Work

Adapting a medical speech to speech translation system (MedSLT) to Arabic

Year: 2007

Type: conference-paper

Abstract: We describe the adaptation for Arabic of the grammar-based MedSLT medical speech system. The system supports simple medical diagnosis questions about headaches using vocabulary of 322 words. We show that the MedSLT architecture based on motivated general grammars produces very good results, with a limited effort. Based on the grammars for other languages covered by the system, it is in fact very easy to develop an Arabic grammar and to specialize it efficiently for the different system tasks. In this paper, we focus on generation.

DOI: 10.3115/1654576.1654584

Authors: Pierrette Bouillon, Sonia Halimi, Manny Rayner, Beth Ann Hockey

Institutions: University of Geneva, Ames Research Center, University of California, Santa Cruz

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W2420235463

FWCI: 0.433

Cites: 9

Cited by: 3

Related to: 10