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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16349
Title: Fine tuning based Domain Adaptation for Machine Translation of Low Resource Indic Languages
Authors: Sharma, Yashvardhan
Keywords: Computer Science
Low resource Machine Translation
NLLB
BART
IndicTrans
Sentence Similarity
Issue Date: 2021
Publisher: CEUR
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
URI: https://ceur-ws.org/Vol-3681/T9-3.pdf
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16349
Appears in Collections:Department of Computer Science and Information Systems

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