Analysis of the feasibility and advantages of using big data technology for English translation

Hu, Jing

doi:10.1007/s00500-023-07857-y

Cited by 5 publications

(1 citation statement)

References 20 publications

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“…The use of fuzzy approaches is common when dealing with programmatic issues. Decisions are often better made with the help of fuzzy strategies 7 . In order to make English translation systems more efficient, fuzzy approaches are used.…”

Section: Abstract Deep Learning English Translation Fuzzy Algorithm P...mentioning

confidence: 99%

Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation

Han

2024

Sci Rep

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A remote English translation is used for assisting with on-demand support for adaptable sentence conversion and language understanding. The problem with on-demand translations is the precision verification of the words used. This article addresses the precision problem by assimilating deep learning and fuzzy decision algorithm for remote translation support. The method named Fusion-dependent Precision Translation Approach (FPTA) conducts a series of recurrent validations on word usage and sentence completion for the given inputs. First, the completed sentences are verified using the understandability and meaning intended using deep learning in two recurrent layers. The first layer is responsible for identifying word placement and understandability and the second is responsible for meaning verification. The recurrent training is tuned using a fuzzy decision algorithm by selecting the maximum best-afford solution. The constraint’s understandability and meaning are augmented for tuning the outputs by preventing errors consequently. In precise, the error sequences are identified from the first layer for fuzzification across various inputs. This process improves the word adaptability from different languages reducing errors (12.49%) and improves the understandability (11.57%) for various translated sentences.

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Section: Abstract Deep Learning English Translation Fuzzy Algorithm P...mentioning

confidence: 99%

Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation

Han

2024

Sci Rep

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Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals

Pamucar,

Simic,

Görçün

et al. 2024

Expert Systems with Applications

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An analysis of English learning behavior based on big data and its impact on teaching

Yan,

Chen,

Wang

2024

JCM

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This study explores the application of big data in the field of English learning, focusing on its influence on the analysis of English learning behavior and the effect of teaching intervention. Through experimental design and data analysis, the research results show that big data analysis can reveal the learning behavior pattern of learners, and provide personalized teaching intervention according to individual characteristics, so as to improve the learning effect. The study also found that the experimental group received personalized teaching intervention, English learners’ academic performance and learning motivation significantly improved. However, this study faces the limitations of sample representativeness and consistency of teaching interventions. Future studies can further expand the sample size and strengthen teacher training to improve the generalization and reliability of research results.

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Analysis of the feasibility and advantages of using big data technology for English translation

Cited by 5 publications

References 20 publications

Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation

Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation

Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals

An analysis of English learning behavior based on big data and its impact on teaching

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