Rule-Based Natural Language Processing Methods: For Turkish par Akta, �zlem, �EB, Yal�n: New Paperback (2010)

A propos de cet article

New.

N� de r�f. du vendeur D8S0-3-M-3843355991-6

Contacter le vendeur

Signaler cet article

D�tails bibliographiques

Titre: Rule-Based Natural Language Processing Methods: For Turkish
�diteur: LAP LAMBERT Academic Publishing
Date de parution: 2010
Langue: anglais
ISBN � 10 chiffres: 3843355991
ISBN � 13 chiffres: 9783843355995
Reliure: Paperback
�tat de l'article: New
Type de livre: book

A propos de ce titre

Synopsis

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 (T�rk 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.

Pr�sentation de l'�diteur

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 (T�rk 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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.