Non-Fiction Books:

English Algorithmic Grammar

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Hardback
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Description

Research monograph presenting a new approach to Computational Linguistics The ultimate goal of Computational Linguistics is to teach the computer to understand Natural Language. This research monograph presents a description of English according to algorithms which can be programmed into a computer to analyse natural language texts. The algorithmic approach uses series of instructions, written in Natural Language and organised in flow charts, with the aim of analysing certain aspects of the grammar of a sentence. One problem with text processing is the difficulty in distinguishing word forms that belong to parts of speech taken out of context. In order to solve this problem, Hristo Georgiev starts with the assumption that every word is either a verb or a non-verb. Form here he presents an algorithm which allows the computer to recognise parts of speech which to a human would be obvious though the meaning of the words. Emphasis for a computer is placed on verbs, nouns, participles and adjectives. English Algorithmic Grammar presents information for computers to recognise tenses, syntax, parsing, reference, and clauses. The final chapters of the book examine the further applications of an algorithmic approach to English grammar, and suggests ways in which the computer can be programmed to recognise meaning. This is an innovative, cutting-edge approach to computational linguistics that will be essential reading for academics researching computational linguistics, machine translation and natural language processing.

Author Biography

Dr Hristo Georgiev is an independent researcher in Natural Language Processing.
Release date Australia
November 21st, 2005
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Country of Publication
United Kingdom
Illustrations
11 b&w illustrations
Imprint
Continuum International Publishing Group Ltd.
Pages
272
Publisher
Bloomsbury Publishing PLC
Dimensions
156x234x25
ISBN-13
9780826487773
Product ID
1675478

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