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Browsing International Conference on Computer Applications (ICCA) by Author "Pa, Win Pa"

Browsing International Conference on Computer Applications (ICCA) by Author "Pa, Win Pa"

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  • Analysis of Word Vector Representation Techniques with Machine-Learning Classifiers for Sentiment Analysis of Public Facebook Page’s Comments in Myanmar Text 
    Aung, Hay Mar Su; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    This paper presents a study of comparison on three different machine learning techniques to sentiment analysis for Myanmar language. The fundamental part of sentiment analysis (SA) is to extract and identify the ...
  • 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 ...
  • BMISEC:Corpus Of Burmese Emotional Speech 
    Mar, Lwin Lwin; Pa, Win Pa; Nwe, Tin Lay (ICCA, 2021-02-25)
    Speech is the most popular method of communication and emotions play an important role in human to human communication. For naturalness in human to machine communication, machine needs to understand human emotions well. ...
  • Building Annotated Image Dataset for Myanmar Text to Image Synthesis 
    Htwe, Nan Kham; Pa, Win Pa (ICCA, 2021-02-25)
    Text to image synthesis is the translation of images from the input language text. The learning process can become easier when the spoken words can visualize with the images. It is one of the popular research field in ...
  • 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 ...
  • Building Speaker Identification Dataset for Noisy Conditions 
    Phyu, Win Lai Lai; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Speech signal processing plays a crucial role in any speech-related system whether Automatic Speech Recognition or Speaker Recognition or Speech Synthesis or something else. Burmese language can be considered as an ...
  • 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 ...
  • Generating Myanmar News Headlines using Recursive Neural Network 
    Thu, Yamin; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Text summarization in the form of Headline prediction for written articles becomes a popular research recently. This paper presents a headline prediction model using Recursive Recurrent Neural Network (Recursive RNN) ...
  • Improving Myanmar Image Caption Generation Using NASNetLarge and Bi-directional LSTM 
    Aung, San Pa Pa; Pa, Win Pa; Nwe, Tin Lay (ICCA, 2021-02-25)
    The main objective of this paper is to improve the automatic Myanmar captions by learning the contents of images using NASNetLarge and Bi-LSTM model. Describing the contents of an image is a complex task for machine without ...
  • Myanmar News Retrieval in Vector Space Model using Cosine Similarity Measure 
    Oo, Hay Man; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Information Retrieval (IR) is an effective means of retrieving the best relevant document to user query. Nowadays, the problem of documents similarity deals with IR is retrieving required information from a large amount ...
  • Myanmar Spelling Correction Based On N-grams Model 
    Win, Thazin; Pa, Win Pa (ICCA, 2021-02-25)
    This paper describes Myanmar spelling correction intended for real-word errors and non-word errors. There are three main modules in this paper. They are error detection,candidates generation, error correction. Dictionary ...
  • MyanmarBERT:Myanmar Pre-trained Language Model using BERT 
    Win, Saw; Pa, Win Pa (ICCA, 2021-02-25)
    Myanmar language is a low-resource language as well as obtaining large-scale cleaned data for natural language processing(NLP) tasks, it is challenging and expensive with the progress in NLP. Deep learning has boosted the ...
  • 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 ...
  • Time Delay Neural Network for Myanmar Automatic Speech Recognition 
    Aung, Myat Aye Aye; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Time Delay Neural Network (TDNN) contains in neural network architectures. In Automatic Speech Recognition, TDNN is strong possibility in context modeling and recognizes phonemes and acoustic features, independent of ...
  • 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 ...
  • Word-based Myanmar Text-to-Speech with CLUSTERGEN 
    Hlaing, Aye Mya; Pa, Win Pa (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In Myanmar language, word information is important for the naturalness of Myanmar speech because pronunciation changes depend on word information. In this paper, Myanmar speech synthesis with word information has ...

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