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Browsing International Conference on Computer Applications (ICCA) by Title

Browsing International Conference on Computer Applications (ICCA) by Title

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  • Music Searching and Browsing using Time-frequency Dictionaries 
    Thu, Soe Myat (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Nowadays, music searching and browsing are becoming very important as the huge amount of music are accessible over the Internet. Music recommender systems are essential especially for searching and browsing music ...
  • A Music Similarity Function Based On Time-Frequency Analysis and Pyramid Kernel 
    Thu, Soe Myat (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    In this paper, content-based music similarity function from acoustic music signal in an efficient way is considered. This function is to determine similarities among songs, particularly, a piece of input music ...
  • Myanmar Character Hiding into BMP Image Based on Hexadecimal-Digits Representation 
    Ko, Aye Chan; Aung, Nay Aung (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Steganography is the approach for hiding any secret message in a variety of multimedia carriers like text, images, audio or video files. Whenever hiding a secret message, it is very important to make it invisible. This ...
  • 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 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 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 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 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 ...
  • Myanmar Traditional Lexicographic Sorting 
    Phyu, Myat Sapal; Thant, Win Win; Zin, Thet Thet (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Lexicographic sorting is the task of arranging an unordered collection of words into increasing or decreasing order.The main objective of this paper is to develop Myanmar lexicographic sorting method in Myanmar traditional ...
  • Myanmar Web Pages Indexer with an Enhanced Dictionary 
    Mon, Pann Yu; Mikami, Yoshiki (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    With the enormous growth of the World Wide Web, Search engines or Information Retrieval (IR) play a critical role in retrieving information from the borderless Web. Although many search engines are available for the ...
  • Myanmar Word Sense Disambiguation based on Mutual Information 
    Wai, Phyo Phyo (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Natural language translation is one of the most important researches carried out in the world of Artificial Intelligent. In any application where a computer has to process natural language, ambiguity is a problem. Many ...
  • Myanmar-English Bidirectional Machine Translation System by Using Transfer Based Approach 
    Win, Yin Yin; Nwe, Tin Htar (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    This paper presents the development of bidirectional machine translation system of Myanmar- English. This Machine Translation system is based on Transfer Based Approach. It contains three stages: (1) source sentence ...
  • 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 ...

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