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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which th...
This unique contribution to the ongoing discussion of language acquisition considers the Argument from the Poverty of the Stimulus in language learning in the context of the wider debate over cognitive, computational, and linguistic issues. Critically examines the Argument from the Poverty of the Stimulus - the theory that the linguistic input which children receive is insufficient to explain the rich and rapid development of their knowledge of their first language(s) through general learning mechanisms Focuses on formal learnability properties of the class of natural languages, considered from the perspective of several learning theoretic models The only current book length study of arguments for the poverty of the stimulus which focuses on the computational learning theoretic aspects of the problem
This book provides a systematic study of three foundational issues in the semantics of natural language that have been relatively neglected in the past few decades. focuses on the formal characterization of intensions, the nature of an adequate type system for natural language semantics, and the formal power of the semantic representation language proposes a theory that offers a promising framework for developing a computational semantic system sufficiently expressive to capture the properties of natural language meaning while remaining computationally tractable written by two leading researchers and of interest to students and researchers in formal semantics, computational linguistics, logic, artificial intelligence, and the philosophy of language
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
The second edition of The Handbook of Contemporary Semantic Theory presents a comprehensive introduction to cutting-edge research in contemporary theoretical and computational semantics. Features completely new content from the first edition of The Handbook of Contemporary Semantic Theory Features contributions by leading semanticists, who introduce core areas of contemporary semantic research, while discussing current research Suitable for graduate students for courses in semantic theory and for advanced researchers as an introduction to current theoretical work
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"The first edition of this Handbook is built on surveys by well-known figures from around the world and around the intellectual world, reflecting several different theoretical predilections, balancing coverage of enduring questions and important recent work. Those strengths are now enhanced by adding new chapters and thoroughly revising almost all other chapters, partly to reflect ways in which the field has changed in the intervening twenty years, in some places radically. The result is a magnificent volume that can be used for many purposes." David W. Lightfoot, Georgetown University "The Handbook of Linguistics, Second Edition is a stupendous achievement. Aronoff and Rees-Miller have prov...
This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on "Recent Advances in Natural Language Processing". A wide range of topics is covered in the volume: semantics, dialog, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction. Various 'state-of-the-art' techniques are explored: finite state processing, machine learning (support vector machines, maximum entropy, decision trees, memory-based learning, inductive logic programming, transformation-based learning, perceptions), latent semantic analysis, constraint programming. The papers address different languages (Arabic, English, German, Slavic languages) and use different linguistic frameworks (HPSG, LFG, constraint-based DCG). This book will be of interest to those who work in computational linguistics, corpus linguistics, human language technology, translation studies, cognitive science, psycholinguistics, artificial intelligence, and informatics.
Documenting how in the course of acquiring language children become speakers and members of communities, The Handbook of Language Socialization is a unique reference work for an emerging and fast-moving field. Spans the fields of anthropology, education, applied linguistics, and human development Includes the latest developments in second and heritage language socialization, and literary and media socialization Discusses socialization across the entire life span and across institutional settings, including families, schools, work places, and churches Explores data from a multitude of cultures from around the world
The Handbook of Intercultural Discourse and Communication brings together internationally-renowned scholars from a range of fields to survey the theoretical perspectives and applied work, including example analyses, in this burgeoning area of linguistics. Features contributions from established researchers in sociolinguistics and intercultural discourse Explores the theoretical perspectives underlying work in the field Examines the history of the field, work in cross-cultural communication, and features of discourse Establishes the scope of this interdisciplinary field of study Includes coverage on individual linguistic features, such as indirectness and politeness, as well as sample analyses of IDC exchanges