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Subject: search.filters.subject.Translation

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    PublicationOpen Access
    Translation and Validation of the ‘Indian Scale for Assessment of Autism’ on a Sinhala-Speaking Population of 3- to 12-year-olds in Colombo and Gampaha Districts
    (Faculty of Humanities and Sciences, SLIIT, 2023-11-01) Pathiraja, G.A.P.S.S.O; Ponnamperuma, L
    There is a significant need for appropriate culturally sensitive, standardized screening tools in many countries including Sri Lanka for the accurate identification of ASD which leads to specific interventions and good prognosis. The study’s aim was to investigate psychometric properties by translating and validating the Indian Scale for the Identification of Autism on a Sinhala-speaking population of 3 to 12-year-olds in Colombo and Gampaha districts to increase the efficiency and quick screening of autism in routine clinics. The methodology included the systematic forward and backward translation, Delphi process and data collection from clinical and non-clinical samples from Sinhala speaking parents of 3- to 12-year-olds in Colombo and Gampaha districts. The study had a good internal consistency reliability measured through Cronbach’s alpha of .927. There was high sensitivity and specificity measures whereby a cutoff score of 68 was ensured through the Receiver Operator Characteristic Curve. Overall, the Indian Scale for Assessment of Autism is suitable to be used in routine clinics in Colombo and Gampaha districts.
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    Recommendation system based on Tamil-English code-mixed text analysis
    (Institute of Electrical and Electronics Engineers, 2022-10-15) Vijayakumar, S; Murugaiah, G; Sivanesan, J; Archchana, K; Tissera, W; Vidhanaarachchi, S
    The cinema industry has always been popular since its inception many years ago and is a preferred pastime of many people. It can be observed that even though online movie applications are popular in multilingual society, English is the preferred language. Naturally, people of other languages mix their native language with English during communications resulting in an abundance of multilingual data called code-mixed data, available in today's world. This research focuses on the movie recommendation system whose primary objective is to make a recommender system through Natural Language Processing (NLP) Tools for Tamil-English Code-mixed (Tanglish) Comments. Our recommendation system will be a filtering scheme whose primary objective is to predict a viewer's rating or preference towards a movie or web series.