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SYSTRAN, founded by Dr. Peter Toma in 1968, [1] is one of the oldest machine translation companies. SYSTRAN has done extensive work for the United States Department of Defense and the European Commission.
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IBM's Automatic Language Translator was a machine translation system that converted Russian documents into English.It used an optical disc that stored 170,000 word-for-word and statement-for-statement translations and a custom computer to look them up at high speed.
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.
The idea behind statistical machine translation comes from information theory.A document is translated according to the probability distribution (|) that a string in the target language (for example, English) is the translation of a string in the source language (for example, French).
Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages.
Date/Time Thumbnail Dimensions User Comment; current: 20:48, 11 February 2023: 512 × 191 (9 KB): Aerrapc {{Information |Description={{User:Zhing'za zï Ïnin/trans note}} {{ar|هذا هو شعار SYSTRAN.}} {{be|Гэта лагатып SYSTRAN.}} {{de|Dies ist das Logo von SYSTRAN.}} {{el|Αυτό είναι το λογότυπο του SYSTRAN.}} {{en|This is the logo of SYSTRAN.}} {{eo|Jen ...
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.