Machine Translation
19th China Conference, CCMT 2023, Jinan, China, October 19-21, 2023, Proceedings
Published on 31. October 2023
XIV, 130 pages
978-981-99-7894-6 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIV, 130 p. 69 illus., 40 illus. in color.
File size
9,22 MB
ISBN-13
978-981-99-7894-6 (9789819978946)
DOI
10.1007/978-981-99-7894-6
Schweitzer Classification
Other editions
Additional editions
Yang Feng | Chong Feng
Machine Translation
19th China Conference, CCMT 2023, Jinan, China, October 19-21, 2023, Proceedings
Book
11/2023
Springer
€69.54
Shipment within 3-4 weeks
Content
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.
