Machine Translation
Springer Verlag, Singapore
978-981-99-7893-9 (ISBN)
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.
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.
Erscheinungsdatum | 01.11.2023 |
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Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | 40 Illustrations, color; 29 Illustrations, black and white; XIV, 130 p. 69 illus., 40 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | automatic post-editing • document image translation • document-level machine translation • interactive machine translation • low-resource machine translation • Machine Translation • Natural Language Processing (NLP) • Natural Languages • Neural Machine Translation • Signal Processing • Speech Analysis • Speech Recognition • statistical machine translation • Statistical Methods • translation (languages) • translation quality estimation |
ISBN-10 | 981-99-7893-9 / 9819978939 |
ISBN-13 | 978-981-99-7893-9 / 9789819978939 |
Zustand | Neuware |
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