Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two ...
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Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals. The eight contributions in this book explore the inevitable balancing act that must take place when symbolic and statistical approaches are brought together--including basic choices about what knowledge will be represented symbolically and how it will be obtained, what assumptions underlie the statistical model, what principles motivate the symbolic model, and what the researcher gains by combining approaches. The topics covered include an examination of the relationship between traditional linguistics and statistical methods, qualitative and quantitative methods of speech translation, study and implementation of combined techniques for automatic extraction of terminology, comparative analysis of the contributions of linguistic cues to a statistical word grouping system, automatic construction of a symbolic parser via statistical techniques, combining linguistic with statistical methods in automatic speech understanding, exploring the nature of transformation-based learning, and a hybrid symbolic/statistical approach to recovering from parser failures.
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Seller's Description:
New. The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic and statistical approaches to language are brought together. The topics covered include qualitative and quantative methods of speech translation and transformation based learning. Series: Language, Speech and Communication. Num Pages: 186 pages, 30. BIC Classification: CF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 152 x 12. Weight in Grams: 272. 1996. First Edition. Paperback.....We ship daily from our Bookshop.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 400grams, ISBN: 9780262611220.
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Seller's Description:
Very Good. Very Good Condition and Unread! Text is clean and unmarked! Light shelf wear to cover from storage, small crease. --Be Sure to Compare Seller Feedback and Ratings before Purchasing--Has a small black line on bottom/exterior edge of pages.
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Seller's Description:
Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain a few markings such as an owner's name, short gifter's inscription or light stamp.
