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  2. BLEU - Wikipedia

    en.wikipedia.org/wiki/BLEU

    BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.

  3. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    The quality of Microsoft Translator's machine translation outputs are evaluated using a method called the BLEU score. [ 11 ] BLEU (Bilingual Evaluation Understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another.

  4. Evaluation of machine translation - Wikipedia

    en.wikipedia.org/wiki/Evaluation_of_machine...

    BLEU was one of the first metrics to report a high correlation with human judgments of quality. The metric is currently one of the most popular in the field. The central idea behind the metric is that "the closer a machine translation is to a professional human translation, the better it is". [8]

  5. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne -based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.

  6. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    Despite this, GPT-2 achieved 5 BLEU on the WMT-14 English-to-French test set (slightly below the score of a translation via word-for-word substitution). It was also able to outperform several contemporary (2017) unsupervised machine translation baselines on the French-to-English test set, where GPT-2 achieved 11.5 BLEU.

  7. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Kural translations by language. v. t. e. Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical.

  8. Microsoft Bing - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Bing

    Microsoft Bing, commonly referred to as Bing, is a search engine owned and operated by Microsoft. The service traces its roots back to Microsoft's earlier search engines, including MSN Search, Windows Live Search, and Live Search. Bing offers a broad spectrum of search services, encompassing web, video, image, and map search products, all ...

  9. NIST (metric) - Wikipedia

    en.wikipedia.org/wiki/NIST_(metric)

    NIST is a method for evaluating the quality of text which has been translated using machine translation. Its name comes from the US National Institute of Standards and Technology. It is based on the BLEU metric, but with some alterations. Where BLEU simply calculates n-gram precision adding equal weight to each one, NIST also calculates how ...

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