Research Papers - Dept of Information of Management

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/607

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Author: search.filters.author.Thelijjagoda, SSubject: search.filters.subject.Natural Language

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    Road Navigation System Using Automatic Speech Recognition (ASR) And Natural Language Processing (NLP)
    (IEEE, 2019-01-31) Withanage, P; Liyanage, T; Deeyakaduwe, N; Dias, E; Thelijjagoda, S
    In a highly evolving technical era, Voice-based Navigation Systems play a major role to bridge the gap between human and machine. To overcome the difficulty in taking and understanding user's voice commands, simulating the natural language, process the route with user's turn by turn directions while mentioning key entities like street names, landmarks, point of interests, junctions and map the route in an interactive interface, we propose a user-centric roadmap navigation mobile application called “Direct Me”. The approach of generating the user preferred route, system will first convert the audio streams into text through Automatic Speech Recognizer (ASR) using Pocket Sphinx Library, followed by Natural Language Processing (NLP) by utilizing Stanford CoreNLP Framework to retrieve the navigation-associated information and process the route in the Map using Google Map API upon the user request. This system is used to provide an efficient approach to translate natural language directions to a machine-understandable format and will benefit the development of voice-based navigation-oriented humanmachine interface.
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    Automated Location Scouting and Production Planning for Movie Industry in Sri Lanka using scripts written in Natural Language
    (IEEE, 2021-04-02) Perera, V; Lakshan, N; Hettiarachchi, A; Himantha, K; Gamage, M. P. A. W; Thelijjagoda, S
    The film industry in Sri Lanka has grown into a multi-billion-dollar industry. However, it has not reached its fullest potential yet. This is due to the insufficient number of films produced locally. One of the major causes for a film to fail is the low attention given for production planning. Planning should take place with the commencement of the Preproduction state. This should include the entire process from scriptwriting to final ticket issuing. The pre-production state that determines the success or failure of the film consists of the critical processes that will be required to execute the production state. Place Scouting is one of the main processes in a production plan. Since the film industry focuses primarily on the esthetic enjoyment of people in society, scenic beauty is a must when choosing locations for a film. “Film-It” is developed to provide all-around assistance in Location Scouting and Resource Planning in the Pre-Production State of a movie. With the aid of this application, key players in the film industry will be able to save their time, effort and money spend on Preproduction preparation. Key stakeholders in the film industry have confirmed that this application would carry the Sri Lankan film industry to a whole new level.
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    Voice-based Road Navigation System Using Natural Language Processing (NLP)
    (IEEE, 2018-12-21) Withanage, P; Liyanage, T; Deeyakaduwe, N; Dias, E; Thelijjagoda, S
    In a highly technological era, voice-based navigation systems play a major role in bridging the gap between man and machine. To overcome the difficulty in understanding the user's voice commands and natural language simulations, process the path with the user's turn by turn directions with the mention of key entities such as street names, landmarks, points of interest, connections and path mapping in an interactive interface, we propose a user-centric roadmap navigation mobile application called “Direct Me”. To generate the user's preferred path, the system will first convert audio streams to text through ASR using the Pocket Sphinx library, followed by Natural Language Processing (NLP) by taking advantage of Stanford CoreNLP Framework to retrieve navigation-related information and handle the path in the map using the Google Map API at the user's request. This system is used to provide an effective approach to translating natural language commands into a format that can be fully understood by machine and will benefit in the development of human-machine-oriented interface.