Name
Title | ||
|---|---|---|
Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation. |
Abstract | ||
|---|---|---|
Neural machine translation (NMT) has gained more and more attention in recent years, mainly due to its simplicity yet state-of-the-art performance. However, previous research has shown that NMT suffers from several limitations: source coverage guidance, translation of rare words, and the limited vocabulary, while statistical machine translation (SMT) has complementary properties that correspond we... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TASLP.2018.2860287 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Decoding,Knowledge engineering,Modeling,Neural networks,Speech processing,Vocabulary,Training,Statistical learning | Speech processing,Task analysis,Computer science,Machine translation,Speech recognition,Knowledge engineering,Decoding methods,Classifier (linguistics),Artificial neural network,Vocabulary | Journal |
Volume | Issue | ISSN |
26 | 12 | 2329-9290 |
Citations | PageRank | References |
3 | 0.40 | 44 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xing Wang | 1 | 58 | 10.07 |
| Zhaopeng Tu | 2 | 518 | 39.95 |
| Min Zhang | 3 | 1849 | 157.00 |