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  1. 24 mar 2024 · Key metrics include BLEU (Bilingual Evaluation Understudy), METEOR (Metric for Evaluation of Translation with Explicit ORdering), and TER (Translation Edit Rate). These metrics measure aspects like word overlap, precision, recall, and fluency, offering a quantitative assessment of translation performance.

  2. Specifically, the experimental results showed that the translation model combining deep learning and RBF algorithm achieved a translation accuracy of 90% and sentence similarity of 80%. The translation accuracy of using deep learning models alone was 75%, and sentence similarity was 70%; the translation accuracy using RBF algorithm alone was 80 ...

  3. 16 paź 2024 · It’s refers to an unamused, annoyed, or disdainful resting facial expression. Some research indicates that RBF is real. People sometimes detect contempt in others’ resting facial expressions, even when the person isn't feeling contempt.

  4. 17 wrz 2019 · This study aims to analyse how translation experts from the German department of the European Commission’s Directorate-General for Translation (DGT) identify and correct different error categories in neural machine translated texts (NMT) and their post-edited versions (NMTPE).

  5. 31 sie 2020 · A quality translation is a translation that has three characteristics, namely accuracy, readability, and acceptability.

  6. 12 mar 2024 · MT uses software to translate text or speech from one language to another. It also automates the translation process using machine learning (ML) and AI to draw from vast amounts of language data. When to use machine translation software.

  7. academic.oup.com › edited-volume › 4264335 Machine Translation

    1 kwi 2014 · Machine Translation (MT) is the field in language processing concerned with the automatic translation of texts from one (source) language into another (target) language. MT is one of the oldest applications of computer science, dating back to the late 1940s.

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