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  • Myanmar Word Stemming and POS Tagging using Rule Based Approach 
    Minn, Kyaw Htet (University of Computer Studies, Yangon, 2019-03)
    Myanmar language is spoken by more than 33 million people and use it as a verbal and written communication which is an official language of the Republic of the Union of Myanmar. With the rapid growth of digital content ...
  • Myanmar Words Sorting 
    Khine, Su Mon; Thein, Yadana (International Journal on Natural Language Computing (IJNLC), 2015-10)
    Myanmar word sorting is very important in indexing of search engine to optimize in the searching process of keywords. This paper proposed an efficient sorting algorithm for Myanmar words based on the weights of consonants, ...
  • Myanmar Words Spelling Checking Using Levenshtein Distance Algorithm 
    Oo, Nwe Zin; Htwe, Tin Myat (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Natural Language Processing (NLP) is one of the most important research area carried out in the world of Artificial Intelligence (AI). Spelling Checking, Machine Translation, Automatic Text Summarization, Information ...
  • 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 ...
  • Myanmar-English Word Translation Disambiguation using Parallel Corpus 
    Aung, Nyein Thwet Thwet (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    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. WSD systems can help to improve the ...
  • 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 ...
  • N Gram Based Spelling Checker for Myanmar Noun Words 
    Oo, Naing Lin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Myanmar spelling checker system is the important task in one of NLP application such as information retrieval and in most other NLP applications. This system is based on N-Gram approach for Myanmar Spelling Checker. The ...
  • Naïve Bayes for Function Tagging in Myanmar Language 
    Thant, Win Win (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper proposes an approach to annotate function tags for unparsed text. We address the question of whether data-driven function tag assignment method can be applied to Myanmar language. We assign function tags ...
  • A nalytical study on server consolidation algorithm with virtual machine migration 
    Hlaing, Pa Pa (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Energy consumption of data centers has been increasing continuously due to rising demands of computational power. One promising approach of reducing this energy consumption is the consolidation of servers by virtualization. ...
  • Name Entity Recognition for Myanmar Language 
    Myint, Thida (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Name Entity Recognition (NER) is one of the fundamental problems in many Natural Language Processing applications. NE consists of names, person, location, organization, time, numerical expressions and etc. Not much ...
  • Nation Building Task: Internship Program for Students of University of Computer Studies, Yangon 
    Khine, Aye Aye (National Journal of Parallel and Soft Computing, 2019-03)
    In the 21st Century, the demand of experienced and educated workers has increasingly become in working environment and higher institutions like universities play a central role in nurturing the qualified students. In ...
  • Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging 
    Win, May Thu; Win, Kay Thi (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    A fundamental problem in image processing is image segmentation. The conventional image segmentation methods, to some extent, all suffer from the problem of inaccurate segmentation. A slightly easier and more approachable ...
  • Neighbor Search with Hash Map Indexing Technique for Complex Networks 
    Hlaing, Wai Mar; Sein, Myint Myint (The 12th International Conference on Future Computer and Communication (ICFCC 2020), 2020-02-26)
    Neighbor Search with Hash Map Indexing Technique is used to get the high performance when the optimal path is searched in the complex networks. This system can also give advice the public bus passengers about the travel ...
  • Network Based Remote Vehicle Control System using Arduino and Android 
    Oo, Han Phyo; Thein, Yadana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In the today advanced world, remote controlled embeddedsystem is one of the biggest demand mainly in disaster recovery, military, home security and etc. The purpose of this design is to provide the prototype of a ...
  • Network Behavioral Analysis for Detection of Remote Access Trojans 
    Yin, Khin Swe (University of Computer Studies, Yangon, 2019-09)
    Today’s world is connected through the Internet, everyone can connect each other and people do business on the Internet like online shopping and online banking. Social networking sites are widely used and people save ...
  • Network Intrusion Detection and Analyzing User-agent Field XSS Attack Log Files from Web Application 
    Thu, Aye Aye (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Today web site hacks are on the rise and pose a greater threat than the broad-based network attacks as they threaten to steal critical customer, employee, and business partner information stored in applications and databases ...
  • A Network Intrusion Detection Model Using Fuzzy C4.5 Decision Tree 
    Hlaing, Thuzar; Khine, May Aye (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    With the growing rate of interconnections among computer systems, reliable network communication is becoming a major challenge. Intrusion detection has emerged as a significant field of research, because it is ...
  • Network Simulator With Step Execution and Resume Functions for Understanding Mechanism of Communication: A Case Study for Layer 2 Access 
    Cherry, Hnin; Tateiwa, Yuichiro; Aye, Zin May (ICCA, 2021-02-25)
    There are several students who cannot understand the mechanism of communication, which is a part of TCP/IP, by taking lectures and reading textbooks. Our system helps students to understand it by observing network behavior ...
  • Neural Approach Applying for Soil Classification System 
    Sue, Khin Mo; Kyi, Tin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The main aim of this paper is to develop a system for classifying the soil class of Myanmar by the help of Error Back-propagation algorithm (EBP) which is the most widely used algorithm among Artificial Neural Network (ANN ...
  • Neural Machine Translation between Myanmar (Burmese) and Dawei (Tavoyan) 
    Oo, Thazin Myint; Thu, Ye Kyaw; Soe, Khin Mar; Supnithi, Thepchai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    This work explores the first evaluation of the quality of neural machine translation between Myanmar (Burmese) and Dawei (Tavoyan). We also developed Myanmar-Dawei parallel corpus (around 9K sentences) based on the ...

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