Faculty of Computer Science: Recent submissions

  • Aye, Hnin Thu Zar; Pa, Win Pa (Special Issue on Multidisciplinary Sciences and Engineering in Advances in Science, Technology and Engineering Systems Journal, 2020-11)
    Complete manual annotation of dependency treebank needs resources like annotators and annotation tools and takes long time and has high possibility of inconsistent annotations for free word order languages such as Myanmar. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Aung, Thet Thet; Nyunt, Thi Thi Soe (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Community structure in scientific collaboration network has become an important research area. Coauthor of a paper can be thought of as a collaborative document between more than one authors. Community detection in ...
  • 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 ...
  • Thwin, Mie Mie Thet; Quah, Tong Seng (Proceedings of the First International Conference on Information Technology and Applications (ICITA 2002), 2002)
    In this paper, we explore the behaviour of neural network in predicting software readiness. Our neural network model aims to predict the number of faults (including objectoriented faults) of a software under development. ...
  • Thwin, Mie Mie Thet; Quah, Tong Seng (Information and Software Technology, 2004-06-15)
    Database application constitutes one of the largest and most important software domains in the world. Some classes or modules in such applications are responsible for database operations. Structured Query Language (SQL) ...
  • Htoon, Htoon; Thwin, Mie Mie Thet (Proceedings of the 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008-05-14)
    A mobile agent is an executing program that can migrate during execution from machine to machine in a heterogeneous network. On each machine, the agent interacts with stationary service agents and other resources ...
  • Aye, Moe Moe; Thwin, Mie Mie Thet (Proceedings of the 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008-05-14)
    This paper presents a case study namely Mobile Agent Based Online Examination System and the roles of mobile agents used in the system. The system provides the infrastructure for conducting computer-based examination which ...
  • Thwin, Mie Mie Thet; Quah, Tong Seng (Journal of Systems and Software, 2005-05)
    This paper presents the application of neural networks in software quality estimation using object-oriented metrics. In this paper, two kinds of investigation are performed. The first on predicting the number of defects ...
  • Thwin, Mie Mie Thet; Quah, Tong Seng (Proceedings of the International Conference on Software Maintenance (ICSM 2003), 2003)
    This paper presents the application of neural networks in software quality estimation using object-oriented metrics. Quality estimation includes estimating reliability as well as maintainability of a software. Reliability ...
  • 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 ...
  • Thwin, Mie Mie Thet; Quah, Tong Seng (Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003-07-01)
    This paper presents the application of neural networks in software maintainability estimation using objectoriented metrics. Maintenance effort can be measured as the number of lines changed per class. In this paper, ...
  • Thwin, Mie Mie Thet; Quah, Tong Seng (Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02, 2002-11-22)
    In this paper, we present the application of neural network for predicting software development faults including object-oriented faults. Object-oriented metrics can be used in quality estimation. In practice, quality ...
  • Mung, Pau Suan; Phyu, Sabai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    Ensemble learning technique is proposed in this paper for better efficiency of healthcare classification and prediction. Healthcare industry is an ever-increasing rise in the number of doctors, patients, medicines and ...
  • Thant, Lwin May; Phyu, Sabai (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    Real-time data analysis is a key research in many domains. It can be applied to pre-existing or prescriptive models. The effective result is that monitor the account and review on a real-time action. Apache spark machine ...
  • 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 ...
  • Zaw, Yu Mon; Nwe, Khine Moe (Proceedings of the 10th International Conference on Science and Engineering (ICSE 2019), 2019-12-07)
    Cloud computing is the on-demand availability of computer system resources and services over the internet and cloud data centers play important role in fulfilling on-demand facilities such as servers, communication media ...
  • 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.

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