Articles liés à Characteristics of Contemporary Printed Turkish: Letter...

Characteristics of Contemporary Printed Turkish: Letter and Word Characteristics of Contemporary Printed Turkish and Author Identification - Couverture souple

ÖRÜCÜ, FER??TAH; DALKILIÇ, GÖKHAN

 
9783838385075: Characteristics of Contemporary Printed Turkish: Letter and Word Characteristics of Contemporary Printed Turkish and Author Identification

Synopsis

Models of natural languages and language characteristics are widely used in many computer science applications such as data security, language identification, spell checking, data compression, authorship attribution and speech recognition. In the scope of this study, a large scale corpus is created and used to discover language characteristics of Turkish. Word and letter based analyses are made on this corpus to build a base for several NLP studies. In the author identification part, we used two different methods based on word n- grams to identify author of an anonymous text. For 16 authors, training and test set articles are collected, and mentioned two methods are applied on these article sets. Finally, obtained results from two methods are compared with each other and most successful method is determined. This study can help professionals working on author identification, corpus linguistics, n-gram analysis, cryptanalysis, and speech recognition.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Models of natural languages and language characteristics are widely used in many computer science applications such as data security, language identification, spell checking, data compression, authorship attribution and speech recognition. In the scope of this study, a large scale corpus is created and used to discover language characteristics of Turkish. Word and letter based analyses are made on this corpus to build a base for several NLP studies. In the author identification part, we used two different methods based on word n- grams to identify author of an anonymous text. For 16 authors, training and test set articles are collected, and mentioned two methods are applied on these article sets. Finally, obtained results from two methods are compared with each other and most successful method is determined. This study can help professionals working on author identification, corpus linguistics, n-gram analysis, cryptanalysis, and speech recognition.

Biographie de l'auteur

Feri?tah Örücü: She had received the B.S. and M.S. degrees in Comp Eng from DEU, Turkey. She has been a Ph.D. student and a Res Asst of Dept of Comp Eng of DEU. Gökhan Dalk?l?ç: He had received M.S. degrees in Comp Sci from USC, and from Ege Univ CI, Ph.D. degree in Comp Eng from DEU. He has been an Asst Prof of the Dept of Comp Eng of DEU.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.