WebNLG Challenge 2023: Domain Adaptive Machine Translation for Low-Resource Multilingual RDF-to-Text Generation (WebNLG 2023)

Kancharla Aditya Hari, Bhavyajeet Singh, Anubhav Sharma, Vasudeva Varma

Abstract
This paper presents our submission to the WebNLG Challenge 2023 for generating text in several low-resource languages from RDF-triples. Our submission focuses on using machine translation for generating texts in Irish, Maltese, Welsh and Russian. While a simple and straightfoward approach, recent works have shown that using monolingual models for inference for multilingual tasks with the help of machine translation (translate-test) can out-perform multilingual models and training multilingual models on machine-translated data (translate-train) through careful tuning of the MT component. Our results show that this approach demonstrates competitive performance for this task even with limited data.
Anthology ID:
2023.mmnlg-1.11
Volume:
Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
Month:
September
Year:
2023
Address:
Prague, Czech Republic
Editors:
Albert Gatt, Claire Gardent, Liam Cripwell, Anya Belz, Claudia Borg, Aykut Erdem, Erkut Erdem
Venues:
MMNLG | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
93–94
Language:
URL:
https://aclanthology.org/2023.mmnlg-1.11
DOI:
Bibkey:
Cite (ACL):
Kancharla Aditya Hari, Bhavyajeet Singh, Anubhav Sharma, and Vasudeva Varma. 2023. WebNLG Challenge 2023: Domain Adaptive Machine Translation for Low-Resource Multilingual RDF-to-Text Generation (WebNLG 2023). In Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023), pages 93–94, Prague, Czech Republic. Association for Computational Linguistics.
Cite (Informal):
WebNLG Challenge 2023: Domain Adaptive Machine Translation for Low-Resource Multilingual RDF-to-Text Generation (WebNLG 2023) (Aditya Hari et al., MMNLG-WS 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp-22-attachments/2023.mmnlg-1.11.pdf
PDF Search