Machine Translation
Springer Verlag, Singapore
978-981-336-161-4 (ISBN)
The 13 papers presented in this volume were carefully reviewed and selected from 78 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
Transfer Learning for Chinese-Lao Neural Machine Translation with Linguistic Similarity.- MTNER: A Corpus for Mongolian Tourism Named Entity Recognition.- Unsupervised Machine Translation Quality Estimation in Black-box Setting.- YuQ: A Chinese-Uyghur Medical-domain Neural Machine Translation Dataset Towards Knowledge-driven.- Quality Estimation for Machine Translation with Multi-granularity Interaction.- Transformer-based unified neural network for quality estimation and Transformer-based re-decoding model for machine translation.- NJUNLP’s Machine Translation System for CCMT-2020 Uighur → Chinese Translation Task.- Description and Findings of OPPO’s Machine Translation Systems for CCMT 2020.- Tsinghua University Neural Machine Translation Systems for CCMT 2020.- BJTU’s Submission to CCMT 2020 Quality Estimation Task.- NJUNLP’s Submission for CCMT20 Quality Estimation Task.- Tencent Submissions for the CCMT 2020 Quality EstimationTask.- Neural Machine Translation based on Back-Translation for Multilingual Translation Evaluation Task.
Erscheinungsdatum | 22.01.2021 |
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Reihe/Serie | Communications in Computer and Information Science ; 1328 |
Zusatzinfo | 14 Illustrations, black and white; XII, 143 p. 14 illus. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • Automata Theory • Computational Linguistics • computer aided language translation • Computer Science • Computer systems • conference proceedings • Correlation Analysis • Databases • Informatics • Information Theory • machine learning • machine translations • Natural Language Processing (NLP) • Natural Languages • Research • Signal Processing • Speech Analysis • Speech Recognition • statistical machine translation • theoretical computer science |
ISBN-10 | 981-336-161-1 / 9813361611 |
ISBN-13 | 978-981-336-161-4 / 9789813361614 |
Zustand | Neuware |
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