Parts of Speech Tagging in Bengali for MWEs Detection
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10.5120/17485-8182 |
Md Jaynal Abedin and Bipul Syam Purkayastha. Article: Parts of Speech Tagging in Bengali for MWEs Detection. International Journal of Computer Applications 99(19):33-36, August 2014. Full text available. BibTeX
@article{key:article,
author = {Md Jaynal Abedin and Bipul Syam Purkayastha},
title = {Article: Parts of Speech Tagging in Bengali for MWEs Detection},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {99},
number = {19},
pages = {33-36},
month = {August},
note = {Full text available}
}
Abstract
Part of speech (POS) tagging is the process of assigning the part of speech tag to each and every word in a sentence. In many Natural Language Processing applications such as word sense disambiguation, information retrieval, information processing, parsing, question answering, MWEs detection and machine translation, POS tagging is considered as the one of the basic important tools. Identifying the ambiguities in language lexical items is based on the proper identification of Part of Sspeech (POS) tagging of that language which can enhance the language processing applications in different ways. This paper describes the POS tagset for Multiword Expressions Detection in Bengali (Bangla) which is also very important for many natural language processing (NLP) applications.
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