Improve accuracy of Parts of Speech tagger for Gujarati language
| Author(s) | : | Sirajuddin Y. Hala, Sagar H. Virani |
| Institution | : | Department of Computer Engineering, VVP Engineering College, Rajkot |
| Published In | : | Vol. 2, Issue 5 — May 2015 |
| Page No. | : | 187-192 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Parts-of-Speech (POS) tagging is a technique for annotation of lexical categories to every word in inputsentence. POS tagging is widely used for linguistic analysis of input text. It is very essential task and preprocessing stepfor all the natural language processing activities. A POS tagger takes a sentence from input data and assigns a uniqueparts of speech tag to each lexical item of the sentence. Parts-of-Speech (POS) tagger has been developed for manylanguages as a part of Natural Language Processing. Till now many POS Taggers are available for Indian Languageslike Hindi, Bengali, Tamil, Telugu, Malayalam, and Panjabi etc. Gujarati is a resource poor Indo-Aryan Language onwhich very less languages processing work is done. Very fewer tools are available for language processing on Gujarati.The main concern of developing POS tagger for any Language is to imp rove accuracy of tagging and remove ambiguityin sentences due to language structure. This work focuses on developing Parts of Speech Tagger for Gujarati Language.
Sirajuddin Y. Hala, Sagar H. Virani, “Improve accuracy of Parts of Speech tagger for Gujarati language”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 187-192, May 2015.
