Machine Translation

This book constitutes the refereed proceedings of the 19th China Conference on Machine Translation, CCMT 2023, held in Jinan, China, during October 1921, 2023.
The 8 full papers and 3 short papers included in this book were carefully reviewed and selected from 71 submissions. They focus on machine translation; improvement of translation models and systems; translation quality estimation; document-level machine translation; low-resource machine translation.

Klappentext

Transn's submission for CCMT 2023 Quality Estimation Task.- HW-TSC's Neural Machine Translation System for CCMT 2023.- CCMT2023 Machine Translation Evaluation Technical Report.- Korean-Chinese Machine Translation Method Based on Independent Language Features.- NJUNLP's Submission for CCMT 2023 Quality Estimation Task.- HIT-MI&T Lab's Submission to CCMT 2023 Automatic Post-Editing Task.- A k-Nearest Neighbor Approach for Domain-Specific Translation Quality Estimation.- WSA: A Unified Framework for Word and Sentence Autocompletion in Interactive Machine Translation.- ISTIC's Neural Machine Translation Systems for CCMT'2023.- A Novel Dataset and Benchmark Analysis on Document Image Translation.- Joint Contrastive Learning for Factual Consistency Evaluation of Cross-Lingual Abstract Summarization.

Inhalt
Transn's submission for CCMT 2023 Quality Estimation Task.- HW-TSC's Neural Machine Translation System for CCMT 2023.- CCMT2023 Machine Translation Evaluation Technical Report.- Korean-Chinese Machine Translation Method Based on Independent Language Features.- NJUNLP's Submission for CCMT 2023 Quality Estimation Task.- HIT-MI&T Lab's Submission to CCMT 2023 Automatic Post-Editing Task.- A k-Nearest Neighbor Approach for Domain-Specific Translation Quality Estimation.- WSA: A Unified Framework for Word and Sentence Autocompletion in Interactive Machine Translation.- ISTIC's Neural Machine Translation Systems for CCMT'2023.- A Novel Dataset and Benchmark Analysis on Document Image Translation.- Joint Contrastive Learning for Factual Consistency Evaluation of Cross-Lingual Abstract Summarization.