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101 0 $aeng
135   $aur|n|---|||||
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200 10$aEnglish algorithmic grammar$b[electronic resource] /$fHristo Georgiev
210   $aLondon ;$aNew York $cContinuum$d2006
215   $a1 online resource (265 p.)
300   $aDescription based upon print version of record.
311   $a0-8264-8777-7 
320   $aIncludes bibliographical references (p. [250]-251) and index.
327   $aContents; Preface; Part One; 1 Algorithmic recognition of the Verb; 2 Division of the sentence into phrases; 3 Algorithmic recognition of Parts of Speech; 4 Algorithmic recognition of the Tenses; Part Two; 5 Syntactical structure of the sentence; 6 Composition of the segments; 7 Parsing algorithm; 8 Links of predicates and incomplete segments; 9 Reference; 10 Recognition of the Independent and Dependent Clauses; 11 Further applications; Appendix 1: List of Prepositions and Conjunctions and their most characteristic meaning; Appendix 2: Internet downloads; General index of abbreviations
327   $aReferencesIndex; A; B; C; D; E; F; G; I; L; M; N; O; P; Q; R; S; T; V; W
330   $aThe 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
606   $aEnglish language$xGrammar
606   $aComputational linguistics
606   $aEnglish language$xGrammar, Generative$xData processing
608   $aElectronic books.
615  0$aEnglish language$xGrammar.
615  0$aComputational linguistics.
615  0$aEnglish language$xGrammar, Generative$xData processing.
676   $a420.285
700   $aGeorgiev$b Hristo$0951242
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996   $aEnglish algorithmic grammar$92150347
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