Browsing by Author "Umasuthan, K"

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    Mobile and desktop based group messaging system
    (2015-06-09) Adikari, AAAS; Ailapperuma, DCR; Dilhani, PAC; Umasuthan, K; Hashamth, MLM; Kulawansa, KADT; Fernando, SA
    Communication is an essential factor in any activity and in any community. Sharing and transferring information in a group Is needed in many Instances addressing both personal and corporate usage. Many studies and applications have attempted to overcome this barrier with the usage of mobile communication which is a fast growing medium at present. Our solution Is to have an integrated communication system using both mobile and desktop applications with security. The Android mobile application and desktop application connects to the Open Fire server of the organization and via the server groups can communicate simultaneously. A SMS gateway is connected to the server to notify the message to offline users. Encrypting mechanism Implemented In this application ensures the safety of the data transmitted In the network. A survey was conducted among corporate and also among general public to identify their needs and Issues in communication. From the survey It was highlighted that a secure group messaging system within the company is essential and employees are reluctant to use their own mobiles and prefer a company group communication system. Further this application was tested In real time corporate environment and was proven very user friendly and useful. This research paper describes the importance and necessity of such communication system for efficient and safe sharing of information between groups of people and provides a solution addressing Integrated communication to overcome the existing barriers of communication.
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    Statistical Machine Translation System for Sinhala and Tamil Languages
    Rajpirathap, S; Sheeyam, S; Umasuthan, K; Chelvarajah, A
    Statistical machine translation method is one of the most promising and efficient method to perform machine translation for Sri Lankan languages likes Sinhala and Tamil. Statistical approach is more suitable for structurally dissimilar pairs of languages and efficient solution for large text translation. In Sri Lanka we have a rising need for translation for Sinhala and Tamil and the statistical machine translation approach is more suitable for the concerned languages. Sinhala and Tamil have a similarity in grammar and statistical approach will help to obtain more accurate results. We have developed a bi-directional translation system for both Tamil to Sinhala and Sinhala to Tamil for this research. We have used the Sri Lankan parliament corpus to train the language model. We have critically evaluated the both systems with parameter optimizations and have obtained the most accurate and efficient system. We have also utilized the scoring techniques like BLEU [2, 8] & NIST [2] for the system evaluation and we have integrated the MERT technique to tune the decoder.