A new approach to speech-input statistical translation
Ismael García-Varea, Albert Sanchís, Francisco Casacuberta · 2002
Statistical pattern recognition is a promising framework for text-to-text translation. However, a natural extension to speech-input translation is not straightforward. We present a method to deal with the speech input statistical translation problem that could be considered as a step towards a fully integrated recognition-translation procedure. In this version a word graph was used in the input as a representation of the acoustic of a given utterance. As a case study, experimental results with the so-called "Traveller task" are presented by using a text-input statistical translator.