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  2. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    3.4.2: Yes: Rule-based, shallow transfer; all programs and language data are free and open source Babylon: Windows, Mac: Proprietary software: Depends on license ($9.90–$89 for one license) 10.3: No: Prompts to install the Babylon Toolbar, a browser hijacker which is difficult to remove. [2] [3] DeepL: Cross-platform (web application) SaaS

  3. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]

  4. Translator (computing) - Wikipedia

    en.wikipedia.org/wiki/Translator_(computing)

    Translator computing facilitates the conversion between these abstraction levels. [3] Overall, translator computing plays a crucial role in bridging the gap between software and hardware implementations, enabling developers to leverage the strengths of each platform and optimize performance, power efficiency, and other metrics according to the ...

  5. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    The origins of machine translation can be traced back to the work of Al-Kindi, a ninth-century Arabic cryptographer who developed techniques for systemic language translation, including cryptanalysis, frequency analysis, and probability and statistics, which are used in modern machine translation. [3] The idea of machine translation later ...

  6. Evaluation of machine translation - Wikipedia

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

    A typical way for lay people to assess machine translation quality is to translate from a source language to a target language and back to the source language with the same engine. Though intuitively this may seem like a good method of evaluation, it has been shown that round-trip translation is a "poor predictor of quality". [1]

  7. 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.

  8. Source-to-source compiler - Wikipedia

    en.wikipedia.org/wiki/Source-to-source_compiler

    A source-to-source translator, source-to-source compiler (S2S compiler), transcompiler, or transpiler [1] [2] [3] is a type of translator that takes the source code of a program written in a programming language as its input and produces an equivalent source code in the same or a different programming language. A source-to-source translator ...

  9. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 3.12 removed wstr meaning Python extensions [186] need to be modified, [187] and 3.10 added pattern matching to the language. [188] Python 3.12 dropped some outdated modules, and more will be dropped in the future, deprecated as of 3.13; already deprecated array 'u' format code will emit DeprecationWarning since 3.13 and will be removed ...