Robust knowledge discovery from parallel speech and text sources

Authors:
F. Jelinek;W. Byrne;S. Khudanpur;B. Hladká;H. Ney;F. J. Och;J. Curǐn;J. Psutka
Affiliations:
Johns Hopkins University, Baltimore, MD;Johns Hopkins University, Baltimore, MD;Johns Hopkins University, Baltimore, MD;Johns Hopkins University, Baltimore, MD;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;Charles University, Prague, Czech Rep.;University of West Bohemia, Pilsen, Czech Rep.
Venue:
HLT '01 Proceedings of the first international conference on Human language technology research
Year:
2001

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Abstract

As a by-product of the recent information explosion, the same basic facts are often available from multiple sources such as the Internet, television, radio and newspapers. We present here a project currently in its early stages that aims to take advantage of the redundancies in parallel sources to achieve robustness in automatic knowledge extraction.