Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT
Shivam Mhaskar, Aditya Jain, Aakash Banerjee, Pushpak Bhattacharyya
Abstract
In this paper, we present the details of the systems that we have submitted for the WAT 2021 MultiIndicMT: An Indic Language Multilingual Task. We have submitted two separate multilingual NMT models: one for English to 10 Indic languages and another for 10 Indic languages to English. We discuss the implementation details of two separate multilingual NMT approaches, namely one-to-many and many-to-one, that makes use of a shared decoder and a shared encoder, respectively. From our experiments, we observe that the multilingual NMT systems outperforms the bilingual baseline MT systems for each of the language pairs under consideration.- Anthology ID:
- 2021.wat-1.28
- Volume:
- Proceedings of the 8th Workshop on Asian Translation (WAT2021)
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Toshiaki Nakazawa, Hideki Nakayama, Isao Goto, Hideya Mino, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Shohei Higashiyama, Hiroshi Manabe, Win Pa Pa, Shantipriya Parida, Ondřej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya
- Venue:
- WAT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 233–237
- Language:
- URL:
- https://aclanthology.org/2021.wat-1.28
- DOI:
- 10.18653/v1/2021.wat-1.28
- Bibkey:
- Cite (ACL):
- Shivam Mhaskar, Aditya Jain, Aakash Banerjee, and Pushpak Bhattacharyya. 2021. Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT. In Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 233–237, Online. Association for Computational Linguistics.
- Cite (Informal):
- Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT (Mhaskar et al., WAT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wat-1.28.pdf
Export citation
@inproceedings{mhaskar-etal-2021-multilingual,
title = "Multilingual Machine Translation Systems at {WAT} 2021: One-to-Many and Many-to-One Transformer based {NMT}",
author = "Mhaskar, Shivam and
Jain, Aditya and
Banerjee, Aakash and
Bhattacharyya, Pushpak",
editor = "Nakazawa, Toshiaki and
Nakayama, Hideki and
Goto, Isao and
Mino, Hideya and
Ding, Chenchen and
Dabre, Raj and
Kunchukuttan, Anoop and
Higashiyama, Shohei and
Manabe, Hiroshi and
Pa, Win Pa and
Parida, Shantipriya and
Bojar, Ond{\v{r}}ej and
Chu, Chenhui and
Eriguchi, Akiko and
Abe, Kaori and
Oda, Yusuke and
Sudoh, Katsuhito and
Kurohashi, Sadao and
Bhattacharyya, Pushpak",
booktitle = "Proceedings of the 8th Workshop on Asian Translation (WAT2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wat-1.28",
doi = "10.18653/v1/2021.wat-1.28",
pages = "233--237",
abstract = "In this paper, we present the details of the systems that we have submitted for the WAT 2021 MultiIndicMT: An Indic Language Multilingual Task. We have submitted two separate multilingual NMT models: one for English to 10 Indic languages and another for 10 Indic languages to English. We discuss the implementation details of two separate multilingual NMT approaches, namely one-to-many and many-to-one, that makes use of a shared decoder and a shared encoder, respectively. From our experiments, we observe that the multilingual NMT systems outperforms the bilingual baseline MT systems for each of the language pairs under consideration.",
}
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%0 Conference Proceedings %T Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT %A Mhaskar, Shivam %A Jain, Aditya %A Banerjee, Aakash %A Bhattacharyya, Pushpak %Y Nakazawa, Toshiaki %Y Nakayama, Hideki %Y Goto, Isao %Y Mino, Hideya %Y Ding, Chenchen %Y Dabre, Raj %Y Kunchukuttan, Anoop %Y Higashiyama, Shohei %Y Manabe, Hiroshi %Y Pa, Win Pa %Y Parida, Shantipriya %Y Bojar, Ondřej %Y Chu, Chenhui %Y Eriguchi, Akiko %Y Abe, Kaori %Y Oda, Yusuke %Y Sudoh, Katsuhito %Y Kurohashi, Sadao %Y Bhattacharyya, Pushpak %S Proceedings of the 8th Workshop on Asian Translation (WAT2021) %D 2021 %8 August %I Association for Computational Linguistics %C Online %F mhaskar-etal-2021-multilingual %X In this paper, we present the details of the systems that we have submitted for the WAT 2021 MultiIndicMT: An Indic Language Multilingual Task. We have submitted two separate multilingual NMT models: one for English to 10 Indic languages and another for 10 Indic languages to English. We discuss the implementation details of two separate multilingual NMT approaches, namely one-to-many and many-to-one, that makes use of a shared decoder and a shared encoder, respectively. From our experiments, we observe that the multilingual NMT systems outperforms the bilingual baseline MT systems for each of the language pairs under consideration. %R 10.18653/v1/2021.wat-1.28 %U https://aclanthology.org/2021.wat-1.28 %U https://doi.org/10.18653/v1/2021.wat-1.28 %P 233-237
Markdown (Informal)
[Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT](https://aclanthology.org/2021.wat-1.28) (Mhaskar et al., WAT 2021)
- Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT (Mhaskar et al., WAT 2021)
ACL
- Shivam Mhaskar, Aditya Jain, Aakash Banerjee, and Pushpak Bhattacharyya. 2021. Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT. In Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 233–237, Online. Association for Computational Linguistics.