A basic overview is presented of the main ongoing efforts in large vocabulary, continuous speech recognition (LVCSR) for European languages. We address issues in acoustic modeling, lexical representation, and language modeling for several European languages, as well as issues in comparative evaluation.

Subsequential transducers constitute a formal model for translation that may be considered perhaps too simple to model translation between natural languages. However, their capability can suffice in limited-domain translation tasks. The finitestate nature of subsequential transducers makes their integration with well-known Continuous Speech Recognition technology both easy and efficient. A recent algorithm allows the automatic learning of these transducers, given a sufficiently large set of examples of sentences and their corresponding translations, and it also allows the incorporation of syntactic restrictions of the input and/or output languages. In this paper, we describe an implementation of a Speech Translation System for limited domains which is fully trainable and capable of real time translation from speech input.