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Abstract

Semantic Relations and the Lexicon explores the many paradigmatic semantic relations between words, such as synonymy, antonymy and hyponymy, and their relevance to the mental organization of our vocabularies. Drawing on a century's research in linguistics, psychology, philosophy, anthropology and computer science, M. Lynne Murphy proposes a pragmatic approach to these relations. Whereas traditional approaches have claimed that paradigmatic relations are part of our lexical knowledge, Dr Murphy argues that they constitute metalinguistic knowledge, which can be derived through a single relational principle, and may also be stored as part of our extra-lexical, conceptual representations of a word. Part I shows how this approach can account for the properties of lexical relations in ways that traditional approaches cannot, and Part II examines particular relations in detail. This book will serve as an informative handbook for all linguists and cognitive scientists interested in the mental representation of vocabulary.

Date

22. 7.2013 10:53:30

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Abstract

The discovery of rules for the systematicity and dynamics of terminology creations is essential for a sound basis of a theory of terminology. This quest provides the driving force for the dynamics of terminology in which Dr Kageura demonstrates the interaction of these two factors on a specific corpus of Japanese terminology which, beyond the necessary linguistic circumstances, also has a model character for similar studies. His detailed examination of the relationships between terms and their constituent elements, the relationships among the constituent elements and the type of conceptual combinations used in the construction of the terminology permits deep insights into the systematic thought processes underlying term creation. To compensate for the inherent limitation of a purely descriptive analysis of conceptual patterns, Dr. Kageura offers a quantitative analysis of the patterns of the growth of terminology.

Date

22. 3.2008 18:18:53

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Abstract

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology at all levels and with all modern technologies this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.