Natural Language Processing

In this globalization age, to go over language barrier, language processing is becoming more and more important. As globalization effort is essential for Myanmar, localization is also important and it cannot be left behind. In searching and sorting, the importance of localization can be seen clearly as Myanmar is distinct from other languages.

Natural Language Processing Research Team was started in 2010 under the guidance of Ministry of Science and Technology. The initial objective of this research team is to develop a “Myanmar to English Translation System”. There are totally eight portions to be developed in this project.

  • To build Bilingual Lexicon and Myanmar Word Net
  • To create Spelling Checking System
  • To create Name Identification System to identify the name of (person, organization, places)
  • To create POS Tagging System
  • To create Noun Phrase Identification System
  • To create Verb Phrase Identification System
  • To create Word Sense Disambiguation System
  • To create Reordering of Myanmar to English Translation System

Publications of Related Research

  • “Myanmar Word Segmentation Using Statistical Approach”, Proceeding of 2010 International Conference on Advanced Computer Technology and Engineering (ICACTE 2010), China, 20-22 August 2010.
  • “A Hybrid Approach for Part of Speech Tagging of Burmese Texts”, International Conference on Computer and Management (CAMAN 2011), ISBN:978-1-4244-9282-4, May 2011,Wuhan, China.
  • “Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text”, Volume II, Issue VI , International Journal of Computational Linguistics and Natural  Language Processing, ISSN 2279-0756, June 2013, India.
  • “Name Entity Transliteration in Myanmar Text”, International Journal of Computational Linguistics and Natural Language Processing (IJCLNLP),May 2013, India
  • “Machine Transliteration by Different Methods, The International Symposium on Society, Tourism, Education and Politics, September 13-15, 2013,Singapore
  • “Proposed Myanmar Word Tokenizer Based on LIPIDIPIKAR Treatise”, ICCET (International Conference on Computer Engineering and Technology) April 16-18(2010) Chengdu, Sichuan
  • “Words to Phrase Reordering Machine Translation System in Myanmar-English”, 3rd International Conference on Computer Research and Development (ICCRD-2011), March 11-13,2011, Shanghai, China(IEEE)
  • “Sentence Level Reordering System for Myanmar-English Machine Translation System”, International Journal of Computational Linguistics and Natural Language Processing (IJCNLP)Vol 2 Issue 5 May 2013 ISSN 2279-0756
  • “Syntactic Reordering Approach for Myanmar to English Machine Translation system”, The International Symposium on Society, Tourism, Education and Politics, Singapore, September 13-15, 2013
  • “Myanmar to English Verb Translation Disambiguation Approach based on Naïve Bayesian Classifier”, Proceedings of the 10th International Conference on Computer Research and Development (ICCRD), ICCRD 2011, March  11th – 13th , 2011, Shanghai, China.
  • “Supervised Word Sense Disambiguation for Myanmar using Joint Entropy”, International Association of Academicians and Researchers (INAAR) 2013, March 5th -6th  ,2013. First Hotel, Bangkok.
  • Proposed Framework of Rule-based Grammar Checker for Myanmar Language, 14th International Conference on Computer Applications (ICCA 2016), Feb, 2016
  • Proposed Framework of Rule-based Grammar Checker for Myanmar Language, Proceedings of the 14th International Conference on Computer Applications (ICCA 2016), February 25_26, 2016, pp. 345-351.
  • Finite-state Approach based Myanmar Morphological Analysis, 15th International Conference on Computer Applications (ICCA 2017), Feb, 2017
  • A Lexicon Based Sentiment Analyzer Framework for Student-Teacher Textual Comments, International Journal of Scientific and Research Publications (IJSRP), Feb, 2016
  • Lexicon Based Sentiment Analysis of Students’ Feedback Comments, 15th International Conference on Computer Applications (ICCA 2017), Feb, 2017
  • Sentiment Analysis of Students’ Comment Using Lexicon Based Approach, 16th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2017), May, 2017