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LIUM's SMT Machine Translation Systems for WMT 2012.

C. Servan, P. Lambert, A. Rousseau, H. Schwenk, and L. Barrault. WMT@NAACL-HLT, page 369-373. The Association for Computer Linguistics, (2012)978-1-937284-20-6.

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Univ. -Prof. Dr. -Ing. Holger Steeb University of Stuttgart

Dr. Holger Jakob University of Stuttgart

Holger Sauter University of Stuttgart

Dr. -Ing. Holger Röseler University of Stuttgart

Dr. Holger Dietrich University of Stuttgart

Other publications of authors with the same name

Training Methods for Adaptive Boosting of Neural Networks.H. Schwenk, and Y. Bengio. NIPS, page 647-653. The MIT Press, (1997)The LIMSI 2006 TC-STAR EPPS Transcription Systems.L. Lamel, J. Gauvain, G. Adda, C. Barras, E. Bilinski, O. Galibert, A. Pujol, H. Schwenk, and X. Zhu. ICASSP (4), page 997-1000. IEEE, (2007)Using boosting to improve a hybrid HMM/neural network speech recognizer.H. Schwenk. ICASSP, page 1009-1012. IEEE Computer Society, (1999)Where are we in transcribing French broadcast news?J. Gauvain, G. Adda, M. Adda-Decker, A. Allauzen, V. Gendner, L. Lamel, and H. Schwenk. INTERSPEECH, page 1665-1668. ISCA, (2005)Data selection and smoothing in an open-source system for the 2008 NIST machine translation evaluation.H. Schwenk, and Y. Estève. INTERSPEECH, page 2727-2730. ISCA, (2008)The Diabolo Classifier.H. Schwenk. Neural Computation, 10 (8): 2175-2200 (1998)Very Deep Convolutional Networks for Natural Language Processing.A. Conneau, H. Schwenk, L. Barrault, and Y. LeCun. CoRR, (2016)Exploiting Comparable Corpora with TER and TERp.S. Abdul-Rauf, and H. Schwenk. BUCC@ACL/IJCNLP, page 46-54. Association for Computational Linguistics, (2011)Translation Model Adaptation by Resampling.K. Shah, L. Barrault, and H. Schwenk. WMT@ACL, page 392-399. Association for Computational Linguistics, (2010)Investigations on Translation Model Adaptation Using Monolingual Data.P. Lambert, H. Schwenk, C. Servan, and S. Abdul-Rauf. WMT@EMNLP, page 284-293. Association for Computational Linguistics, (2011)