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.
Rezensionen / Stimmen
'[T]he book and the accompanying electronic resources provide a detailed description of an ordered rule-based approach to POS tagging and subsequent syntactic parsing. This results in a rather unique book.' Tracy Holloway King, Machine Translation -- Tracy Holloway King, Machine Translation, 2006 'This book represents the result of detailed and painstaking work by the author to exploit and catalogue the patterns that occur in English sentences. The results of his work are available in a form that is easy to implement on a computer, and indeed he has developed successful software products based on it. Robust processing of real Natural Language is vital for a whole range of applications, such as language teaching and intelligent searching on the internet, and solving the problems addressed in this book is core to many of these endeavours.' Professor Chris Mellish, Department of Computing Science, University of Aberdeen. * Blurb from reviewer *
Sprache
Verlagsort
Verlagsgruppe
Bloomsbury Publishing PLC
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-8264-8777-3 (9780826487773)
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Schweitzer Klassifikation
Dr Hristo Georgiev is an independent researcher in Natural Language Processing.
Introduction; Part I; 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 II; 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: a) List of prepositions and conjunctions and their most characteristic meaning; b) Full text of the flow charts mentioned in the book.; Appendix 2: a) Dictionary of segments; b) General index of abbreviations; c) General index of terms; References.
