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Part of Speech Tagging of Punjabi Language using N Gram Model
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 19
Year of Publication: 2014
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10.5120/17634-8229 |
{bibtex}pxc3898229.bib{/bibtex}
Abstract
POS tagger is the process of assigning a correct tag to each word of the sentence. We attempted to improve the accuracy of existing Punjabi POS tagger. This POS tagger lacks in resolving the ambiguity of a no of words as it uses only hand written Rules. A Bi-gram Model has been used to solve the part of speech tagging problem. An annotated corpus was used for training and estimating of bi gram probabilities.
References
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