Abstract
In order to improve the quality of translation teaching, this study combines computer-aided translation technology to construct a translation teaching system, uses digital signal processing as a technical means to process waveform data online, and designs digital models for signal flow. Moreover, this study designs a digital filter to suppress waveform noise to improve the accuracy of amplitude measurement and uses a hardware algorithm for accumulating shift and averaging to correct the baseline stacking effect in real time. In addition, this study builds an intelligent translation software system with the support of algorithms in combination with translation requirements and conducts experimental verification of translation digital processing. Finally, the simulation experiment verifies the digital translation processing effect of the method in this study, and the application effect of computer-aided translation technology in translation teaching is verified through teaching evaluation research.
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