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Comparison of Unigram, Bigram, HMM and Brill's POS tagging approaches for some South Asian languages

Show simple item record Hasan, Muhammad Fahim Naushad UzZaman Khan, Mumit 2010-10-05T05:03:09Z 2010-10-05T05:03:09Z 2007 2007
dc.description Includes bibliographical references (page 6-8).
dc.description.abstract Part-of-Speech (POS) Tagging is a process that attaches each word in a sentence with a suitable tag from a given set of tags. POS Tagging is important in various areas of Natural Language Processing. Different methods of automating the process have been developed and employed for English and other Western languages. Some similar work, most of which utilize the stochastic approaches for POS Tagging has also been done in the same area for South Asian languages. We experimented with some of the widely-used approaches for POS Tagging on three South Asian languages, Bangla, Hindi and Telegu, using corpora of different sizes. We observed the performance of the approaches and found the Brill’s transformation based tagger’s performance to be superior to the other approaches in all of our experiments, though the use of this approach has been very limited until recently. en_US
dc.description.statementofresponsibility Fahim Muhammad Hasan
dc.description.statementofresponsibility Naushad UzZaman
dc.description.statementofresponsibility Mumit Khan
dc.format.extent 8 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.subject Part-of-speech tagging
dc.subject Language processing
dc.title Comparison of Unigram, Bigram, HMM and Brill's POS tagging approaches for some South Asian languages en_US
dc.type Article en_US
dc.contributor.department Center for Research on Bangla language Processing (CRBLP), BRAC University

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