摘要
本研究旨在开发一种基于人工智能技术的语言自动识别系统,能够自动识别输入文本或语音的语言类型,并进行相应的智能处理和反馈。该系统综合运用了整合机器学习、深度学习和自然语言处理等技术,系统能够实现高效、准确和可扩展的语言识别功能,为智能客服、智能翻译等领域提供支持。
This study aims to design and implement an AI-based language automatic recognition system,which is capable of automatically identifying the language type of input text or speech and providing corresponding processing and feedback.By integrating technologies such as machine learning,deep learning,and natural language processing,the system can achieve efficient,accurate,and expandable language recognition functionality,providing support for fields such as intelligent customer service and intelligent translation.
作者
袁浩程
YUAN Haocheng(Department of Computer Science and Engineering,Chinese University of Hong Kong,Hong Kong 999077,China)
出处
《信息与电脑》
2024年第7期87-89,共3页
Information & Computer
关键词
人工智能
语言自动识别
机器学习
深度学习
artificial intelligence
language automatic recognition
machine learning
deep learning