Sinhala Language Question Answering using Machine  Comprehension

Iddawela, Dulitha

dc.contributor.author	Iddawela, Dulitha
dc.date.accessioned	2022-12-19T04:19:48Z
dc.date.available	2022-12-19T04:19:48Z
dc.date.issued	2022
dc.identifier.citation	Iddawela, Dulitha (2022) Sinhala Language Question Answering using Machine Comprehension. BEng. Dissertation, Informatics Institute of Technology	en_US
dc.identifier.issn	2017182
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/1150
dc.description.abstract	"Across the time period, Natural Language Processing has helped immensely in many tasks with regards to languages like English. In Sri Lanka the main language that is used here is Sinhala, Unlike English the Sinhala language doesn’t have many datasets or any pretrained models. The proposed solution is all about how deep learning can be applied for Sinhala Machine Comprehension. In this project, transformer models were used for the machine comprehension system. Sinhala articles from Wikipedia was also used in creating datasets."	en_US
dc.language.iso	en	en_US
dc.subject	Machine Comprehension	en_US
dc.subject	Deep Learning	en_US
dc.subject	Transformers	en_US
dc.title	Sinhala Language Question Answering using Machine Comprehension	en_US
dc.type	Thesis	en_US