Abstract
Machine Translation (MT) is a sub-field of Artificial Intelligence and Natural Language Processing that investigates and studies the ways of automatically translating a text from one language to another. In this paper, we present the details of our submission to the WMT20 Chat Translation Task, which consists of two language directions, English –> German and German –> English. The major feature of our system is applying a pre-trained BERT embedding with a bidirectional recurrent neural network. Our system ensembles three models, each with different hyperparameters. Despite being trained on a very small corpus, our model produces surprisingly good results.- Anthology ID:
- 2020.wmt-1.59
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 479–482
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.59
- DOI:
- Cite (ACL):
- Roweida Mohammed, Mahmoud Al-Ayyoub, and Malak Abdullah. 2020. JUST System for WMT20 Chat Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 479–482, Online. Association for Computational Linguistics.
- Cite (Informal):
- JUST System for WMT20 Chat Translation Task (Mohammed et al., WMT 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.wmt-1.59.pdf