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Computational LinguisticsAn Introduction (Studies in Natural Language Processing)

Format: Paperback

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In spite of the rapid growth of interest in the computer analysis of language, this book provides an integrated introduction to the field. Inevitably, when many different approaches are still being considered, a straightforward work of synthesis would be neither possible nor practicable. Nevertheless, Ralph Grishman provides a valuable survey of various approaches to the problems of syntax analysis, semantic analysis, text analysis and natural language generation, while considering in greater detail those that seem to him most productive. The book is written for readers with some background in computer science and finite mathematics, but advanced knowledge of programming languages or compilers is not necessary and nor is a background in linguistics. The exposition is always clear and students will find the exercises and extensive bibliography supporting the text particularly helpful.

Genre: Computers, Artificial Intelligence
Format: Other Book Format
Published: 1986
Pages: 193
Publisher: Cambridge University Press
ISBN: 9780521310383

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Our conditions mean the following:

  • New - a brand new book
  • Almost New - appears new but is actually secondhand.
  • Very Good - only minor imperfections such as minor scuffs to edge or cover or a price written in pencil or shop sticker.
  • Standard Secondhand - Clearly been read before, but not too bad. We do not recommend these for gifting. Spines usually creased. Could also include creases or folds to cover, some writing such as in the cover or elsewhere, underlining or highlighting, but might not do. Possibly some stains or marks. Similar in general to books in any secondhand shop or charity shop.
  • Poor Condition - Usually this will have a specific problem such as writing inside, water damage, missing dust jacket, heavy staining, large creases or cuts. These are readable copies but not nice ones. On other websites this condition is called 'Acceptable' or 'Fair' , but we want to be more honest.
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