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- Anthology ID:
- 2021.mtsummit-loresmt.16
- Volume:
- Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)
- Month:
- August
- Year:
- 2021
- Address:
- Virtual
- Editors:
- John Ortega, Atul Kr. Ojha, Katharina Kann, Chao-Hong Liu
- Venue:
- LoResMT
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 151–157
- Language:
- URL:
- https://aclanthology.org/2021.mtsummit-loresmt.16
- DOI:
- Cite (ACL):
- Vandan Mujadia and Dipti Misra Sharma. 2021. English-Marathi Neural Machine Translation for LoResMT 2021. In Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021), pages 151–157, Virtual. Association for Machine Translation in the Americas.
- Cite (Informal):
- English-Marathi Neural Machine Translation for LoResMT 2021 (Mujadia & Sharma, LoResMT 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2021.mtsummit-loresmt.16.pdf
- Data
- Samanantar