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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16374
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dc.contributor.authorSharma, Yashvardhan-
dc.date.accessioned2024-11-14T09:25:01Z-
dc.date.available2024-11-14T09:25:01Z-
dc.date.issued2021-
dc.identifier.urihttps://aclanthology.org/2021.wat-1.16/-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16374-
dc.description.abstractThis paper provides the description of shared tasks to the WAT 2021 by our team “NLPHut”. We have participated in the English→Hindi Multimodal translation task, English→Malayalam Multimodal translation task, and Indic Multi-lingual translation task. We have used the state-of-the-art Transformer model with language tags in different settings for the translation task and proposed a novel “region-specific” caption generation approach using a combination of image CNN and LSTM for the Hindi and Malayalam image captioning. Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption). Our submissions have also performed well in the Indic Multilingual translation tasks.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.subjectComputer Scienceen_US
dc.subjectNLPHuten_US
dc.subjectMultilingual translationen_US
dc.titleNLPHut’s Participation at WAT2021en_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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