Fine tuning based Domain Adaptation for Machine Translation of Low Resource Indic Languages

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16349

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DC Field	Value	Language
dc.contributor.author	Sharma, Yashvardhan	-
dc.date.accessioned	2024-11-12T09:41:55Z	-
dc.date.available	2024-11-12T09:41:55Z	-
dc.date.issued	2021	-
dc.identifier.uri	https://ceur-ws.org/Vol-3681/T9-3.pdf	-
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16349	-
dc.description.abstract	This paper describes the proposed system for the machine translation of Indic language pairs Odia - Hindi and Hindi - Odia for the General Translation and Domain Specific Translation tasks proposed by Forum of Information Retrieval Evaluation(FIRE) in 2023. For general task, the proposed system uses an ensemble of two pre-trained models and for domain specific task, the proposed system uses a pretrained model fine-tuned using domain specific training data filtered from open source datasets	en_US
dc.language.iso	en	en_US
dc.publisher	CEUR	en_US
dc.subject	Computer Science	en_US
dc.subject	Low resource Machine Translation	en_US
dc.subject	NLLB	en_US
dc.subject	BART	en_US
dc.subject	IndicTrans	en_US
dc.subject	Sentence Similarity	en_US
dc.title	Fine tuning based Domain Adaptation for Machine Translation of Low Resource Indic Languages	en_US
dc.type	Article	en_US
Appears in Collections:	Department of Computer Science and Information Systems

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