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https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4859
Title: | Artificial Intelligence support Scrabble Game for Sinhala Language |
Authors: | Weerathunga, Y. S. |
Issue Date: | 28-Sep-2024 |
Abstract: | ABSTRACT The combination of technical and traditional word games in language learning tools creates a new approach to language learning and cognitive development. This study begins to develop a Scrabble game designed for Sinhalese, incorporating advanced artificial intelligence (AI) to enhance gameplay and educational value Recognizing the rarest of language games with unique orthographic and syntactic characteristics in non-English languages, especially Sinhala , This project aims in order to fill the gap necessary for By carefully analysing existing Scrabble games and adapting them to the Sinhalese language system, this research seeks the intricacies of the language, including its rich morphology and unique text, to create a complex and instructive AI-driven game. The approach includes critical revision of linguistic standards of Sinhalese, development of complex Sinhalese vocabulary, and AI algorithms capable of simulating strategic games using and is to strengthen language skills instead It is also a model for the use of AI in educational language games. Quantitative and qualitative impacts of the game were assessed in terms of improved language skills, player engagement and AI competitiveness. Preliminary findings indicate a positive relationship between routine use of games and improved language skills, emphasizing the potential of games as new language learning tools. The research contributes to the development of computational linguistics, AI and language learning by showing how technology can bridge the language learning gap. It opens the way for future studies on the integration of AI into teaching tools for the development of new languages with unique linguistic features. |
URI: | https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4859 |
Appears in Collections: | 2024 |
Files in This Item:
File | Description | Size | Format | |
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2019MCS098.pdf | 2.14 MB | Adobe PDF | View/Open |
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