Sammanfattning
This paper provides the system description of "Silo NLP's" submission to the Workshop on Asian Translation (WAT2022). We have participated in the Indic Multimodal tasks (English->Hindi, English->Malayalam, and English->Bengali Multimodal Translation). For text-only translation, we trained Transformers from scratch and fine-tuned mBART-50 models. For multimodal translation, we used the same mBART architecture and extracted object tags from the images to use as visual features concatenated with the text sequence. Our submission tops many tasks including English->Hindi multimodal translation (evaluation test), English->Malayalam text-only and multimodal translation (evaluation test), English->Bengali multimodal translation (challenge test), and English->Bengali text-only translation (evaluation test).
Originalspråk | engelska |
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Titel på värdpublikation | Proceedings of the 9th Workshop on Asian Translation : The 29th International Conference on Computational Linguistics |
Antal sidor | 7 |
Utgivningsort | Gyeongju |
Förlag | COLING |
Utgivningsdatum | 17 okt. 2022 |
Sidor | 99-105 |
Status | Publicerad - 17 okt. 2022 |
MoE-publikationstyp | A4 Artikel i en konferenspublikation |
Evenemang | Workshop on Asian Translation - Gyeongju, Sydkorea Varaktighet: 17 okt. 2022 → 17 okt. 2022 Konferensnummer: 9 |
Publikationsserier
Namn | International conference on computational linguistics |
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Förlag | COLING |
Nummer | 15 |
Volym | 29 |
ISSN (tryckt) | 2951-2093 |
Vetenskapsgrenar
- 113 Data- och informationsvetenskap