Vistara, A Sinhala Auto Journalism System

Withanage, Sashminda

dc.contributor.author	Withanage, Sashminda
dc.date.accessioned	2026-03-11T07:23:16Z
dc.date.available	2026-03-11T07:23:16Z
dc.date.issued	2025
dc.identifier.citation	Withanage, Sashminda (2025) Vistara, A Sinhala Auto Journalism System. Msc. Dissertation, Informatics Institute of Technology	en_US
dc.identifier.issn	20231612
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/2933
dc.description.abstract	The field of journalism is rapidly transitioning towards digital platforms, with a significant emphasis on . Many leading newspapers and online news portals increasingly leverage advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG)technologies to automate news content creation. However, such systems predominantly exist for resource-rich languages such as English. There remains a notable gap in the availability of equivalent systems for low-resource languages, including Sinhala.	en_US
dc.language.iso	en	en_US
dc.subject	Machine Learning	en_US
dc.subject	Natural language processing	en_US
dc.subject	Artificial Intelligence	en_US
dc.title	Vistara, A Sinhala Auto Journalism System	en_US
dc.type	Thesis	en_US