计算机科学与探索2025，Vol.19Issue(10)：2635-2647,13.DOI:10.3778/j.issn.1673-9418.2410024
零样本多语言神经机器翻译综述
Survey of Zero-Shot Multilingual Neural Machine Translation
摘要
Abstract
In multilingual neural machine translation,zero-shot translation is an important research direction,which aims to enable the model to translate language pairs that have never been seen during the training process,and realize cross-lingual transfer learning.However,existing multilingual models still face problems such as semantic bias,unstable translation quality,and asymmetric language direction when dealing with unseen language pairs,which seriously affects the reliability and consistency of translation results.In order to systematically sort out the current research status in this field,this paper reviews the core issue of"the impact of multilingual model construction method on zero-shot translation performance",aiming to provide theoretical support and methodological reference for subsequent researchers.Zero-shot translation is of great significance for training translation tasks in corpus-poor languages,which reduces the translation cost to a great extent.This paper firstly introduces the research background,basic definition,core principles of zero-shot translation and its practical application value in the scenarios of cross-cultural communication and new language support from the perspective of corpus resources.Then,for the current mainstream zero-shot translation modelling methods,this paper introduces the three directions of constructing multilingual neural machine translation based on pre-trained model,bilingual supervised training and large language model.Finally,this paper analyzes the future research trend of zero-shot translation in multilingual neural machine translation to provide reference for further research in this field.关键词
零样本翻译/预训练模型/双语监督训练/大语言模型/多语言神经机器翻译Key words
zero-shot translation/pre-trained model/bilingual supervised training/large language model/multilingual neural machine translation分类
信息技术与安全科学引用本文复制引用
肖增,王斯日古楞,斯琴图..零样本多语言神经机器翻译综述[J].计算机科学与探索,2025,19(10):2635-2647,13.基金项目
国家自然科学基金(61762072) （61762072）
内蒙古自然科学基金(2022MS06002,2024LHMS06024).This work was supported by the National Natural Science Foundation of China(61762072),and the Natural Science Foundation of Inner Mongolia(2022MS06002,2024LHMS06024). （2022MS06002,2024LHMS06024）
