Part of speech tagging using hidden markov model and viterbi algorithm
Author
Source
Issue
Vol. 7, Issue 4 (30 Sep. 2012)9 p.
Publisher
University of Thi-Qar Research and Development Department
Publication Date
2012-09-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Languages & Comparative Literature
Topics
Abstract EN
Part-of-Speech tagging is the process of assigning parts of speech (or other classifiers) to the words in a text.
In this research, we introduce a tagging algorithm for English sentences based on Viterbi Algorithm and Hidden Markov Model.
In traditional part-of-speech taggers, the calculations requires (2T+1)* NT + 1 multiplications if we used the direct computation.
After enhancing the method of calculating, we get the optimal tags sequence by just 2N2T multiplications.
American Psychological Association (APA)
Jabbar, Uhud Hadi. 2012. Part of speech tagging using hidden markov model and viterbi algorithm. University of Thi-Qar Journal،Vol. 7, no. 4.
https://search.emarefa.net/detail/BIM-333073
Modern Language Association (MLA)
Jabbar, Uhud Hadi. Part of speech tagging using hidden markov model and viterbi algorithm. University of Thi-Qar Journal Vol. 7, no. 4 (2012).
https://search.emarefa.net/detail/BIM-333073
American Medical Association (AMA)
Jabbar, Uhud Hadi. Part of speech tagging using hidden markov model and viterbi algorithm. University of Thi-Qar Journal. 2012. Vol. 7, no. 4.
https://search.emarefa.net/detail/BIM-333073
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-333073