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A machine translation application is a program that attempts to translate text or speech from one natural language to another Machine translation applications have become relevant to the modern language industry Please see the individual products' articles for further information Contents 1 General information 2 Languages features comparison 3 See also 4 References General information Basic general information for popular Machine translation applications Name Platform License Price ...

Interlingual machine translation is one of the classic approaches to machine translation In this approach, the source language, ie the text to be translated is transformed into an interlingua, ie, an abstract language-independent representation The target language is then generated from the interlingua Within the rule-based machine translation paradigm, the interlingual approach is an alternative to the direct approach and the transfer approach In the direct approach, words are translated direc...

Franz Josef Och November 2, 1971 is a German computer scientist He is currently working as Director at Facebook[1] Prior to this he was Head of Data Science at Grail an Illumina company,[2] Chief Data Scientist[3] at Human Longevity Inc, and earlier worked for Google as a Distinguished Research Scientist and head of machine translation based at Google's Mountain View, California, headquarters south of San Francisco Life and work He studied computer science at the Univers...

Word Lens was an augmented reality translation application from Quest Visual[1] Word Lens used the built-in cameras on smartphones and similar devices to quickly scan and identify foreign text such as that found in a sign or a menu, and then translate and display the words in another language on the device's display The words were displayed in the original context on the original background, and the translation was performed in real-time without connection to the internet For example, u...

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[1][2][3][4] GNMT improves on the quality of translation by applying an example based EBMT machine translation method in which the system "learns from millions of examples"[2] GNMT's proposed architecture of system learning was first ...