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Browsing Faculty of Computer Science Collection by Title

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  • Statistical Machine Translation between Myanmar and Myeik 
    Oo, Thazin Myint; Thu, Ye Kyaw; Soe, Khin Mar; Supnithi, Thepchai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    This paper contributes the first evaluation of the quality of machine translation between Myanmar and Myeik (also known as Beik) . We also developed a Myanmar-Myeik parallel corpus (around 10K sentences) based on the ...
  • Stochastic Context Free Grammar for Statistical Parsing of Myanmar Natural Language Processing 
    Aung, Myintzu Phyo; Aung, Ohnmar; Hlaing, Nan Yu; San, Thida; Moe, Zun Hlaing (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Parsing is breaking a sentence into its constituent nonterminal. Parsing of simple noun-phrase is useful in the study of artificial intelligence for various reasons, such as, for an index-term generation in an information ...
  • 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 ...
  • Structural Twig Hash Indexing Scheme for XML Twig Query 
    Thet, Yi Mon; Nyunt, Thi Thi Soe; Yuzana (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Since XML (eXtensible Markup) is the popular language for the data over the Internet, querying XML data is interested topic in research area. In order to efficiently process the XML query, indexing schemes are vital ...
  • Suggesting Mode of Delivery by Using Iterative Dichotomiser3 (ID3) Algorithm 
    Aye, Yin Mon; Nwe, Khine Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is a process that has a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. Classification is the process of finding a set of models that ...
  • 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 ...
  • Syllable-based Myanmar-English Neural Machine Translation 
    Sin, Yi Mon Shwe; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The paper presents the first large scale evaluation of the quality of Syllable-based Neural Machine Translation (Syllable-NMT) system for Myanmar-English pair. Neural Machine Translation (NMT) system has reached ...
  • Text Normalization and Classification System for Internet Forum 
    Htet, Ya Min; Nyunt, Thi Thi Soe (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Internet forum is one of the most common modes of knowledge sharing through text. An internet forum is an online discussion site. From a technical point of view, forums are web applications managing user-generated text ...
  • Token-Based Data Cleaning Technique for Job Assigning System 
    Hlaing, Yu Wai; Myo, Khin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The problem of detecting and eliminating duplicate data is one of the major problems in broad area of data cleaning and data quality. Data cleaning is the process of identifying and removing duplicates in the database. ...
  • 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 ...
  • Using a Grammar Checker for Detection Translated English Sentence 
    Lin, Nay Yee; Soe, Khin Mar; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Machine Translation Systems expect target language output to be grammatically correct within the frame of proper grammatical category. In Myanmar-English statistical machine translation system, the proposed system concerns ...
  • Using Ontology for Electronic Commerce System 
    Lwin, Hnin Thant; Mya, Aye Pa Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, information system has been developed and played key role in live of human beings. By applying the developme nt of information system, user can search the desired information from the inter net . However, user ...
  • Using Support Vector Machine for Music Genre Classification 
    Kyaw, Lett Yi; Renu (Second Conference on Applied Information and Communication Technology and The Technical Workshop(2009), 2009-09-29)
    Musical genres are commonly used to structure the increasing amounts of music available in digital form on the Web and are important for music/audio information retrieval. Genre categorization for music/audio has traditionally ...
  • Utilizing Computational Intelligence to Assist in Software Release Decision 
    Thwin, Mie Mie Thet; Quah, Tong Seng (Enginnering Letters, 2007-05)
    Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discovered in testing, software managers can ...
  • Web Content Classification using Content Features and Ant Colony Optimization Algorithm 
    Aye, Nilar; San, Pan Ei (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    The web content classification system classifies the noise or content from HTML web pages. The system proposes the Content Extraction algorithm using content features to remove the boilerplate and to extract the main ...
  • Web Document Clustering using Genetic Algorithm Based Fuzzy Clustering 
    Zin, May Tha; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Clustering is a typical unsupervised learning technique for grouping similar data points. In hard clustering, data is divided into distinct clusters, where each data element belongs to exactly one cluster. In fuzzy ...
  • Web Information Retrieval using Ontology for Dress 
    Aung, Nu Wai; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information retrieval (IR) is the area of study concerned with searching documents or information within documents. It is finding or discovery process to obtain relevant web pages from a collection of information ...
  • Web Page Categorization Based on Content and Data Extraction for Academic Community 
    Phyu, Sabai; Linn, Khaing Wah Wah (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    The web is a large amount of data and difficult to search information or data of user interest (IT academic field). Therefore, it needs to categorize for meet user’s interesting field easily. Web page categorization ...

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