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Computation in Linguistics
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Making a valuable contribution to a rapidly growing phase of linguistic science, the editors bring together enlightening case studies which demonstrate the varied use of computation and computers in the solution of problems in linguistis. Computational approaches to specific problems in formal languages, data processing, comparative linguistics, automatic parsing and translation, automatic verification procedures, and automated instruction are thoroughly analyzed. Contributors include Paul L. Garvin, R Banerji, W. C. Crossgrove, Roger Shuy, Volney Steffire, Alber Schütz, D. L. Stampe, S. N. Jacobson, Dan M. Matson, Fred C. Peng, Paul D. Samuelsdorff, Richard L. Venezky, Oswald Werner, Mary Lou Joynes, and Bernard Spolsky.

Table of Contents

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  1. Cover
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  1. About the Book
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  1. Half Title Page
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  1. Editorial Committee
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  1. Title Page
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  1. The Authors
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  1. Copyright
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  1. Acknowledgments
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  1. Contents
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  1. Introduction
  2. Paul Garvin
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  1. Part 1. Data-Processing Problems
  1. 1. Computers and Anthropological Linguistics
  2. Oswald Werner
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  1. 2. A Syntactic Concordance for Middle High German
  2. W. C. Crossgrove
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  1. 3. An Automatic Retrieval Program for the Linguistic Atlas of the United States and Canada
  2. Roger W. Shuy
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  1. Part 2. Systems Problems
  1. 4. Some Studies in Syntax-Directed Parsing
  2. Ranan B. Banerji
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  1. 5. A Program For the Determination of Lexical Similarity between Dialects
  2. Albert J. Schüitz, Jerome Wenker
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  1. 6. Automatic Spelling-to-Sound Conversion
  2. Richard L. Venezky
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  1. 7. Towards Automatic Morphemicization of Verbal Forms in Telugu
  2. Dan M. Matson
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  1. 8. Automatic Verification of Phrase Structure Description
  2. Mary Lu Joynes
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  1. 9. A Structural Recognition Routine for the Noun Phrases of Standard Chinese
  2. Fred C. C. Peng
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  1. 10. The Participle in Modern Hebrew — A Study in Automatic Ambiguity Resolution
  2. Paul O. Samuelsdorff
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  1. 11. A Modifiable Routine for Connecting Related Sentences of English Text
  2. S. N. Jacobson
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  1. 12. Man-Machine Communication in Programmed Instruction
  2. Bernard Spolsky
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