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Statistical techniques and grammatical inference have been used for dealing with automatic speech recognition with success, and can also be used for speech-to-speech machine translation. In this paper, new advances on a method for finite-state transducer inference are presented. This method has been tested experimentally in a speech-input translation task using a recognizer that allows a flexible use of models by means of efficient algorithms for on-thefly transducer composition. These are thedoi:10.21437/interspeech.2005-724 fatcat:xjoewxg7tjf6rlzhhk524lv7xy