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2. SYSTRAN - Wikipedia

   en.wikipedia.org/wiki/SYSTRAN

   With its origin in the Georgetown machine translation effort, SYSTRAN was one of the few machine translation systems to survive the major decrease of funding after the ALPAC Report of the mid-1960s. The company was established in La Jolla in California to work on translation of Russian to English text for the United States Air Force during the ...

3. METEO System - Wikipedia

   en.wikipedia.org/wiki/METEO_System

   The METEO System is a machine translation system specifically designed for the translation of the weather forecasts issued daily by Environment Canada. [1] The system was used from 1981 to 30 September 2001 by Environment Canada to translate forecasts issued in French in the province of Quebec into English and those issued in English in other Canadian provinces into French. [2]

4. History of machine translation - Wikipedia

   en.wikipedia.org/wiki/History_of_machine_translation

   The METEO System, developed at the Université de Montréal, was installed in Canada in 1977 to translate weather forecasts from English to French, and was translating close to 80,000 words per day or 30 million words per year until it was replaced by a competitor's system on 30 September 2001.

5. 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.

6. Machine translation - Wikipedia

   en.wikipedia.org/wiki/Machine_translation

   Statistical machine translation tried to generate translations using statistical methods based on bilingual text corpora, such as the Canadian Hansard corpus, the English-French record of the Canadian parliament and EUROPARL, the record of the European Parliament. Where such corpora were available, good results were achieved translating similar ...

7. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Among the top 100 words in the English language, which make up more than 50% of all written English, the average word has more than 15 senses, [134] which makes the odds against a correct translation about 15 to 1 if each sense maps to a different word in the target language. Most common English words have at least two senses, which produces 50 ...

8. Babel Fish (website) - Wikipedia

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

   Yahoo! Babel Fish was a free Web-based machine translation service by Yahoo!. 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 Microsoft outright.

9. Google Neural Machine Translation - Wikipedia

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

   Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...