Homesessive Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Babel Fish (website) - Wikipedia

    en.wikipedia.org/wiki/Babel_Fish_(website)

    Babel Fish was a free Web -based multilingual machine translation service of Yahoo! site. In May 2012 it was replaced by Bing Translator (now Microsoft Translator ), to which queries were redirected. [1] Although Yahoo! has transitioned its Babel Fish translation services to Bing Translator, it did not sell its translation application to ...

  3. Multimedia translation - Wikipedia

    en.wikipedia.org/wiki/Multimedia_translation

    Multimedia translation can be applied to various fields, including cinema, television, theatre, advertisement, audiovisual and mobile device communication. Audiovisual text can be labeled as multimodal when produced and interpreted by applying a variety of semiotic resources or ‘modes’. [2]

  4. Universal translator - Wikipedia

    en.wikipedia.org/wiki/Universal_translator

    In Star Trek, the universal translator was used by Ensign Hoshi Sato, the communications officer on the Enterprise in Star Trek: Enterprise, to invent the linguacode matrix. It was supposedly first used in the late 22nd century on Earth for the instant translation of well-known Earth languages.

  5. Google Neural Machine Translation - Wikipedia

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

    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.

  6. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/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.

  7. Comparison of machine translation applications - Wikipedia

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

    The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

  8. Rosetta (software) - Wikipedia

    en.wikipedia.org/wiki/Rosetta_(software)

    Type. Binary translation, emulation. Rosetta is a dynamic binary translator developed by Apple Inc. for macOS, an application compatibility layer between different instruction set architectures. It enables a transition to newer hardware, by automatically translating software.

  9. Intermediate representation - Wikipedia

    en.wikipedia.org/wiki/Intermediate_representation

    An intermediate representation (IR) is the data structure or code used internally by a compiler or virtual machine to represent source code. An IR is designed to be conducive to further processing, such as optimization and translation.

  10. History of machine translation - Wikipedia

    en.wikipedia.org/wiki/History_of_machine_translation

    History of machine translation. 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.

  11. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate can translate multiple forms of text and media, which includes text, speech, and text within still or moving images. Specifically, its functions include: Written Words Translation: a function that translates written words or text to a foreign language.