書誌事項

Computational and quantitative studies

M.A.K. Halliday ; edited by Jonathan J. Webster

(Collected works of M.A.K. Halliday, v. 6)

Continuum, 2005

  • : hard

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注記

Includes bibliographical references (p. 285-293) and index

内容説明・目次

内容説明

This is a deeply impressive book by a prominent linguist. As always, Professor Halliday's contributions are pervasively readable and stimulating. Jan Svartvik, Emeritus Professor, Lund University, Sweden. Throughout his career Professor Halliday has continued to address the issue of the application of linguistic scholarship to Computational and Quantitative Studies. The sixth volume in the collected works of Professor M. A. K. Halliday includes works that span the last five decades, covering developments in machine translation and corpus linguistics. The principles and methods outlined in these papers remain as relevant today as when they were first published, continuing to point the way forward in an endeavour where success depends more on advancing our knowledge of language than machines.

目次

Part I - Machine translation: the early years, Editor's Introduction 1 The linguistic basis of a mechanical thesaurus, and its application to English preposition classification 2 Linguistics and machine translation Part II - Probabilistic grammar and the corpus, Editor's Introduction 3 Towards probabilistic interpretations 4 Corpus studies and probabilistic grammar 5 Language as system and language as instance: the corpus as a theoretical construct 6 [with Z L James] A quantitative study of polarity and primary tense in the English Finite clause 7 Quantitative studies and probabilities in grammar 8 The spoken language corpus Part III - Towards "intelligent computing" (computing with Meaning), Editor's Introduction 9 On language in relation to fuzzy logic and intelligent computing 10 Fuzzy grammatics: a systemic functional approach to fuzziness in neutral language 11 Computing meaning: some reflections on past experience and present prospects Appendix: Systems of the English clause: a trial grammar for the PENMAN text generation project. [Information Sciences Institute, University of Southern California]

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