Radiological reporting has already been identified as a field in which voice technologies can prove to be very useful. Recent progress in automatic speech recognition and in hardware and software technology makes it possible to build large-vocabulary, continuous speech, speaker-independent, real-time systems. In this paper a dictation system for radiology reporting, the A.Re.S. system, is presented. A.Re.S. is a "software only" system which runs in real-time on an HP 715 workstation. It relies on an asynchronous and multi-process architecture in which speech decoding is performed by processes in pipeline. System requirements and architecture will be described, together with the results of a preliminary evaluation based on three months of on-site testing. I. INTRODUCTION Recent progress in Automatic Speech Recognition (ASR) and in hardware and software technology makes it possible to build large-vocabulary, real-time, speaker-independent systems. Medical document generation presents f...

he multilingual problems just 282 Chapter 8: Multilinguality identified, the only one that might possibly be treated with a character-oriented model is that of language identification. The remainder trade in an essential way on equivalences, or near equivalences, among words, sentences, and texts mediated through their meaning. Language processing of this kind is notoriously difficult and it behooves us to start by considering, however cursorily, why this is. We will do this in the context of translation, though what we say is true for the most part of the other tasks mentioned. The question of why translation should have been so successful in resisting the most determined efforts to automate it for close to forty years is complex and sometimes quite technical. But it is not a mystery. The basic problems have long been known and, the most important thing that has been learnt about them recently is that they are more severe and more widespread than was first thoug

this paper, we are essentially Interested in the language model Implemented in the linguistic component, and we leave aside the acoustic module. More precisely, we aim at Improving this linguistic model by coupling the ADS with a syntactic parser, able to diagnose and correct grammatical errors. We describe the characteristics of such a coupling, and show how the performance of the ADS improves with the actual coupling realized for French between the Tangore ADS and the grammar checker developed at the IBM France Scientific Center

. Speech recognition has proved to be a natural interaction modality and an effective technology for medical reporting, in particular in the speciality of radiology. High-volume text creation requirement and the complex structure of these texts make voice technologies useful. By employing speech, professionals in the field can generate reports and do so at a speed that approaches traditional dictation methods. However, the integration of speech recognition in a user interface creates new problems: speech recognizers may introduce errors and moreover they should be adaptable to spoken language variations. This paper describes a radiological reporting system and the related motivations for the use of the speech modality. A preliminary evaluation of the system has shown that, on average, although text recalling functions and keyword shortcuts are available, more than two thirds of a radiological report are generated by means of dictation. 1 Introduction Recent progress in Automatic Speec...