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Date

22. 3.2008 18:18:53

Footnote

Rez. in: Knowledge organization 30(2003) no.2, S.112-113 (L. Bowker): "Terminology is generally understood to be the activity that is concerned with the identification, collection and processing of terms; terms are the lexical items used to describe concepts in specialized subject fields Terminology is not always acknowledged as a discipline in its own right; it is sometimes considered to be a subfield of related disciplines such as lexicography or translation. However, a growing number of researchers are beginning to argue that terminology should be recognized as an autonomous discipline with its own theoretical underpinnings. Kageura's book is a valuable contribution to the formulation of a theory of terminology and will help to establish this discipline as an independent field of research. The general aim of this text is to present a theory of term formation and terminological growth by identifying conceptual regularities in term creation and by laying the foundations for the analysis of terminological growth patterns. The approach used is a descriptive one, which means that it is based an observations taken from a corpus. It is also synchronic in nature and therefore does not attempt to account for the evolution of terms over a given period of time (though it does endeavour to provide a means for predicting possible formation patterns of new terms). The descriptive, corpus-based approach is becoming very popular in terminology circles; however, it does pose certain limitations. To compensate for this, Kageura complements his descriptive analysis of conceptual patterns with a quantitative analysis of the patterns of the growth of terminology. Many existing investigations treat only a limited number of terms, using these for exemplification purposes. Kageura argues strongly (p. 31) that any theory of terms or terminology must be based an the examination of the terminology of a domain (i.e., a specialized subject field) in its entirety since it is only with respect to an individual domain that the concept of "term" can be established. To demonstrate the viability of his theoretical approach, Kageura has chosen to investigate and describe the domain of documentation, using Japanese terminological data. The data in the corpus are derived from a glossary (Wersig and Neveling 1984), and although this glossary is somewhat outdated (a fact acknowledged by the author), the data provided are nonetheless sufficient for demonstrating the viability of the approach, which can later be extended and applied to other languages and domains.

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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.

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Date

14. 4.2007 10:04:22

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Date

22. 7.2013 10:53:30

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Date

22. 7.2013 10:53:30