9783843355995 - rule-based natural language processing methods: for turkish de akta?, özlem; çeb?, yalç?n (8 resultados)

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Librería: moluna, Greven, , Alemaniamoluna
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Taschenbuch. Condición: Neu. Rule-Based Natural Language Processing Methods | For Turkish | Özlem Akta¿ (u. a.) | Taschenbuch | 176 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843355995 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de…| Anbieter: preigu.

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Paperback. Condición: Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock.

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, the developed methods of natural language processing for Turkish by using rule-based approach were told, and also an implemented infrastructure, Rule-Based Automatical Corpus Generation (RB-CorGen), to use the new deve…loped methods was explained briefly. For testing RB-CorGen on Turkish, the roots, stems and suffixes were obtained by coopoeration with Turkish Linguistic Association (Türk Dil Kurumu, TDK) and Dokuz Eylul University, College of Literature Linguistic Department, the defined tags and grammatical rules were stored in XML formatted file, and documents, include nearly 95 million wordforms, were collected from five Turkish newspapers in electronic environment. New methods, called Rule-Based Sentence Boundary Detection (RB-SBD), Rule-Based Morphological Analyser (RB-MA) and Rule-Based POS Tagging (RB-POST), were developed and analysed. It was seen that the success rates of these methods increase with the increasing number of rules. 176 pp. Englisch.

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, the developed methods of natural language processing for Turkish by using rule-based approach were told, and also an implemented infrastructure, Rule-Based Automatical Corpus Generation (RB-CorGen), to use the new develope…d methods was explained briefly. For testing RB-CorGen on Turkish, the roots, stems and suffixes were obtained by coopoeration with Turkish Linguistic Association (Türk Dil Kurumu, TDK) and Dokuz Eylul University, College of Literature Linguistic Department, the defined tags and grammatical rules were stored in XML formatted file, and documents, include nearly 95 million wordforms, were collected from five Turkish newspapers in electronic environment. New methods, called Rule-Based Sentence Boundary Detection (RB-SBD), Rule-Based Morphological Analyser (RB-MA) and Rule-Based POS Tagging (RB-POST), were developed and analysed. It was seen that the success rates of these methods increase with the increasing number of rules.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, the developed methods of natural language processing for Turkish by using rule-based approach were told, and also an implemented infrastructure, Rule-Based Automatical Corpus Generation (RB-CorGen), to use the new developed… methods was explained briefly. For testing RB-CorGen on Turkish, the roots, stems and suffixes were obtained by coopoeration with Turkish Linguistic Association (Türk Dil Kurumu, TDK) and Dokuz Eylul University, College of Literature Linguistic Department, the defined tags and grammatical rules were stored in XML formatted file, and documents, include nearly 95 million wordforms, were collected from five Turkish newspapers in electronic environment. New methods, called Rule-Based Sentence Boundary Detection (RB-SBD), Rule-Based Morphological Analyser (RB-MA) and Rule-Based POS Tagging (RB-POST), were developed and analysed. It was seen that the success rates of these methods increase with the increasing number of rules.