Machine Translation
19th China Conference, CCMT 2023, Jinan, China, October 19-21, 2023, Proceedings
Published on 1. November 2023
Book
Paperback/Softback
XIV, 130 pages
978-981-99-7893-9 (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
Target group
Professional and scholarly
Illustrations
29 s/w Abbildungen, 40 farbige Abbildungen
XIV, 130 p. 69 illus., 40 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
230 gr
ISBN-13
978-981-99-7893-9 (9789819978939)
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
E-Book
10/2023
Springer
€69.54
Available for download
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.