Machine Translation

Machine Translation

20th China Conference, CCMT 2024, Xiamen, China, November 8-10, 2024, Proceedings

Chen, Yidong; He, Zhongjun

Springer Nature Switzerland AG

02/2025

176

Mole

Inglês

9789819622917

15 a 20 dias

Descrição não disponível.
.- 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.
Machine Translation;Neural Machine Translation;Large Language Models;Machine Translation Evaluation;Translation Quality Estimation;Multi-modal Machine Translation;Natural Language Processing (NLP);Automatic Post-editing;Multilingual Machine Translation;Translation Corpus Construction;Low-resource Machine Translation