Part-Of-Speech Tagging for Mizo Language Using Conditional Random Field

Authors

  • Morrel VL Nunsanga Mizoram University
  • Partha Pakray National Institute of Technology Silchar
  • C. Lallawmsanga Mizoram University
  • L. Lolit Kumar Singh Mizoram University

DOI:

https://doi.org/10.13053/cys-25-4-4044

Keywords:

Mizo POS tagging, conditional random field, mizo part of speech tagger, computational linguistics

Abstract

Part of speech (POS) tagging assigns a class or tag to each token in a sentence. The tag allocated to a word is mainly its part of speech or any other class of interest. Several applications of Natural Language Processing (NLP) require it as a prerequisite. The development of part-of-speech tagging for the under-resourced Mizo language is presented in this study, which makes use of a stochastic model known as Conditional Random Field (CRF). The CRF is a discriminative probabilistic classifier that considers both the context of a given word and the tag transition probabilities in the training dataset. A corpus of approximately 30,000 words was collected and manually annotated with the proposed tagset for system evaluation. On various sizes of training and test sets, the tagger achieved 89.46 % accuracy, 89.3 % F1-score, 89.42 % precision, and 89.48 % recall.

Author Biographies

Morrel VL Nunsanga, Mizoram University

Department of Information Technology

Partha Pakray, National Institute of Technology Silchar

Department of Computer Science and Engineering

C. Lallawmsanga, Mizoram University

Department of Information Technology

L. Lolit Kumar Singh, Mizoram University

Department of Electronics and Communication Engineering

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Published

2021-11-29

Issue

Vol. 25 No. 4 (2021): 25(4) 2021: Thematic Issue on Artificial Intelligence for Industry 4.0 (Guest Editors: O. Vergara et al.)

Section

Articles

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