Description
Machine Translation, 1st ed. 2020
16th China Conference, CCMT 2020, Hohhot, China, October 10-12, 2020, Revised Selected Papers
Communications in Computer and Information Science Series, Vol. 1328
Language: EnglishSubjects for Machine Translation:
Keywords
artificial intelligence; automata theory; computational linguistics; computer aided language translation; computer science; computer systems; correlation analysis; databases; information theory; machine learning; machine translations; Natural Language Processing (NLP); natural languages; signal processing; speech analysis; speech recognition; statistical machine translation; theoretical computer science
Publication date: 01-2021
Support: Print on demand
Support: Print on demand
Description
/li>Contents
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This book constitutes the refereed proceedings of the 16th China Conference on Machine Translation, CCMT 2020, held in Hohhot, China, in October 2020.
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.
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.
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