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AN/GSQ-16 Automatic Language Translator 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.
Apertium is a transfer-based machine translation system, which uses finite state transducers for all of its lexical transformations, and Constraint Grammar taggers as well as hidden Markov models or Perceptrons for part-of-speech tagging / word category disambiguation. [2] A structural transfer component is responsible for word movement and agreement; most Apertium language pairs up until now ...
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 ...
Interactive machine translation. Interactive machine translation ( IMT ), is a specific sub-field of computer-aided translation. Under this translation paradigm, the computer software that assists the human translator attempts to predict the text the user is going to input by taking into account all the information it has available.
Georgetown–IBM experiment. The Georgetown–IBM experiment was an influential demonstration of machine translation, which was performed on January 7, 1954. Developed jointly by the Georgetown University and IBM, the experiment involved completely automatic translation of more than sixty Russian sentences into English. [1][2]
Interlinear gloss. In linguistics and pedagogy, an interlinear gloss is a gloss (series of brief explanations, such as definitions or pronunciations) placed between lines, such as between a line of original text and its translation into another language. When glossed, each line of the original text acquires one or more corresponding lines of ...
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