Year: 2015
Type: article
Abstract: . The continuous improvement of the quality of machine translation and of speech recognition systems opens new perspectives for the development of spoken translation applications. In this study, based on our own experience with the development of Spoken Translation Systems (STS) for conferences, we analyze and quantify the main difficulties raised by STSs, and discuss possible strategies to migitate these issues.
Source: HAL
Language: French
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: TED
OpenAlex ID: W2402675028
