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  • Myanmar Compound Word Errors Detection and Suggestion Generation 
    Mon, Aye Myat; Thein, Thandar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02)
    In Myanmar Language, Pronunciation and orthography has differences because spelling is often not an accurate reflection of pronunciation. Pronunciation of a word may lead to misspelling. In this paper, we present Myanmar ...
  • 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 ENTITY IDENTIFICATION FOR NATURAL LANGUAGE UNDERSTANDING USING BIDIRECTIONAL LONG SHORT TERM MEMORY (BiLSTM) 
    PHWAY, SAUNG THAZIN (University of Computer Studies, Yangon, 2023-01)
    Entity identification is an exacting function which has commonly appropriate broad chunk of awareness in the course of feature engineering and word list to attain great achievement.. Entity Identification (EI) is indispensable ...
  • Myanmar Handwritten Recognition and Erratum Detection by using MICR 
    Yee, San Su Su; Thein, Yadana (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper contribute recognition and detection erratum for Myanmar handwritten compound words. MICR (Myanmar Intelligent Character Recognition) is used for the character recognition. Because this method is interesting ...
  • Myanmar Homonym Disambiguation System 
    Hlaing, Zar Zar; Thida, Aye (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Natural Language Processing (NLP) is one of the most important research areas in Human Language. One of the challenges in Natural Language Processing (NLP) is to resolve ambiguous homonyms or homonym errors in sentences. ...
  • Myanmar Language Continuous Speech Recognition Using Convolutional Neural Network (CNN) 
    Mon, Aye Nyein (University of Computer Studies, Yangon, 2019-01)
    Researchers of many nations have developed automatic speech recognition (ASR) to show their national improvement in information and communication technology for their languages. The dissertation aims to develop good ...
  • 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 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 Noun Phrase Identification System for Myanmar to English Translation 
    Aung, Myintzu Phyo (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Noun Phrase Identification is one of the most critical components of natural language processing because information retrieval systems of all kinds rely on base-noun phrase as their primary source of entity ...
  • 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 ...
  • 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 ...
  • Myanmar Portable Document Format Recognition with Formatting 
    Maung, Cherry; Thein, Yadana (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper contributes Myanmar Printed Character Recognition with format. This system consist recognition and formatting. It recognizes for Myanmar Portable Document Format (.pdf) such as font size, font style, alignment ...
  • Myanmar Portable Document Format Recognition with Formatting 
    Maung, Cherry; Thein, Yadana (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper contributes Myanmar Printed Character Recognition with format. This system consist recognition and formatting. It recognizes for Myanmar Portable Document Format (.pdf) such as font size, font style, alignment ...
  • MYANMAR SIGN LANGUAGE RECOGNITION SYSTEM USING SUPPORT VECTOR MACHINE(SVM) AND KERNEL PRINCIPAL COMPONENT ANALYSIS(KPCA) 
    KHAING, EAINT THU THU (University of Computer Studies, Yangon, 2022-12)
    Sign Language is the essential language for deaf and dumb people. It is a non verbal language used by people with speech and hearing disabilities for communication. Only a few people can use sign language proficiently ...
  • Myanmar Spam Filtering based on Naïve Bayesian Learning Algorithm (MSFNBLA) 
    Nyo, Nyein Nyein; Kyaw, Thae Naw Naw (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Spam is one of the main problems in e-mails communication. Naïve Bayesian (NB) learning is useful algorithm for constructing Myanmar spam corpus (SCorpus) from pre-defined spam and ham e-mails. SCorpus is built on ...
  • Myanmar Spam Filtering using Bayesian Model 
    Kyaw, Thae Naw Naw; Myo, Nyein Nyein (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Internet has become rich of information. This information should be properly managed. Electronic mail (E-mail) has become a major problem for internet users and providers. People are using e-mail services but most of ...
  • Myanmar Speech Classification Using Transfer Learning for Image Classification 
    Khin, Ou Ou; Thu, Ye Kyaw; Sakata, Tadashi; SAGISAKA, Yoshinori; Ueda, Yuichi (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In this paper, our research on speech classification using an image classification approach is discussed for the Myanmar language. We tested the method for Myanmar consonants, vowels, and words, on our recorded database ...
  • 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 ...
  • Myanmar Summarized Text with Verb Frame Resource 
    Naing, May Thu; Thida, Aye (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    In today’s era, when the size of information and data is increasing exponentially, there is an upcoming need to create a concise version of the information available. This paper presents a summary generation system ...
  • Myanmar Syllable Suggestion Input Method on Android Smart phone 
    Oo, Nandar Pwint; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    It has been understood that text entry on mobile phone can only be speed up with the aid of prediction mechanism. This paper proposed intelligent syllable prediction Input Method Editor (IME) for Android touch screen ...

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