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Browsing International Conference on Computer Applications (ICCA) by Author "Soe, Khin Mar"

Browsing International Conference on Computer Applications (ICCA) by Author "Soe, Khin Mar"

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  • Ambiguous Myanmar Word Disambiguation for Myanmar-English Machine Translation 
    Aung, Nyein Thwet Thwet; Soe, Khin Mar; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Word Sense Disambiguation (WSD) has always been a key problem in Natural Language Processing. WSD is defined as the task of finding the correct sense of a word in a specific context. There is not any cited work for ...
  • Automatic Myanmar News Classification 
    Nwet, Khin Thandar; Khine, Aye Hnin; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Text classification is one of the major tasks of natural language processing and included in the interesting research areas of text data mining, which is about looking for patterns in natural language text. This ...
  • Automatic Myanmar Text Summarization System 
    Soe, Khin Mar; Htay, Hla Hla; Kyaw, Win Thuzar (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Automatic text summarization is used as a tool to help people in reducing the time spent manually extracting the main ideas from text documents. If the natural disaster news is provided as the summary form including important ...
  • Clustering Analogous Words in Myanmar Language using Word Embedding Model 
    Mon, Aye Myat; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Word embedding represents the words in terms of vectors. It is influenced on different NLP research areas such as document classification, author identification, sentiment analysis, etc. One of the most popular embedding ...
  • A Comparison of Naïve Bayesian and Nearest Neighbor Cosine Classifiers for Myanmar Word Sense Disambiguation 
    Aung, Nyein Thwet Thwet; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper presents Word Sense Disambiguation for Myanmar Language. Word Sense Disambiguation (WSD) is an intermediate but an important step in Natural Language processing. WSD is defined as the task of finding the ...
  • Detection and Suggestion English Grammar Errors for MyanmarEnglish Machine Translation System 
    Lin, Nay Yee; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper presents a system for detection and suggestion English grammar errors in Myanmar-English statistical machine translation system. There are very few spelling errors in the translation output, because all words ...
  • Exploring Features for Myanmar Named Entity Recognition 
    Mo, Hsu Myat; Nwet, Khin Thandar; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Named Entity Recognition (NER) is the task of classifying or labeling atomic elements in the text into predefined sets of named entity categories such as Person, Location, Organization or Number. NER is also a crucial ...
  • Improving English-to-Myanmar Statistical Machine Translation by using Recurrent Neural Network Language Model and Hierarchical Reordering 
    Zin, May Myo; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    In this paper, a comparison between neural based network that adopts Recurrent Neural Network (RNN) language model and statistical based one with N-gram language model is conducted for English-to- Myanmar phrase-based ...
  • Improving Statistical Myanmar to English Machine Translation through Morphological Analysis 
    Zin, Thet Thet; Soe, Khin Mar; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    In this paper, we present a translation model of Myanmar phrases for statistical machine translation. Phrase based SMT models have limitations in mapping from the source to target language without using linguistic ...
  • Joint Word Segmentation and Part-of-Speech (POS) Tagging for Myanmar Language 
    Cing, Dim Lam; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks in natural language processing (NLP). The POS information is also necessary in NLP based applications such as machine translation (MT), information ...
  • Joint Word Segmentation and Part-of-Speech (POS) Tagging for Myanmar Language 
    Cing, Dim Lam; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In natural language processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP- based applications such as machine translation (MT), information ...
  • Joint Word Segmentation and Stemming for Myanmar Language Based on Conditional Random Fields 
    Oo, Yadanar; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In this paper, we describe a joint work on word segmentation and stemming of Myanmar sentences with syllabled-based tagging under Conditional Random Fields(CRF) framework. A manuallysegmented corpus was developed to ...
  • Lexicalized Reordering Models for English-Myanmar Phrase-based Statistical Machine Translation 
    Nyein, May Kyi; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Reordering is extremely desirable for translation accuracy when translating between high disparity language pairs in word order. The aim of this paper is the comparative study of lexicalized reordering models (LRM) by ...
  • Modifying NOVA-annotated Myanmar Data to Universal Part-of-Speech Tagset 
    Yee, Sann Su Su; Ding, Chenchen; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    We present our work for morphological annotation on Myanmar part of the Asian Language Treebank project. Former NOVA annotation is a feasible and flexible annotation system for joint tokenization and POS tagging for ...
  • Myanmar Dialogue Act Recognition (MDAR) 
    Yee, Sann Su Su; Soe, Khin Mar; Thu, Ye Kyaw (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    This research aim to make the very first machine learning based Myanmar Dialog Act Recognition (MDAR) for Myanmar Dialogue System. As we know, Dialog Act (DA) recognition is the early level of dialogue understanding ...
  • Myanmar Phrase Translation for Myanmar-English Machine Translation System 
    Zin, Thet Thet; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In statistical machine translation (SMT), the currently best performing systems are based in some way on phrases or word groups. In this paper, phrase-based translation system is described. Translation model and ...
  • Neural Machine Translation between Myanmar (Burmese) and Dawei (Tavoyan) 
    Oo, Thazin Myint; Thu, Ye Kyaw; Soe, Khin Mar; Supnithi, Thepchai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    This work explores the first evaluation of the quality of neural machine translation between Myanmar (Burmese) and Dawei (Tavoyan). We also developed Myanmar-Dawei parallel corpus (around 9K sentences) based on the ...
  • Reordering Model with Recurrent Neural Networks for Myanmar- English Statistical Machine Translation 
    Nyein, May Kyi; Soe, Khin Mar (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Word reordering is a problematic issue for language pairs with significantly different word orders, such as the translation between a subject-verb-object (SVO) language and a subject-object-verb (SOV) language. When ...
  • Sentence and Word Alignment System for Myanmar-English Machine Translation 
    Nwet, Khin Thandar; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper describes an alignment system that aligns Myanmar-English texts at the sentence and word level in parallel text. Sentence and word level alignment is the identification of the corresponding sentence and word ...
  • Statistical Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese) 
    Oo, Thazin Myint; Thu, Ye Kyaw; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper contributes the first evaluation of the quality of machine translation between Myanmar (Burmese) and Rakhine (Arakanese). We also developed a Myanmar-Rakhine parallel corpus (around 18K sentences) based on the ...

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