Abstract
We describe the work of Monash University for the shared task of Rotowire document translation organised by the 3rd Workshop on Neural Generation and Translation (WNGT 2019). We submitted systems for both directions of the English-German language pair. Our main focus is on employing an established document-level neural machine translation model for this task. We achieve a BLEU score of 39.83 (41.46 BLEU per WNGT evaluation) for En-De and 45.06 (47.39 BLEU per WNGT evaluation) for De-En translation directions on the Rotowire test set. All experiments conducted in the process are also described.
Original language | English |
---|---|
Title of host publication | EMNLP-IJCNLP 2019 |
Subtitle of host publication | Neural Generation and Translation, Proceedings of the Third Workshop |
Editors | Alexandra Birch, Andrew Finch, Hiroaki Hayashi, Ioannis Konstas, Thang Luong, Graham Neubig, Yusuke Oda, Katsuhito Sudoh |
Place of Publication | Stroudsburg PA USA |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 256-261 |
Number of pages | 6 |
ISBN (Electronic) | 9781950737833 |
DOIs | |
Publication status | Published - 2019 |
Event | Workshop on Neural Generation and Translation 2019 - Hong Kong, China Duration: 4 Nov 2019 → 4 Nov 2019 Conference number: 3rd https://aclanthology.org/D19-5600/ (Proceedings) |
Conference
Conference | Workshop on Neural Generation and Translation 2019 |
---|---|
Abbreviated title | NMT 2019 |
Country/Territory | China |
City | Hong Kong |
Period | 4/11/19 → 4/11/19 |
Internet address |
|