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  1. Neural machine translation - Wikipedia › wiki › Neural_machine_translation

    From Wikipedia, the free encyclopedia 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.

  2. Google Neural Machine Translation - Wikipedia › wiki › Google_Neural_Machine

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

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  4. Machine translation - Wikipedia › wiki › Machine_translation

    Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation or interactive translation), is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one language to another.

  5. DeepL Translator - Wikipedia › wiki › Draft:DeepL_Translator

    From Wikipedia, the free encyclopedia (Redirected from Draft:DeepL Translator) DeepL Translator is a free neural machine translation service launched on 28 August 2017 and developed by DeepL GmbH (Linguee), based in Cologne, Germany. It has received positive press asserting that it is more accurate and nuanced than Google Translate.

    • 12 languages
    • Linguee
  6. Neural machine translation — Wikipedia Republished // WIKI 2 › en › Neural_machine_translation

    From Wikipedia, the free encyclopedia 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.

  7. Google Translate - Wikipedia › wiki › Google_Translate

    Google Translate is a free multilingual neural machine translation service developed by Google, to translate text and websites from one language into another.It offers a website interface, a mobile app for Android and iOS, and an application programming interface that helps developers build browser extensions and software applications.

    • Optional
    • 109 languages, see below
    • Over 500 million people daily
    • Google
  8. Artificial neural network - Wikipedia › wiki › Artificial_neural_network

    An artificial neural network is an interconnected group of nodes, inspired by a simplification of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another.

  9. Deep learning - Wikipedia › wiki › Deep_net

    Neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. As of 2017, neural networks typically have a few thousand to a few million units and millions of connections.

  10. A Gentle Introduction to Neural Machine Translation › introduction-neural
    • What Is Machine Translation?
    • What Is Statistical Machine Translation?
    • What Is Neural Machine Translation?
    • Summary

    Machine translation is the task of automatically converting source text in one language to text in another language.— Page 98, Deep Learning, 2016.Given a sequence of text in a source language, there is no one single best translation of that text to another language. This is because of the natural ambiguity and flexibility of human language. This makes the challenge of automatic machine translation difficult, perhaps one of the most difficult in artificial intelligence:— Page 21, Artificial I...

    Statistical machine translation, or SMT for short, is the use of statistical models that learn to translate text from a source language to a target language gives a large corpus of examples.This task of using a statistical model can be stated formally as follows:— A Statistical Approach to Machine Translation, 1990.This formal specification makes the maximizing of the probability of the output sequence given the input sequence of text explicit. It also makes the notion of there being a suite...

    Neural machine translation, or NMT for short, is the use of neural network models to learn a statistical model for machine translation.The key benefit to the approach is that a single system can be trained directly on source and target text, no longer requiring the pipeline of specialized systems used in statistical machine learning.— Neural Machine Translation by Jointly Learning to Align and Translate, 2014.As such, neural machine translation systems are said to be end-to-end systems as onl...

    In this post, you discovered the challenge of machine translation and the effectiveness of neural machine translation models.Specifically, you learned: 1. Machine translation is challenging given the inherent ambiguity and flexibility of human language. 2. Statistical machine translation replaces classical rule-based systems with models that learn to translate from examples. 3. Neural machine translation models fit a single model rather than a pipeline of fine tuned models and currently achie...

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