Computational and Quantitative Studies - Halliday, Michael A. K.
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Présentation Computational And Quantitative Studies Format Relié
- Livre Langues rares
Résumé : 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]
Sommaire:
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....
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