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Tyrox- A Transformer Architecture based natural language programming interpreter to aid novice programmers

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dc.contributor.author Silva, Melani
dc.date.accessioned 2022-12-19T07:44:47Z
dc.date.available 2022-12-19T07:44:47Z
dc.date.issued 2022
dc.identifier.citation Silva, Melani (2022) Tyrox- A Transformer Architecture based natural language programming interpreter to aid novice programmers. BEng. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018066
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1172
dc.description.abstract "One of the most prominent discussions in today's literature appears to be which of the programming paradigms is the best learning strategy for novice programmers. It became one of the pressing issues when research demonstrated that the foundation built at the entry level is a game-changer in the existence of a programmer. The difficult task in this method is the conveyance of key-programming concepts with knowledge of logic. Researchers have invented a variety of programming languages and ways to assist new programmers and tackle this problem. This thesis focuses on implementing an IDE plugin to assist, guide, and support novice programmers to self-study. This includes a review of the literature to distinguish research gaps and missing links in existing beginner programming languages." en_US
dc.language.iso en en_US
dc.subject Introductory Programming en_US
dc.subject Coding Assistant en_US
dc.subject Natural Language Processing en_US
dc.title Tyrox- A Transformer Architecture based natural language programming interpreter to aid novice programmers en_US
dc.type Thesis en_US


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