Example based machine translation with type associated translation examples
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Example based machine translation is a translation technique that leans on machine learning paradigm. This technique had been modeled by the learning process as: a man is given short and simple sentences in language A with their correspondences in language B; he memorizes these pairs and then becomes able to translate new sentences via these pairs in the memory. In our system the translation pairs are kept as translation templates. A translation template is induced from given two translation examples by replacing differing parts in these examples by variables. A variable replacing a difference that consists of two differing parts (one from the first example, and the other one from the second example) is a generalization of those two differing parts and these variables are supported with part-of-speech tag information in order to deteriorate incorrect translations. After the learning phase, translation is achieved by finding the appropriate template(s) and replacing the variables.
KeywordsExample Based Machine Translation
Type Associated Translation Template Induction