Morpheme Based Myanmar Word Segmenter

Hanni Htun; Myat Myo Nwe Wai; Sin Thi Yar Myint

Title:
Morpheme Based Myanmar Word Segmenter

Authors:
Sin Thi Yar Myint | Hanni Htun | Myat Myo Nwe Wai

Cite This Article :

Sin Thi Yar Myint | Hanni Htun | Myat Myo Nwe Wai "Morpheme Based Myanmar Word Segmenter" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.911-914, URL: https://www.ijtsrd.com/papers/ijtsrd26520.pdf

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Abstract :
Myanmar script has no fixed delimiters between words or syllables. Therefore, to achieve meaningful and correct segmented words from the text is a challenging task. This paper has proposed a morpheme-based Myanmar word tokenizer which combines rule-based syllable breaking and dictionary lookup syllable merging methods with longest string matching approach. The proposed approach is tested on a Monolingual dictionary that contains useful information for the word segmentation. It also contains above 32,581 words including headwords, stop words and essential words with Myanmar3 font. These words are collected from Myanmar and Essential Words dictionaries. According to the experimental results, it can provide the promising segmentation accuracy of Myanmar text.

Keywords :
Syllable breaking; Morpheme; style; styling

Publication Details:

Unique Identification Number : IJTSRD26520

Published In : Volume-3 | Issue-5, August 2019

Page Number(s) : 911-914

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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