TRAnslation and Transcription Assisted by Humans on the Internet

From HLT@INESC-ID

The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

The goal of this exploratory project, in cooperation with Carnegie Mellon University, is to design a web-based tool for man-in-the-loop joint robust Automatic Speech Recognition (ASR) and Machine Translation (MT). For this purpose research will be centered on representing the uncertainty of ASR and MT outputs expressed as a lattice, incorporating user feedback to the lattice and sharing information among MT and ASR lattices for improved performance.

http://www.cmuportugal.org/tiercontent.aspx?id=5541