摘要
随着全球化进程的加速以及人工智能技术的迅猛发展,机器翻译在跨语言交流中的地位日益重要。然而,传统机器翻译系统在翻译质量、交互性和领域适应性方面存在显著缺陷。为了解决这些问题,设计并实现了一款基于ChatGPT的交互式机器翻译系统。该系统采用分层架构,集成ChatGPT API、语音识别与合成技术、OCR技术以及MySQL数据库,具备文本翻译、语音翻译、图像翻译、交互式翻译和翻译记忆库等核心功能。通过多层次的用户需求分析,系统不仅支持多语言互译和实时翻译,还提供术语库自定义、翻译记忆库等高级功能,以满足普通用户和专业用户的不同需求。
With the acceleration of globalization and the rapid development of artificial intelligence technology,machine translation has become increasingly crucial in cross-language communication.However,traditional machine translation systems exhibit significant shortcomings in translation quality,interactivity,and domain adaptability.To address these issues,this paper designs and implements a ChatGPT-based interactive machine translation system.The system adopts a layered architecture that integrates the ChatGPT API,speech recognition and synthesis technology,OCR technology,and a MySQL database.It features core functionalities including text translation,speech translation,image translation,interactive translation,and a translation memory.Through multi-level user needs analysis,the system not only supports multi-language mutual translation and real-time translation but also provides advanced features such as custom terminology databases and translation memories to meet the diverse requirements of both general users and professionals.
作者
王尚
WANG Shang(Guiyang Institute of Information Science and Technology,Guiyang,Guizhou 550025,China)
出处
《自动化应用》
2025年第16期37-40,共4页
Automation Application
