@inproceedings{mujadia-sharma-2021-english,
title = "{E}nglish-{M}arathi Neural Machine Translation for {L}o{R}es{MT} 2021",
author = "Mujadia, Vandan and
Sharma, Dipti Misra",
editor = "Ortega, John and
Ojha, Atul Kr. and
Kann, Katharina and
Liu, Chao-Hong",
booktitle = "Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)",
month = aug,
year = "2021",
address = "Virtual",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2021.mtsummit-loresmt.16",
pages = "151--157",
abstract = "In this paper, we (team - oneNLP-IIITH) describe our Neural Machine Translation approaches for English-Marathi (both direction) for LoResMT-20211 . We experimented with transformer based Neural Machine Translation and explored the use of different linguistic features like POS and Morph on subword unit for both English-Marathi and Marathi-English. In addition, we have also explored forward and backward translation using web-crawled monolingual data. We obtained 22.2 (overall 2 nd) and 31.3 (overall 1 st) BLEU scores for English-Marathi and Marathi-English on respectively",
}
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%0 Conference Proceedings
%T English-Marathi Neural Machine Translation for LoResMT 2021
%A Mujadia, Vandan
%A Sharma, Dipti Misra
%Y Ortega, John
%Y Ojha, Atul Kr.
%Y Kann, Katharina
%Y Liu, Chao-Hong
%S Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)
%D 2021
%8 August
%I Association for Machine Translation in the Americas
%C Virtual
%F mujadia-sharma-2021-english
%X In this paper, we (team - oneNLP-IIITH) describe our Neural Machine Translation approaches for English-Marathi (both direction) for LoResMT-20211 . We experimented with transformer based Neural Machine Translation and explored the use of different linguistic features like POS and Morph on subword unit for both English-Marathi and Marathi-English. In addition, we have also explored forward and backward translation using web-crawled monolingual data. We obtained 22.2 (overall 2 nd) and 31.3 (overall 1 st) BLEU scores for English-Marathi and Marathi-English on respectively
%U https://aclanthology.org/2021.mtsummit-loresmt.16
%P 151-157
Markdown (Informal)
[English-Marathi Neural Machine Translation for LoResMT 2021](https://aclanthology.org/2021.mtsummit-loresmt.16) (Mujadia & Sharma, LoResMT 2021)
ACL