Abstract
This paper describes the ADAPT Centre’s submission to the Adap-MT 2020 AI Translation Shared Task for English-to-Hindi. The neural machine translation (NMT) systems that we built to translate AI domain texts are state-of-the-art Transformer models. In order to improve the translation quality of our NMT systems, we made use of both in-domain and out-of-domain data for training and employed different fine-tuning techniques for adapting our NMT systems to this task, e.g. mixed fine-tuning and on-the-fly self-training. For this, we mined parallel sentence pairs and monolingual sentences from large out-of-domain data, and the mining process was facilitated through automatic extraction of terminology from the in-domain data. This paper outlines the experiments we carried out for this task and reports the performance of our NMT systems on the evaluation test set.- Anthology ID:
- 2020.icon-adapmt.4
- Volume:
- Proceedings of the 17th International Conference on Natural Language Processing (ICON): Adap-MT 2020 Shared Task
- Month:
- December
- Year:
- 2020
- Address:
- Patna, India
- Editors:
- Dipti Misra Sharma, Asif Ekbal, Karunesh Arora, Sudip Kumar Naskar, Dipankar Ganguly, Sobha L, Radhika Mamidi, Sunita Arora, Pruthwik Mishra, Vandan Mujadia
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 17–23
- Language:
- URL:
- https://aclanthology.org/2020.icon-adapmt.4
- DOI:
- Cite (ACL):
- Rejwanul Haque, Yasmin Moslem, and Andy Way. 2020. Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): Adap-MT 2020 Shared Task, pages 17–23, Patna, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task (Haque et al., ICON 2020)
- PDF:
- https://preview.aclanthology.org/landing_page/2020.icon-adapmt.4.pdf
- Data
- IndicNLP Corpus