Faculty of Computer Science Collection: Recent submissions

  • Assigning automatically Part-of-Speech tags to build tagged corpus for Myanmar language 
    Myint, Phyu Hninn (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A variety of Natural Language Processing (NLP) tasks, such as named entity recognition, stemming, question answering and machine translation, benefit from knowledge of the words syntactic categories or Part-of-Speech ...
  • 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 ...
  • Depression Detection from Speech Emotion Recognition 
    Mar, Lwin Lwin; Pa, Win Pa (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    The recognition of the internal emotional state of a person plays an important role in several humanrelated fields. Emotions constitute an essential part of our existence as it exerts great influence on the physical ...
  • Modifying NOVA-annotated Myanmar Data to Universal Part-of-Speech Tagset 
    Yee, Sann Su Su; Ding, Chenchen; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    We present our work for morphological annotation on Myanmar part of the Asian Language Treebank project. Former NOVA annotation is a feasible and flexible annotation system for joint tokenization and POS tagging for ...
  • Clustering Analogous Words in Myanmar Language using Word Embedding Model 
    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 ...
  • Joint Word Segmentation and Part-of-Speech (POS) Tagging for Myanmar Language 
    Cing, Dim Lam; Soe, Khin Mar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In natural language processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP- based applications such as machine translation (MT), information ...
  • Discrete Artificial Bee Colony Algorithm for Community Detection in Social Networks 
    Aung, Thet Thet; Nyunt, Thi Thi Soe (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Community Detection (CD) is an interesting research area in social network analysis. It becomes NP-hard problem in large network. Many researchers use heuristic algorithms to detect communities in social network. These ...
  • Job Scheduling for High Performance Computing and Cloud Environment 
    Kyaw, Lett Yi; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    High performance computing (HPC) is famous and latest trend in current research era. User request many jobs and they want to get accurate results and quick time within eye blink. There are so many processors running ...
  • Assigning automatically Part-of-Speech tags to build tagged corpus for Myanmar language 
    Myint, Phyu Hninn (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A variety of Natural Language Processing (NLP) tasks, such as named entity recognition, stemming, question answering and machine translation, benefit from knowledge of the words syntactic categories or Part-of-Speech ...
  • Efficient Performance Optimization on Yarn-Based MapReduce Hadoop Framework 
    Htay, Than Than; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Apache Hadoop exposes 180+ configuration parameters for all types of applications and clusters, 10-20% of which has a great impact on performance and efficiency of the execution. The optimal configuration settings for ...
  • Resource Allocation Scheme for SDN-Based Cloud Data Center Network 
    Thazin, Nwe; Nwe, Khine Moe; Ishibashi, Yutaka (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Cloud Data Center Network (CDCN) is receiving considerable attention and becomes one of the hottest topics among academia and industry. It is difficult to deliver the new emerging network services in a flexible way and ...
  • Big Data Analytics for Healthcare Services Using C4.5 Algorithm on Map Reduce 
    Mung, Pau Suan; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Healthcare industry is an ever-increasing rise in the large amount of records such as doctors, patients, medicines and medical history. Although previous medical records are beneficial for not only individual but also ...
  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • 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 Page Layouts Retrieving by using Hungarian Method 
    Soe, Than Than; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    It is very difficult for inexperienced user to design good-looking web page layouts. Even with WYSIWYG (What You See Is What You Get) editors, it is still difficult to obtain desired results because one must combine ...
  • Mobile Agent based Distributed Query Processing for Songs Downloading System 
    Nwe, Zu Pa Pa; Phyu, Sabai (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Distributed system becomes more and more essential in computing world. There are many frames for performing distributed query processing.In this proposed system, the mobile agent technology is applied in query processing ...
  • Deduplication for Chunk-Based File Backup 
    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 ...
  • Distributed Load Balancer Using Estimation Algorithm 
    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 ...
  • Myanmar Part Of Speech Tagging using Backpropagation Neural Network 
    Hnin, Hay Mar; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    POS tagging is the process of automatic assigning a for each word with their categories that best suits the definition of the word as well as the context of the sentence of a natural language in which it is used. It ...
  • Full-Text Search in Myanmar Language using Apache Lucene 
    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, ...

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