Machine Translation: 16th China Conference, Ccmt 2020, Hohhot, China, October 10-12, 2020, Revised Selected Papers

ISBN-13: 9789813361614 / Angielski / Miękka / 2021 / 143 str.

Junhui Li; Andy Way

Spis treści

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 Estimation Task.- Neural Machine Translation based on Back-Translation for Multilingual Translation Evaluation Task.