UCSY's Research Repository

Browsing Faculty of Computer Science by Author "Soe, Khin Mar"

Browsing Faculty of Computer Science by Author "Soe, Khin Mar"

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  • Aung, Nyein Thwet Thwet; Soe, Khin Mar; Thein, Ni Lar (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    Word Sense Disambiguation (WSD) has always been a key problem in Natural Language Processing. WSD is defined as the task of finding the correct sense of a word in a specific context. There is not any cited work for ...
  • Phyo, Thazin; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    This paper is presented the mining association rules among items in a large database of sales transactions. The mining of association rules can be mapped into the problem of discovering large itemsets which appear in ...
  • Nwet, Khin Thandar; Khine, Aye Hnin; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Text classification is one of the major tasks of natural language processing and included in the interesting research areas of text data mining, which is about looking for patterns in natural language text. This ...
  • Soe, Khin Mar; Htay, Hla Hla; Kyaw, Win Thuzar (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Automatic text summarization is used as a tool to help people in reducing the time spent manually extracting the main ideas from text documents. If the natural disaster news is provided as the summary form including important ...
  • Dim Lam, Cing; Soe, Khin Mar (Proceedings of the 10th International Workshop on Computer Science and Engineering, 2020-02-28)
    In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation ...
  • Mon, Aye Myat; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Word embedding represents the words in terms of vectors. It is influenced on different NLP research areas such as document classification, author identification, sentiment analysis, etc. One of the most popular embedding ...
  • Aye, Thi Dar; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Association rule mining is a technique to find useful patterns and associations in transactional databases. The mining of association rules can be mapped into the problem of discovering large (frequent) itemsets where ...
  • Aung, Nyein Thwet Thwet; Soe, Khin Mar; Thein, Ni Lar (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    This paper presents Word Sense Disambiguation for Myanmar Language. Word Sense Disambiguation (WSD) is an intermediate but an important step in Natural Language processing. WSD is defined as the task of finding the ...
  • Mo, Hsu Myat; Nwet, Khin Thandar; Soe, Khin Mar (The Tenth International Conference on Genetic and Evolutionary Computing (ICGEC 2016), 2016-10-21)
    Named Entity recognition (NER) is a subtask of information extraction and information retrieval that automatically identify proper nouns in texts and classify into predefined categories of name types. This paper introduces ...
  • Maw, Yu Yu; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Data deduplication has become a popular technology for reducing the amount of storage space necessary for backup and archival data. As the amount of data growth all over the world, many organization need to reduce ...
  • Yi, Win Mya Shwe; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The growth of distributing systems with the possibility of sharing the available resources has led to the ability of executing some jobs arrived at a certain node remotely. Consequently, load balancing is aiming at ...
  • Mo, Hsu Myat; Nwet, Khin Thandar; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Named Entity Recognition (NER) is the task of classifying or labeling atomic elements in the text into predefined sets of named entity categories such as Person, Location, Organization or Number. NER is also a crucial ...
  • Aye, Nang Zin Min; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. However, when the number of documents to search is potentially large, ...
  • Phue, Wai Mon Mon; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In today’s world, parallel processing framework is a widely used for the applications which need too much processing power. As an example, the basic requirement of security problems is to permute the input text into ...
  • Khaing, Moh Moh; Soe, Khin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Nowadays, hotels are in the large-scale distributed environments where each site is completely autonomous and offers services to its customer through transparent external communication. In the development of the World Wide ...
  • Ye, Yamin Shwe; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The rapid growth of web generated on the internet by millions of users poses many challenges for general purpose search engines (for example, scaling).Typically a general purpose search engine consists of three main ...
  • Aung, Pyae Phyo; Soe, Khin Mar (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    This system develops an intelligent search mechanism among large amount of distributed data on a Peerto- Peer network. To illustrate the intelligent search mechanism, the system builds a decentralized newspaper application. ...
  • Htet, Su Win; Soe, Khin Mar (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Question Answering (QA) is a fastgrowing research area that brings together research from Information Retrieval, Information Extraction and Natural Language Processing. Question Answering system (QA), is a kind of ...
  • Khaing, Ei Ei; Soe, Khin Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Statistical word alignment models have been widely used for various Natural Language Processing (NLP) problem. In statistical machine translation, word alignment models are trained on bilingual corpora. To build an SMT ...
  • Cing, Dim Lam; Soe, Khin Mar (International Journal of Electrical and Computer Engineering (IJECE), 2020-04)
    In Natural Language Processing (NLP), Word segmentation and Part-ofSpeech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation ...

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