POS Tagging of Assamese Language and Performance Analysis of CRF++ and fnTBL Approaches

Author

Barman, A.K. ; Sarmah, J. ; Sarma, S.K.

Author_Institution

Dept. of Inf. Technologv, Gauhati Univ., Guwahati, India

fYear

2013

fDate

10-12 April 2013

Firstpage

476

Lastpage

479

Abstract

Assamese is one of the regional languages of India spoken by the people of Assam and other north eastern states of India. Parts Of Speech (POS) tagging is one of the most important research issue as it is the basic need for any Natural Language Processing (NLP). An automated way to provide a Parts Of Speech label to a word on a context is known as Parts Of Speech Tagging. Assamese is one, among the less computationally aware languages of India. This paper presents our works on POS tagging for Assamese sentences, using Conditional Random Field (CRF) and Transformation Based Learning (TBL). We obtain 87.17 and 67.73 percent tagging accuracy for TBL and CRF respectively that are train through a manually tagged corpus.

Keywords

learning (artificial intelligence); natural language processing; random processes; Assamese language; Assamese sentences; CRF++; NLP; POS label; POS tagging; computationally aware languages; conditional random field; fnTBL approaches; natural language processing; north eastern states; parts of speech tagging; performance analysis; regional languages; transformation based learning; Bismuth; Computational modeling; Computers; Assamese; CRF; POS tagging; TBL;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on

Conference_Location

Cambridge

Print_ISBN

978-1-4673-6421-8

Type

conf

DOI

10.1109/UKSim.2013.91

Filename

6527464