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A hybrid approach for urdu sentence boundary disambiguation
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 9, Issue 3 (31 May. 2012), pp.250-255, 6 p.
Publisher
Publication Date
2012-05-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Sentence boundary identification is a preliminary step for preparing a text document for Natural Language Processing tasks, e.g., machine translation, POS tagging, text summarization and etc.
We present a hybrid approach for Urdu sentence boundary disambiguation comprising of unigram statistical model and rule based algorithm.
After implementing this approach, we obtained 99.48 % precision, 86.35 % recall and 92.45 % F1-Measure while keeping training and testing data different from each other, and with same training and testing data, we obtained 99.36 % precision, 96.45 % recall and 97.89 % F1-Measure.
American Psychological Association (APA)
Rahman, Zobia& Anwar, Waqas. 2012. A hybrid approach for urdu sentence boundary disambiguation. The International Arab Journal of Information Technology،Vol. 9, no. 3, pp.250-255.
https://search.emarefa.net/detail/BIM-305255
Modern Language Association (MLA)
Rahman, Zobia& Anwar, Waqas. A hybrid approach for urdu sentence boundary disambiguation. The International Arab Journal of Information Technology Vol. 9, no. 3 (May. 2012), pp.250-255.
https://search.emarefa.net/detail/BIM-305255
American Medical Association (AMA)
Rahman, Zobia& Anwar, Waqas. A hybrid approach for urdu sentence boundary disambiguation. The International Arab Journal of Information Technology. 2012. Vol. 9, no. 3, pp.250-255.
https://search.emarefa.net/detail/BIM-305255
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 255
Record ID
BIM-305255