Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers
Ife Adebara, El Moatez Billah Nagoudi, Muhammad Abdul Mageed
Abstract
In this work we investigate different approaches to translate between similar languages despite low resource limitations. This work is done as the participation of the UBC NLP research group in the WMT 2019 Similar Languages Translation Shared Task. We participated in all language pairs and performed various experiments. We used a transformer architecture for all the models and used back-translation for one of the language pairs. We explore both bilingual and multi-lingual approaches. We describe the pre-processing, training, translation and results for each model. We also investigate the role of mutual intelligibility in model performance.- Anthology ID:
- 2020.wmt-1.42
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 381–386
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.42
- DOI:
- Bibkey:
- Cite (ACL):
- Ife Adebara, El Moatez Billah Nagoudi, and Muhammad Abdul Mageed. 2020. Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers. In Proceedings of the Fifth Conference on Machine Translation, pages 381–386, Online. Association for Computational Linguistics.
- Cite (Informal):
- Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers (Adebara et al., WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.42.pdf
- Video:
- https://slideslive.com/38939640
Export citation
@inproceedings{adebara-etal-2020-translating,
title = "Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers",
author = "Adebara, Ife and
Nagoudi, El Moatez Billah and
Abdul Mageed, Muhammad",
editor = {Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Graham, Yvette and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.42",
pages = "381--386",
abstract = "In this work we investigate different approaches to translate between similar languages despite low resource limitations. This work is done as the participation of the UBC NLP research group in the WMT 2019 Similar Languages Translation Shared Task. We participated in all language pairs and performed various experiments. We used a transformer architecture for all the models and used back-translation for one of the language pairs. We explore both bilingual and multi-lingual approaches. We describe the pre-processing, training, translation and results for each model. We also investigate the role of mutual intelligibility in model performance.",
}
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%0 Conference Proceedings %T Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers %A Adebara, Ife %A Nagoudi, El Moatez Billah %A Abdul Mageed, Muhammad %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Graham, Yvette %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %S Proceedings of the Fifth Conference on Machine Translation %D 2020 %8 November %I Association for Computational Linguistics %C Online %F adebara-etal-2020-translating %X In this work we investigate different approaches to translate between similar languages despite low resource limitations. This work is done as the participation of the UBC NLP research group in the WMT 2019 Similar Languages Translation Shared Task. We participated in all language pairs and performed various experiments. We used a transformer architecture for all the models and used back-translation for one of the language pairs. We explore both bilingual and multi-lingual approaches. We describe the pre-processing, training, translation and results for each model. We also investigate the role of mutual intelligibility in model performance. %U https://aclanthology.org/2020.wmt-1.42 %P 381-386
Markdown (Informal)
[Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers](https://aclanthology.org/2020.wmt-1.42) (Adebara et al., WMT 2020)
- Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers (Adebara et al., WMT 2020)
ACL
- Ife Adebara, El Moatez Billah Nagoudi, and Muhammad Abdul Mageed. 2020. Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers. In Proceedings of the Fifth Conference on Machine Translation, pages 381–386, Online. Association for Computational Linguistics.