Name
Abstract | ||
|---|---|---|
Neural machine translation (NMT) has been prominent in many machine translation tasks. However, in some domain-specific tasks, only the corpora from similar domains can improve translation performance. If out-of-domain corpora are directly added into the in-domain corpus, the translation performance may even degrade. Therefore, domain adaptation techniques are essential to solve the NMT domain pro... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TASLP.2018.2837223 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Training,Adaptation models,Task analysis,Speech processing,Testing,Training data,Decoding | Speech processing,Weighting,Task analysis,Computer science,Machine translation,Phrase,Speech recognition,Test data,Decoding methods,Sentence | Journal |
Volume | Issue | ISSN |
26 | 10 | 2329-9290 |
Citations | PageRank | References |
3 | 0.37 | 15 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Wang | 1 | 19 | 2.68 |
| Masao Utiyama | 2 | 714 | 86.69 |
| Andrew Finch | 3 | 144 | 19.05 |
| Lemao Liu | 4 | 87 | 18.74 |
| Kehai Chen | 5 | 43 | 16.34 |
| Eiichiro SUMITA | 6 | 1466 | 190.87 |