Characteristics of Contemporary Printed Turkish

Author: FER??TAH ÖRÜCÜ
Edition:
Binding: Paperback
ISBN: 3838385071

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

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. Get Characteristics of Contemporary Printed Turkish computer books for free.
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 Check Characteristics of Contemporary Printed Turkish our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Characteristics of Contemporary Printed Turkish Download

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 n 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

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