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  1. Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages.

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      Machine translation is a sub-field of computational...

  2. 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.

  3. Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another. In the 1950s, machine translation became a reality in research, although references to the subject can be found as early as the 17th century.

  4. Google Neural Machine Translation (en español: Traducción automática neuronal de Google) es una tecnología de Google presentada en septiembre de 2016, que utiliza deep learning para producir mejores traducciones entre diferentes lenguajes; la traducción automática neuronal de Google puede, por ejemplo, traducir entre dos idiomas ...

  5. La traducción automática ( TA o MT, esta última del inglés machine translation) es un área de la lingüística computacional que investiga el uso de software para traducir texto o habla de un lenguaje natural a otro.

  6. Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.

  7. 26 de sept. de 2023 · It’s an AI technology that uses large language models to break data into segments for processing. It suggests context-based translations predicting which words will come next. Neural machine translation uses data sets that have previously been professionally translated from one language into another.