UCSY's Research Repository

Browsing Faculty of Computer Science by Author "Pa, Win Pa"

Browsing Faculty of Computer Science by Author "Pa, Win Pa"

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  • Analysis of Feature Extraction Techniques for Myanmar Automatic Speech Recognition 
    Aung, Myat Aye Aye; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic Speech Recognition (ASR) system is to accurately and efficiently convert speech signal into a text message independent of device, speaker or the environment. Feature extraction is the second component of ...
  • Automatic Mining of Verb Affixes for Myanmar Language with Unsupervised learning by using N-Grams 
    Than, Shalle Soe; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A separable verb is a verb that is composed of a verb stem and a separable affix which is called verb affixes. Mining of verb affixes is to extract the various forms of verb affixes from any Myanmar sentences. A Method ...
  • Automatic Speech Recognition on Spontaneous Interview Speech 
    Naing, Hay Mar Soe; Pa, Win Pa (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper presents a spontaneous speech recognition system for Myanmar language. Automatic speech recognition (ASR) on some controlled speech has achieved almost human performance. However, the performance of spontaneous ...
  • Building HMM-SGMM Continuous Automatic Speech Recognition on Myanmar Web News 
    Mon, Aye Nyein; Pa, Win Pa; Thu, Ye Kyaw (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Myanmar language is a tonal and analytic language. It can be considered as an under-resourced language because of its linguistic resource availability. Therefore, speech data collection is a very challenging task in ...
  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • Comparative Study of Decision Tree Algorithms: ID3 and CART 
    Thu, Su Myat; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of data objcts based on a predefined knowledge of the objects is a data mining and knowledge management techniques used grouping similar data objects together. It can be defined as supervised learning ...
  • Comparison of Boosted C5 over ID3 and C4.5 Abdominal Pain Problem 
    Aye, Hnin Nwe; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification can be used as in the form of data analysis that can be used to extract models describing the important data classes. This aim of this paper is to exmaine the performance of decision tree algorithms. ...
  • Decision Support System for Taking Actions to Staffs Using Cased Based Reasoning 
    Aye, Khaing Zar; Pa, Win Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A decision support system a case-base of previously taken actions and a record of previous taking action processes can assist Administrators in deciding and solving problem cases of staffs in new cases. This system suggests ...
  • Dependency Head Annotation for Myanmar Dependency Treebank 
    Aye, Hnin Thu Zar; Pa, Win Pa (Special Issue on Multidisciplinary Sciences and Engineering in Advances in Science, Technology and Engineering Systems Journal, 2020-11)
    Complete manual annotation of dependency treebank needs resources like annotators and annotation tools and takes long time and has high possibility of inconsistent annotations for free word order languages such as Myanmar. ...
  • Depression Detection from Speech Emotion Recognition 
    Mar, Lwin Lwin; Pa, Win Pa (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    The recognition of the internal emotional state of a person plays an important role in several humanrelated fields. Emotions constitute an essential part of our existence as it exerts great influence on the physical ...
  • English-to-Myanmar Statistical Machine Translation Using a Language Model on Part-of-Speech in Decoding 
    Aye, Hnin Thu Zar; Ding, Chenchen; Pa, Win Pa; Nwet, Khin Thandar; Utiyama, Masao; Sumita, Eiichiro (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    In this study, we investigate English-to-Myanmar statistical machine translation (SMT) by using part-of-speech (POS) as linguistic inform-ation which is valuable for statistical machine translation systems to extract ...
  • Health Care System for Lung Disease Classification using Modified Gini 
    Wai, Tin Yu; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the process of analyzing data from different prespectives and summarizing it into useful information. Classification has been used for predicting medical diagnosis. Human experts in medical field are frequently ...
  • Morphological Analysis of Myanmar Language by using Support Vector Machine 
    Htun, Thet Thet; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In a variety of Natural Language Processing (NLP) tasks, the words syntactic categories or Part of Speech (POS) tagging is the necessary process for Myanmar to other languages machine translation system. Morphologica ...
  • A Myanmar Large Vocabulary Continuous Speech Recognition System 
    Naing, Hay Mar Soe; Hlaing, Aye Mya; Pa, Win Pa; Hu, Xinhui; Thu, Ye Kyaw; Hori, Chiori; Kawai, Hisashi (APSIPA Annual Summit and Conference 2015, 2015-12-16)
    This paper presents a large vocabulary automatic speech recognition (ASR) system for Myanmar.
  • Myanmar Part Of Speech Tagging using Backpropagation Neural Network 
    Hnin, Hay Mar; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    POS tagging is the process of automatic assigning a for each word with their categories that best suits the definition of the word as well as the context of the sentence of a natural language in which it is used. It ...
  • String to Tree and Tree to String Statistical Machine Translation for Myanmar Language 
    Thu, Ye Kyaw; Pa, Win Pa; Finch, Andrew; Sumita, Eiichiro; Htike, Khin War War (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    This paper contributes the first published evaluation of the quality of string-to-tree (S2T) and tree-to-string (T2S) statistical machine translation methods between Myanmar and Chinese, English, French, German in ...
  • Syllable Pronunciation Features for Myanmar Grapheme to Phoneme Conversion 
    Thu, Ye Kyaw; Pa, Win Pa; Finch, Andrew; Hlaing, Aye Mya; Naing, Hay Mar Soe; Sumita, Eiichiro; Hori, Chiori (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Grapheme-to-Phoneme (G2P) conversion is a necessary step for speech synthesis and speech recognition. This paper addresses the problem of grapheme to phoneme conversion for the Myanmar language. In our method, we propose ...
  • Towards Burmese (Myanmar) Morphological Analysis: Syllable-based Tokenization and Part-of-speech Tagging 
    Ding, Chen Chen; Aye, Hnin Thu Zar; Pa, Win Pa; Nwet, Khin Thandar; Soe, Khin Mar; Utiyama, Masao; Sumita, Eiichiro (ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) Journal, 2019-06)
    This article presents a comprehensive study on two primary tasks in Burmese (Myanmar) morphological analysis: tokenization and part-of-speech (POS) tagging. Twenty thousand Burmese sentences of newswire are annotated ...
  • Unsupervised Dependency Corpus Annotation for Myanmar Language 
    Aye, Hnin Thu Zar; Pa, Win Pa; Thu, Ye Kyaw (21st International Conference of Oriental COCOSDA (2018), 2018)
    Dependency parsing can provide the connection of linguistic unit (words) by a directed links. This paper presents annotating a general domain corpus by using unsupervised approach by applying Universal part-of-speech ...
  • Unsupervised Dependency Parsing for Myanmar Language using Part-of-Speech Information 
    Aye, Hnin Thu Zar; Pa, Win Pa; Thu, Ye Kyaw (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In this paper, we present the preliminary experiments of unsupervised dependency parsing on raw segmented and part-of-speech (POS) tagged corpus of Myanmar language. This experiment is aimed to support building treebank ...

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