Machine Translation: 20th China Conference, Ccmt 2024, Xiamen, China, November 8-10, 2024, Proceedings (Paperback)

.-?Robustness and Efficiency of Translation Models.
.-?A Data-Efficient Nearest-Neighbor Language Model via Lightweight Nets.
.-?Extend Adversarial Policy Against Neural Machine Translation via Unknown Token.
.-?Low-resource Machine Translation.
.-?Evaluating the Translation Performance of Multilingual Large Language Models: a Case Study on Southeast Asian Language.
.-?Quality Estimation.
.- Critical Error Detection based on Anchors Test.
.-?Large Language Modes for Machine Translation.
.-?Enhancing Machine Translation Across Multiple Domains and Languages with Large Language Models.
.-?Incorporating Terminology Knowledge into Large Language Model for Domain-specific Machine Translation.
.-?Multi-modal Translation.
.-?Joint Multi-modal Modeling for Speech-to-Text Translation as Multilingual Neural Machine Translation.
.-?Machine Translation Evaluation.
.-?CCMT2024 Tibetan-Chinese Machine Translation Evaluation Technical Report.
.-?HW-TSC's Submission to the CCMT 2024 Machine Translation Task.
.-?ISTIC's Neural Machine Translation Systems for CCMT' 2024.
.-?Lan-Bridge's Submission to CCMT 2024 Translation Evaluation Task.
.-?Technical Report of OPPO's Machine Translation Systems for CCMT 2024.
.-?Xihong's Submission to CCMT 2024: Human-in-the-Loop Data Augmentation for Low-Resource Tibetan-Chinese NMT.