Research Papers - Dept of Information Technology

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/593

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Author: search.filters.author.Gamage, M. P. A. WSubject: search.filters.subject.Natural Language Processing

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    PublicationOpen Access
    EnglishBuddy–An approach for structured answer evaluation and feedback for O/L English language examinations in Sri Lanka.
    (GARI Publisher, 2017-12-31) Gurusinghe, A. M; Wijenayaka, W. K. D. P; Nawagamuwa, C. N; Priyadarshani, W. K. D. L; Gamage, M. P. A. W
    At present, English has become a universal language. It may not be the most spoken language in the world, but it is the official language in a large number of countries. Proficiency in English both spoken and written has become a basic and a crucial requirement to get a decent white collar job and also to pursue higher studies or career development. Therefore, passing O/L with a good grade for English has become critical. But due to the busy life styles of students, teachers as well as parents, do not see this as a major problem and pay less attention to English compared to the other subjects. Since there is a limited time available for each subject at school, teachers might not be paying their full attention to the students who need teachers’ help. Sometimes parents also feel it is difficult to attend to the parents meetings and they might not know the actual grades of their children until the final results are given. This research provides a solution to the above problems by developing an automated system called “English Buddy” which will mark student’s structure based answers in English and help the students to learn and evaluate their knowledge alone. This web solution will be useful for teachers to upload material and check progress of the students and for students to learn and practice exercises and get feedback. It’ll be helpful for parents to be alert and follow the progress of their children. The systems is mainly build using techniques in Natural Language Processing and checked for accuracy with manual marking.
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    PublicationOpen Access
    Speecur: Intelligent pc controller for hand disabled people using nlp and image processing
    (GARI Publisher, 2017-06-30) Chathumali, E. J. A. P. C; Jayasekera, J. M. U. B; Pinnawala, D. C; Samaraweera, S. M. T. K; Gamage, M. P. A. W
    Today computers play a major role in human lives. Even though there are very sophisticated interfaces, differently abled people find it challenging to interact with the computer. There are some applications for disabled people, but people who have disabilities in hands do not have a proper application to interact with new technologies. The aim of this project is to develop software that act as an intelligent controller to facilitate hand disabled people when interacting with a computer. Proposed intelligent solution is based on speech recognition, image processing and human computer interaction. This application is capable of moving mouse cursor with face detections, activities based on voice commands, provide user authentication by voice recognitions and give suggestions using facial emotions. The solution will be using various high end techniques in Natural Language Processing, Machine Learning and Image Processing in order to improve the computer interaction. The proposed solution will be a great solution for the hand disabled people to interact with the computers like a normal user does.
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    PublicationOpen Access
    Virtual student advisor using NLP and automatic appointment scheduler and feedback analyser
    (www.ijser.org, 2016-02-02) Suvethan, N; Avenash, K; Huzaim, M. A. Q; Mathusagar, R; Gamage, M. P. A. W; Imbulpitiya, A
    Virtual Student Advisor is a research project that mainly concerned on addressing a comprehensive solution to overcome the difficulties faced by the academic departments of any academic institutions. According to the context, the role of the Student Advisor is focused on helping students with problems related to their academic carrier at the University and also answer the general queries made by students related to the procedures conducted at the Institute. This happens to be a tedious and a very inefficient task for the Academics as they have to repeat the same answers for many students and also students coming to meet the academic in ad hoc manner without proper appointments makes both the student and the academic face lot of problems. The Virtual Student Advisor system mainly consists of three components; A Natural language based inquiry management module, Priority wise automatic appointment scheduler and Feedback analyzer. The inquiry management module is responsible in handling user queries based on frequently asked questions. Users can get the answers for a query by entering the question in natural language. This is implemented as a mobile application as it is convenient for students to ask questions from any place at any time. The system will answer the queries and if it needs more explanation it will be directed to the relevant advisor. Auto appointment scheduler handles the student appointment requests and helps in managing the schedules. This will be accessed by both Academics to set their free time slots and the students to request an appointment according to urgency. Feedback analyzer handles the entire process of student feedback taken for each subject starting from preparing feedback forms till analyzing the collected information. The lecturer can prepare a feedback form using the question bank in the system and customize it further to fit the requirements and after conducting the feedback the system can process the data and provide reports on varies views of the data such as tables and pie charts. The system uses Natural Language Processing to handle students’ queries by tokenizing the sentences and extracting answers based on keywords and comparing synonyms WordNet lexical database. The appointment scheduler uses priority based Round Robin CPU Scheduling Algorithm to schedule the appointments according to urgency. The Virtual Student Advisor system consists of a mobile application for students and a web application for both students and lecturers to access the information and conducted their daily tasks related to academic administration effectively.