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September 17, 2025The Explora

Evaluation of Register-Based Machine Translation Using Text Classification Methods

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Authors

AMAsnia MatondangSTSamaria TambunanRSRizka Simanjutak

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Overview

This research demonstrates improved translation accuracy and register consistency in machine translation systems, suggesting critical insights for evaluation frameworks.

Key Points

  • Register-aware machine translation significantly enhances translation quality and contextual relevance.
  • Using a dataset with various domains, the study classified texts to evaluate register-specific correctness.
  • Evaluation focuses on linguistic features and translation accuracy to ensure register consistency.
  • Integrating text classification into machine translation evaluation frameworks can guide future developments.

Cite This Study

Matondang et al. (2025) studied this question.

synapsesocial.com/papers/68d45e6a31b076d99fa5efcchttps://doi.org/10.51622/explora.v11i2.2917
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