Applied Mathematics and Nonlinear Sciences (Jan 2023)

Automatic Knowledge Integration Method of English Translation Corpus Based on Kmeans Algorithm

  • Liang Ping,
  • Al Bayatti Hilal

DOI
https://doi.org/10.2478/amns.2022.2.00019
Journal volume & issue
Vol. 8, no. 1
pp. 381 – 388

Abstract

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We propose a feature extraction method based on the Kmeans algorithm based on the text characteristics in the English translation corpus. The article first uses a sparse autoencoder unsupervised learning method to reduce dimensionality. It then uses the Kmeans clustering algorithm for text clustering. The experimental results prove that the text features extracted by the sparse autoencoder based on the Kmeans algorithm can be used for English translation corpus knowledge clustering to achieve automatic integration. And this method can effectively solve the problems of high-dimensional, sparse, and noisy texts in the English translation corpus. The algorithm mentioned in the article can significantly improve the accuracy of the clustering results.

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