Machine Translation
Springer Verlag, Singapore
978-981-15-1720-4 (ISBN)
The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
Improving Bilingual Lexicon Induction on Distant Language Pairs.- Improving Quality Estimation of Machine Translation by UsingPre-trained Language Representation.- Incorporating Syntactic Knowledge in Neural Quality Estimation for Machine Translation.- Independent Fusion of Words and Image for Multimodal Machine Translation.- Neural Machine Translation with Attention Based on A New Syntactic Branch Distance.- Phrase-based Chinese-Vietnamese pseudo-parallel sentence pair generation.- Quality Estimation with Transformer and RNN Architectures.- NICT’s Machine Translation Systems for CCMT-2019 Translation Task.- NiuTrans Submission for CCMT19 Quality Estimation Task.- Tencent Minority-Mandarin Translation System.- CCMT 2019 Machine Translation Evaluation Report.
| Erscheinungsdatum | 29.11.2019 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science ; 1104 |
| Zusatzinfo | 24 Illustrations, color; 35 Illustrations, black and white; XII, 129 p. 59 illus., 24 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 981-15-1720-7 / 9811517207 |
| ISBN-13 | 978-981-15-1720-4 / 9789811517204 |
| Zustand | Neuware |
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