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维吾尔语机器翻译研究综述

哈里旦木·阿布都克里木 侯钰涛 姚登峰 阿布都克力木·阿布力孜 陈吉尚

计算机工程2024,Vol.50Issue(1):1-16,16.
计算机工程2024,Vol.50Issue(1):1-16,16.DOI:10.19678/j.issn.1000-3428.0068124

维吾尔语机器翻译研究综述

Survey of Uyghur Machine Translation Research

哈里旦木·阿布都克里木 1侯钰涛 1姚登峰 2阿布都克力木·阿布力孜 1陈吉尚1

作者信息

  • 1. 新疆财经大学信息管理学院,新疆 乌鲁木齐 830012
  • 2. 北京联合大学信息服务工程重点实验室,北京 100101
  • 折叠

摘要

Abstract

As one of the important tasks in China's low-resource machine translation research,the development and application of Uyghur machine translation can better promote cultural exchanges and trade between different regions and ethnic groups.However,Uyghur,as an adhesive language,has problems such as complex morphology and a scarce corpus in the field of machine translation.In recent years,at different stages of the development of Uyghur machine translation,researchers have optimized and innovated algorithms and models to address its characteristics and achieved various research results;however,no systematic review has been conducted.The paper comprehensively reviews the related research on Uyghur machine translation and categorizes it into three types according to methods used:rule-and example-based Uyghur machine translation,statistics-based Uyghur machine translation,and neural network-based Uyghur machine translation.Related academic activities and corpus resources are also summarized.To further explore the potential of Uyghur machine translation,the ChatGPT model is adopted as a preliminary attempt of the Uyghur-Chinese machine translation task.The experimental results show that in the Few-shot scenario,the translation performance is higher and then decreases with an increase in the number of examples,and the best performance is for 10-shot.Also,the chain-of-thought approach does not demonstrate better translation ability in the Uyghur machine translation task.Finally,future research directions for Uyghur machine translation are proposed.

关键词

维吾尔语/基于规则和实例的机器翻译/统计机器翻译/神经机器翻译/大语言模型

Key words

Uyghur/rule-and example-based machine translation/statistical machine translation/Neural Machine Translation(NMT)/Large Language Model(LLM)

分类

信息技术与安全科学

引用本文复制引用

哈里旦木·阿布都克里木,侯钰涛,姚登峰,阿布都克力木·阿布力孜,陈吉尚..维吾尔语机器翻译研究综述[J].计算机工程,2024,50(1):1-16,16.

基金项目

国家自然科学基金(61966033,62366050) (61966033,62366050)

国家社会科学基金(21BYY106) (21BYY106)

国家语委一般项目(YB145-25). (YB145-25)

计算机工程

OA北大核心CSTPCD

1000-3428

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