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Machine translation
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===Rule-based=== {{Main|Rule-based machine translation}} The rule-based machine translation approach was used mostly in the creation of [[dictionaries]] and grammar programs. Its biggest downfall was that everything had to be made explicit: orthographical variation and erroneous input must be made part of the source language analyser in order to cope with it, and lexical selection rules must be written for all instances of ambiguity. ====Transfer-based machine translation==== {{Main|Transfer-based machine translation}} Transfer-based machine translation was similar to [[interlingual machine translation]] in that it created a translation from an intermediate representation that simulated the meaning of the original sentence. Unlike interlingual MT, it depended partially on the language pair involved in the translation. ====Interlingual==== {{Main|Interlingual machine translation}} Interlingual machine translation was one instance of rule-based machine-translation approaches. In this approach, the source language, i.e. the text to be translated, was transformed into an interlingual language, i.e. a "language neutral" representation that is independent of any language. The target language was then generated out of the [[interlinguistics|interlingua]]. The only interlingual machine translation system that was made operational at the commercial level was the KANT system (Nyberg and Mitamura, 1992), which was designed to translate Caterpillar Technical English (CTE) into other languages. ====Dictionary-based==== {{Main|Dictionary-based machine translation}} Machine translation used a method based on [[dictionary]] entries, which means that the words were translated as they are by a dictionary.
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