of model theoretic semantics, and develops an explicit fragment of both the syntax and semantics of a rich portion of English. Professor Jacobson adopts a Direct Compositionality approach, whereby the syntax builds the expressions while the semantics simultaneously assigns each a model-theoretic interpretation. Alongside thisapproach, the author also presents a competing view that makes use of an intermediate level, Logical Form. She develops parallel treatments of a variety of phenomena from both points of view with detailedcomparisons. The book begins with simple and fundamental concepts and gradually builds a more complex fragment, including analyses of more advanced topics such as focus, negative polarity, intensionality, and quantified logic. Exercises are provided throughout, alongside open-ended questions for students to consider. The book provides a rigorous foundation in formal analysis and model theoretic semantics and is suitable for advanced undergraduate and graduate students in linguistics, philosophyof language, and related fields.
All humans can interpret sentences of their native language quickly and without effort. Working from the perspective of generative grammar, the contributors to this volume investigate three mental mechanisms, widely assumed to underlie this ability: compositional semantics, implicature computation and presupposition computation.
An introductory text in linguistic semantics, uniquely balancing empirical coverage and formalism with development of intuition and methodology. This introductory textbook in linguistic semantics for undergraduates features a unique balance between empirical coverage and formalism on the one hand and development of intuition and methodology on the other. It will equip students to form intuitions about a set of data, explain how well an analysis of the data accords with their intuitions, and extend the analysis or seek an alternative. No prior knowledge of linguistics is required. After mastering the material, students will be able to tackle some of the most difficult questions in the field even if they have never taken a linguistics course before. After introducing such concepts as truth conditions and compositionality, the book presents a basic symbolic logic with negation, conjunction, and generalized quantifiers, to serve as the basis for translation throughout the book. It then develops a detailed compositional semantics, covering quantification (scope and binding), adverbial modification, relative clauses, event semantics, tense and aspect, as well as pragmatic phenomena, notably deictic pronouns and narrative progression. A Course in Semantics offers a large and diverse set of exercises, interspersed throughout the text; those labeled “Important practice and looking ahead” prepare students for material to come; those labeled “Thinking about ” invite students to think beyond the content of the book.
This book provides an introduction to the study of meaning in human language, from a linguistic perspective. It covers a fairly broad range of topics, including lexical semantics, compositional semantics, and pragmatics. The chapters are organized into six units: (1) Foundational concepts; (2) Word meanings; (3) Implicature (including indirect speech acts); (4) Compositional semantics; (5) Modals, conditionals, and causation; (6) Tense & aspect. Most of the chapters include exercises which can be used for class discussion and/or homework assignments, and each chapter contains references for additional reading on the topics covered. As the title indicates, this book is truly an INTRODUCTION: it provides a solid foundation which will prepare students to take more advanced and specialized courses in semantics and/or pragmatics. It is also intended as a reference for fieldworkers doing primary research on under-documented languages, to help them write grammatical descriptions that deal carefully and clearly with semantic issues. The approach adopted here is largely descriptive and non-formal (or, in some places, semi-formal), although some basic logical notation is introduced. The book is written at level which should be appropriate for advanced undergraduate or beginning graduate students. It presupposes some previous coursework in linguistics, but does not presuppose any background in formal logic or set theory.
This book is a collection of papers written by outstanding researchers in the newly emerging field of computational semantics. Computational semantics is concerned with the computation of the meanings of linguistic objects such as text fragments, spoken dialogue utterances, and e-mail messages. The meaning of such an object is determined partly by linguistic information and partly by information from the context in which the object occurs. The information from these sources is combined by processes that infer which interpretation of the object applies in the given context. This applies not only to notoriously difficult aspects of interpreting linguistic objects, such as indexicals, anaphora, and metonymy, but also to establishing the precise reference of common nouns and the scopes of noun phrases. The central issue in computational semantics is how processes of finding and combining the relevant linguistic and contextual information into contextually appropriate meanings can be organised. Traditional approaches of applying context information to disambiguated natural language expressions do not work well, due to the massive ambiguity in natural language. Recent work in computational semantics suggests, alternatively, to represent linguistic semantic information in formal structures with underspecification, and to apply context information in inference processes that result in further specification of these representations. Underspecified representation and inference are therefore the key topics in this book. The book is aimed at those linguists, computer scientists, and logicians who take an interest in the computation of meaning, and who want to know what is happening in this exciting field of research.
This textbook helps undergraduate students of language and linguistics taking their first steps in one of the core areas of grammar, introducing them to the basic ideas, insights, and techniques of contemporary semantic theory. Requiring no special background knowledge, the book starts with everyday observations about word meaning and use and then hightlights the role of structure in the analysis of the meanings of phrases and clauses, zooming in on the fascinating and vexing question of how speakers manage to meaningfully communicate with sentences and texts they have never come across before. At the same time, the reader becomes acquainted with the modern, functionalist characterization of linguistic meaning in terms of reference (extension) and information (intension), and learns to apply technical tools from formal logic to analyzing the meaning of complex linguistic expressions as being composed by the meanings of their parts. Each of the nine main chapters contains a variety of exercises for self-study and classroom use, with model solutions in the appendix. Extensive English examples provide ample illustration.
An introduction to natural language semantics that offers an overview of the empirical domain and an explanation of the mathematical concepts that underpin the discipline. This textbook offers a comprehensive introduction to the fundamentals of those approaches to natural language semantics that use the insights of logic. Many other texts on the subject focus on presenting a particular theory of natural language semantics. This text instead offers an overview of the empirical domain (drawn largely from standard descriptive grammars of English) as well as the mathematical tools that are applied to it. Readers are shown where the concepts of logic apply, where they fail to apply, and where they might apply, if suitably adjusted. The presentation of logic is completely self-contained, with concepts of logic used in the book presented in all the necessary detail. This includes propositional logic, first order predicate logic, generalized quantifier theory, and the Lambek and Lambda calculi. The chapters on logic are paired with chapters on English grammar. For example, the chapter on propositional logic is paired with a chapter on the grammar of coordination and subordination of English clauses; the chapter on predicate logic is paired with a chapter on the grammar of simple, independent English clauses; and so on. The book includes more than five hundred exercises, not only for the mathematical concepts introduced, but also for their application to the analysis of natural language. The latter exercises include some aimed at helping the reader to understand how to formulate and test hypotheses.
By highlighting relations between experimental and theoretical work, this volume explores new ways of addressing one of the central challenges in the study of language and cognition. The articles bring together work by leading scholars and younger researchers in psychology, linguistics and philosophy. An introductory chapter lays out the background on concept composition, a problem that is stimulating much new research in cognitive science. Researchers in this interdisciplinary domain aim to explain how meanings of complex expressions are derived from simple lexical concepts and to show how these meanings connect to concept representations. Traditionally, much of the work on concept composition has been carried out within separate disciplines, where cognitive psychologists have concentrated on concept representations, and linguists and philosophers have focused on the meaning and use of logical operators. This volume demonstrates an important change in this situation, where convergence points between these three disciplines in cognitive science are emerging and are leading to new findings and theoretical insights. This book is open access under a CC BY license.