Spotting and Discovering Terms Through Natural Language Processing Christian Jacquemin

ISBN: 9780262100854

Published: April 27th 2001

Hardcover

357 pages


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Spotting and Discovering Terms Through Natural Language Processing  by  Christian Jacquemin

Spotting and Discovering Terms Through Natural Language Processing by Christian Jacquemin
April 27th 2001 | Hardcover | PDF, EPUB, FB2, DjVu, AUDIO, mp3, RTF | 357 pages | ISBN: 9780262100854 | 6.17 Mb

In this book Christian Jacquemin shows how the power of natural language processing (NLP) can be used to advance text indexing and information retrieval (IR). Jacquemins novel tool is FASTR, a parser that normalizes terms and recognizes termMoreIn this book Christian Jacquemin shows how the power of natural language processing (NLP) can be used to advance text indexing and information retrieval (IR). Jacquemins novel tool is FASTR, a parser that normalizes terms and recognizes term variants.

Since there are more meanings in a language than there are words, FASTR uses a metagrammar composed of shallow linguistic transformations that describe the morphological, syntactic, semantic, and pragmatic variations of words and terms. The acquired parsed terms can then be applied for precise retrieval and assembly of information.The use of a corpus-based unification grammar to define, recognize, and combine term variants from their base forms allows for intelligent information access to, or linguistic data tuning of, heterogeneous texts.

FASTR can be used to do automatic controlled indexing, to carry out content-based Web searches through conceptually related alternative query formulations, to abstract scientific and technical extracts, and even to translate and collect terms from multilingual material. Jacquemin provides a comprehensive account of the method and implementation of this innovative retrieval technique for text processing.



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