![]() Given the potential ambiguity of the source text and the inadequacies of current machine translation techniques, translation errors can't be avoided. This kind of stochastic tool will generally be able to present the user with numerous translation predictions of various lengths. Finally, some experiments have been done with rescoring techniques based on a machine learning approach ( publications). ( publications) explored various word-based and, more recently, some phrase-based and translation memory approaches to modeling, and different decoding strategies. Various strategies to tackle this problem have focussed on improving the statistical translation models and decoding techniques.Īn innovative Maximum Entropy approach for fast text prediction of sentence fragments was proposed by Foster et al. There is often a trade-off to be made between accuracy and prediction speed. ![]() The more accurate the predictions are, the better the chances the user will accept them and save typing time. Accuracy and speed of the translation predictions. The RALI's past and present work within this project have revolved around all of these axes. In order for such a tool to actually speed up the translation process and not hinder it, there are several important factors that come into play. The Technology: realizations and challenges
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