Rule-Based Natural Language Processing Methods

Özlem Akta¿

ISBN 10: 3843355991 / ISBN 13: 9783843355995

Published by LAP LAMBERT Academic Publishing Dez 2010, 2010

About this Item

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 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch. Seller Inventory # 9783843355995

Bibliographic Details

Title: Rule-Based Natural Language Processing ...

Publisher: LAP LAMBERT Academic Publishing Dez 2010

Publication Date: 2010

Binding: Taschenbuch

Condition: Neu

About this title

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 (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.

About the Author:

Özlem Aktas; had received the B.S., M.S. and Ph.D. degrees in Computer Engineering Department of Dokuz Eylul University (DEU), Turkey. She has been an Instructor in the same department. Yalçin Çebi; had received the B.S., M.S. and Ph.D. degrees in Mining Engineering of DEU. He has been Professor in the Computer Engineering Department of DEU.