Feng Machine Translation

19th China Conference, CCMT 2023, Jinan, China, October 19–21, 2023, Proceedings
1. Auflage 2023
ISBN: 978-981-99-7894-6
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1922, 130 Seiten, eBook

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Feng, Yang

Feng, Chong

Inhaltsverzeichnis

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.