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        <namePart type="given">Shivam</namePart>
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    <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.</abstract>
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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
%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.