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  2. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Bing Microsoft Translator (previously Live Search Translator, Windows Live Translator, and Bing Translator) [19] is a user-facing translation portal provided by Microsoft as part of its Bing services to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator, a neural machine ...

  3. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation. Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [1] : 293 [2] : 1 and can produce translations that rival ...

  4. Comparison of machine translation applications - Wikipedia

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

    Free, commercial (varies by plan) 3.0: No: 50+ Both rule-based and statistical models developed by IBM Research. Neural machine translation models available through the Watson Language Translator API for developers. Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural machine ...

  5. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is an interdisciplinary subfield of computer science and artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

  6. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    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. These methods have since been superseded by neural machine translation [1] and large language models ...

  7. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    Google Translate's NMT system uses a large artificial neural network capable of deep learning. [ 1 ] [ 2 ] [ 3 ] By using millions of examples, GNMT improves the quality of translation, [ 2 ] using broader context to deduce the most relevant translation.

  8. Microsoft opens limited access to its neural text-to-speech AI

    www.aol.com/news/microsoft-custom-neural-voice...

    AT&T and Warner Bros. used the tech to create an interactive version of Bugs Bunny.

  9. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    t. e. A large language model ( LLM) is a computational model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification. Based on language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a computationally ...