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With the development of computer technology, intelligent translation platforms are more and more widely used in daily life. The optimization of intelligent translation platforms based on neural network algorithms has become a revolutionary innovation in the field of intelligent Machine translation. In order to solve the problem that the traditional intelligent translation platform does not have enough in-depth analysis of the surface attributes of words, the induction of the laws of Language construct is not comprehensive enough, and the control of details in language translation is not accurate enough. This has led to issues such as translation results not meeting user expectations, and has led to a systematic exploration of the data collection methods and workflow of traditional intelligent translation platforms. The paper have deeply recognized the shortcomings and optimization directions of intelligent translation platforms. This paper optimizes the data collection method and workflow of the intelligent translation platform based on Convolutional neural network algorithm, further improves the working efficiency of the intelligent translation platform, and promotes the improvement of the innovation level of the intelligent translation platform. Finally, in order to verify the performance improvement of the optimized intelligent translation platform, this article conducts application experiments on the optimized intelligent translation platform. The experimental results show that compared to traditional intelligent translation platforms, optimizing the intelligent translation platform under the same conditions takes less time to complete tasks, has better translation quality, and improves the evaluation of translation application effectiveness by about 6.8%. Compared to traditional intelligent translation platforms, the optimized intelligent translation platform in this article has higher learning ability, clearer underlying logical analysis for collecting language data, more obvious textual attributes of translated paragraphs, and improved speed and quality of translation work.

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Intelligent Translation Platform Based on Neural Network Algorithms

  • 会议论文

  • 发表日期：

    2025年

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  • Yuting Xin

摘要

With the development of computer technology, intelligent translation platforms are more and more widely used in daily life. The optimization of intelligent translation platforms based on neural network algorithms has become a revolutionary innovation in the field of intelligent Machine translation. In order to solve the problem that the traditional intelligent translation platform does not have enough in-depth analysis of the surface attributes of words, the induction of the laws of Language construct is not comprehensive enough, and the control of details in language translation is not accurate enough. This has led to issues such as translation results not meeting user expectations, and has led to a systematic exploration of the data collection methods and workflow of traditional intelligent translation platforms. The paper have deeply recognized the shortcomings and optimization directions of intelligent translation platforms. This paper optimizes the data collection method and workflow of the intelligent translation platform based on Convolutional neural network algorithm, further improves the working efficiency of the intelligent translation platform, and promotes the improvement of the innovation level of the intelligent translation platform. Finally, in order to verify the performance improvement of the optimized intelligent translation platform, this article conducts application experiments on the optimized intelligent translation platform. The experimental results show that compared to traditional intelligent translation platforms, optimizing the intelligent translation platform under the same conditions takes less time to complete tasks, has better translation quality, and improves the evaluation of translation application effectiveness by about 6.8%. Compared to traditional intelligent translation platforms, the optimized intelligent translation platform in this article has higher learning ability, clearer underlying logical analysis for collecting language data, more obvious textual attributes of translated paragraphs, and improved speed and quality of translation work.