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Research on Intelligent Construction of Bilingual Translation Corpus Based on Differential Evolution Algorithm

Published: 20 September 2023 Publication History

Abstract

In the construction stage of bilingual translation corpus, due to the lack of analysis of the relationship between the basic corpora, the translation quality is low. Therefore, a research on intelligent construction of bilingual translation corpus based on differential evolution algorithm is proposed. The differential evolution algorithm is used to optimize the reverse learning of bilingual translation corpus, improve the quality of natural language corpus, and expand the search area of corpus to complement the global exploration ability of bilingual translation corpus. The method of random neighborhood variation is used to extract bilingual sentence pairs. From the perspective of diversity to ensure the quality of natural language corpus, the method of adaptive updating is used to establish the relationship between the basic corpus through differentiated neighborhood size and scaling factors, and to extract bilingual sentence pairs.In this test, the translation quality of the designed bilingual translation corpus pair and the sentence level and text level test data is at a high level.

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          ICMSSP '23: Proceedings of the 2023 8th International Conference on Multimedia Systems and Signal Processing
          May 2023
          76 pages
          ISBN:9798400700606
          DOI:10.1145/3613917
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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          Published: 20 September 2023

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          Author Tags

          1. Adaptive update
          2. Bilingual translation corpus
          3. Differential evolution algorithm
          4. Optimizing reverse learning
          5. Random neighborhood variation

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          • The phased achievement of the 2022 project of Xi'an Fanyi university Research on the Construction of Web-oriented German ldeological and Political Corpus

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          ICMSSP 2023

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