Alex Waibel
Karlsruhe Institute of Technology
719 Papers
9.9K Citations
Alex Waibel is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Machine translation & Computer science. The author has an hindex of 79, co-authored 690 publications. Previous affiliations of Alex Waibel include Carnegie Mellon University & University of Pittsburgh.
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Papers
A robot learns to know people: first contacts of a robot
Hartwig Holzapfel,Thomas Schaaf,Hazim Kemal Ekenel,Christoph Schaa,Alex Waibel +4 more
- 14 Jun 2006
TL;DR: This paper describes the integration of different perceptual and dialog components and their individual functionality to build a robot that can contact persons, learns their names, and learns to recognize them in future encounters.
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Translation Model Pruning via Usage Statistics for Statistical Machine Translation
Matthias Eck,Stephan Vogel,Alex Waibel +2 more
- 22 Apr 2007
TL;DR: A new pruning approach to remove phrase pairs from translation models of statistical machine translation systems is described and shows significant improvements.
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Augmenting a statistical translation system with a translation memory
Sanjika Hewavitharana,Stephan Vogel,Alex Waibel +2 more
- 01 Jan 2005
TL;DR: A translation memory (TM) based system to augment a statistical translation (SMT) system used for translating sentences which have close matches in the training corpus.
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Combined Spoken Language Translation
Markus Freitag,Joern Wuebker,Stephan Peitz,Hermann Ney,Matthias Huck,Alexandra Birch,Nadir Durrani,Philipp Koehn,Mohammed Mediani,Isabel Slawik,Jan Niehues,Eunach Cho,Alex Waibel,Nicola Bertoldi,Mauro Cettolo,Marcello Federico +15 more
- 01 Dec 2014
TL;DR: This paper presents the techniques which were applied by the different individual translation systems of RWTH Aachen University, the University of Edinburgh, Karlsruhe Institute of Technology, and Fondazione Bruno Kessler and shows the combination approach developed atRWTH AAChen University which combined the individual systems.
Prosodic knowledge sources for word hypothesization in a continuous speech recognition system
Alex Waibel
- 01 Apr 1987
TL;DR: Results indicate that prosodic information indeed adds complementary information that substantially improves word hypothesization in speaker-independent continuous speech recognition systems.
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