Name
Abstract | ||
|---|---|---|
We describe an open-source toolkit for neural machine translation (NMT). The toolkit prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research into model architectures, feature representations, and source modalities, while maintaining competitive performance and reasonable training requirements. The toolkit consists of modeling and translation support, as well as detailed pedagogical documentation about the underlying techniques. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.18653/v1/P17-4012 | PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017): SYSTEM DEMONSTRATIONS |
DocType | Volume | Citations |
Conference | abs/1701.02810 | 134 |
PageRank | References | Authors |
4.01 | 13 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillaume Klein | 1 | 135 | 4.36 |
| Yoon Kim | 2 | 1533 | 57.57 |
| yuntian deng | 3 | 241 | 14.12 |
| Jean Senellart | 4 | 262 | 27.54 |
| Alexander M. Rush | 5 | 1499 | 67.53 |