TY  - BOOK
AU  - Feng,Yang
AU  - Feng,Chong
TI  - Machine Translation: 19th China Conference, CCMT 2023, Jinan, China, October 19-21, 2023, Proceedings 
T2  - Communications in Computer and Information Science,
SN  - 9789819978946
U1  - 006.35 23
PY  - 2023///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Natural language processing (Computer science)
KW  - Database management
KW  - Computer science
KW  - Coding theory
KW  - Information theory
KW  - Social sciences
KW  - Data processing
KW  - Natural Language Processing (NLP)
KW  - Database Management
KW  - Computer Science Logic and Foundations of Programming
KW  - Coding and Information Theory
KW  - Computer Application in Social and Behavioral Sciences
N1  - 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
N2  - This book constitutes the refereed proceedings of the 19th China Conference on Machine Translation, CCMT 2023, held in Jinan, China, during October 19-21, 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
UR  - https://doi.org/10.1007/978-981-99-7894-6
ER  -