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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 ...
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.
Web translation tool: The world's first web translation tool, Babel Fish, has launched as a subdomain of the AltaVista search engine. The tool was created by Systran in collaboration with Digital Equipment Corporation. [12] [13] 2006: April: Web translation tool: Google Translate has launched. [14] 2017: August: Web translation tool: DeepL ...
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 ...
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]
OpenLogos is an open source program that translates from English and German into French, Italian, Spanish and Portuguese. It accepts various document formats and maintains the format of the original document in translation. OpenLogos does not claim to replace human translators; rather, it aims to enhance the human translator's work environment.
Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target languages basically retrieved from (unilingual, bilingual or multilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively.
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.
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