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Exploiting Comparable Corpora with TER and TERp.

S. Abdul-Rauf, and H. Schwenk. BUCC@ACL/IJCNLP, page 46-54. Association for Computational Linguistics, (2011)

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

Image processing code for characterization of multiphase flow in porous mediaS. Vahid Dastjerdi, and H. Steeb. Software, (2024)Related to: Vahid Dastjerdi, S.; Karadimitriou, N.; Hassanizadeh, S. M. & Steeb, H.: Experimental evaluation of fluid connectivity in two-phase flow in porous media during drainage. Water Resources Research 58 (2022), e2022WR033451. doi: 10.1029/2022WR033451.

Image processing code for characterization of multiphase flow in porous mediaS. Vahid Dastjerdi, and H. Steeb. Software, (2024)Related to: Vahid Dastjerdi, S.; Karadimitriou, N.; Hassanizadeh, S. M. & Steeb, H.: Experimental evaluation of fluid connectivity in two-phase flow in porous media during drainage. Water Resources Research 58 (2022), e2022WR033451. doi: 10.1029/2022WR033451.Data for: Formation of common preferential two-phase displacement pathways in porous mediaS. Vahid Dastjerdi, N. Karadimitriou, and H. Steeb. Dataset, (2024)Related to: Vahid Dastjerdi, S.; Karadimitriou, N.; Hassanizadeh, S. M. & Steeb, H.: Formation of common preferential two-phase displacement pathways in porous media. Water Resources Research (Submitted Jan. 2024).Data for: Experimental Evaluation of Fluid Connectivity in Two-phase Flow in Porous MediaS. Vahid Dastjerdi, N. Karadimitriou, and H. Steeb. Dataset, (2022)Related to: Vahid Dastjerdi, S.; Karadimitriou, N.; Hassanizadeh, S. M. & Steeb, H.: Experimental evaluation of fluid connectivity in two-phase flow in porous media. Advances in Water Resources 172 (2023), 104378. doi: 10.1016/j.advwatres.2023.104378.

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)Using boosting to improve a hybrid HMM/neural network speech recognizer.H. Schwenk. ICASSP, page 1009-1012. IEEE Computer Society, (1999)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)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)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)Very Deep Convolutional Networks for Natural Language Processing.A. Conneau, H. Schwenk, L. Barrault, and Y. LeCun. CoRR, (2016)The Diabolo Classifier.H. Schwenk. Neural Computation, 10 (8): 2175-2200 (1998)Exploiting Comparable Corpora with TER and TERp.S. Abdul-Rauf, and H. Schwenk. BUCC@ACL/IJCNLP, page 46-54. Association for Computational Linguistics, (2011)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)Translation Model Adaptation by Resampling.K. Shah, L. Barrault, and H. Schwenk. WMT@ACL, page 392-399. Association for Computational Linguistics, (2010)