An artificial neural network approach for sentence boundary disambiguation in urdu language text
Joint Authors
Rahman, Zobia
Anwar, Waqas
Raj, Shadha
Rauf, Sonia
Siddique, Rehana
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 4 (31 Jul. 2015)7 p.
Publisher
Publication Date
2015-07-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Topics
Abstract EN
Sentence boundary identification is an important step for text processing tasks, e.g., machine translation, POS tagging, text summarization etc., in this paper we present an approach comprising of feed forward neural network along with part of speech information of the words in a corpus.
Proposed adaptive system has been tested after training it with varying sizes of data and threshold values.
The best results, our system produced are 93.05 % precision, 99.53 % recall and 96.18 % fmeasure.
American Psychological Association (APA)
Raj, Shadha& Rahman, Zobia& Rauf, Sonia& Siddique, Rehana& Anwar, Waqas. 2015. An artificial neural network approach for sentence boundary disambiguation in urdu language text. The International Arab Journal of Information Technology،Vol. 12, no. 4.
https://search.emarefa.net/detail/BIM-431282
Modern Language Association (MLA)
Raj, Shadha…[et al.]. An artificial neural network approach for sentence boundary disambiguation in urdu language text. The International Arab Journal of Information Technology Vol. 12, no. 4 (Jul. 2015).
https://search.emarefa.net/detail/BIM-431282
American Medical Association (AMA)
Raj, Shadha& Rahman, Zobia& Rauf, Sonia& Siddique, Rehana& Anwar, Waqas. An artificial neural network approach for sentence boundary disambiguation in urdu language text. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 4.
https://search.emarefa.net/detail/BIM-431282
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-431282