基于AI翻译模型和深度学习技术的语言信号识别研究  

Research on language signal recognition based on AI translation model and deep learning technology

作　　者：朱柯嘉[1] ZHU Kejia(Xi’an Fanyi University,Xi’an 710000,China)

机构地区：[1]西安翻译学院,西安710000

出　　处：《自动化与仪器仪表》2025年第1期304-308,共5页Automation & Instrumentation

基　　金：陕西省教育科学规划课题《基于OBE理念的多语种课程思政实践路径研究》(SGH23Q0354)。

摘　　要：西班牙语是全球使用人数较多的语言之一,有超过4亿人将其作为母语使用,故西班牙语在国际交流、商务、旅游等领域具有重要地位。但目前对于西班牙语的识别方法精度不高,为了提高对西班牙语的识别精确度,研究提出基于人工智能翻译模型和深度学习技术的新型西班牙语识别模型。对翻译模型进行验证,结果显示,模型1在迭代次数为300次时的翻译准确率为0.94,显著高于对比模型。随后对新型西班牙语信号识别模型进行对比实验发现,该模型的识别时间和拟合度系数分别为37.8 s和0.9531,显著优于对比模型。上述结果表明,研究提出的西班牙语信号识别模型识别效果较好,能够有效提高西班牙语的识别准确率,从而促进国际交流与合作。Spanish is one of the most spoken languages in the world,with more than 400 million people speaking it as their mother tongue,so Spanish has an important position in international communication,business,tourism and other fields.However,the accuracy of current Spanish recognition methods is not high.In order to improve the accuracy of Spanish recognition,a new Spanish recognition model based on artificial intelligence translation model and deep learning technology is proposed.The results show that the translation accuracy of model 1 is 0.94 when the number of iterations is 300,which is significantly higher than that of the comparison model.The comparison experiment of the new Spanish signal recognition model shows that the recognition time and fitting coefficient of the model are 37.8 s and 0.9531 respectively,which is significantly better than the comparison model.The above results show that the Spanish signal recognition model proposed in this study has a good recognition effect,and can effectively improve the recognition accuracy of Spanish,so as to promote international communication and cooperation.

关 键 词：翻译 TRANSFORMER LSTM 西班牙语 识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]