Wolfgang Macherey

Wolfgang Macherey joined Google in 2006 as a research scientist, where he works in the machine translation group with Franz Josef Och. He has been working on natural language processing since 1996.

Wolfgang worked as a Research Assistant at RWTH Aachen University from 1999 to 2005. His main research interests are in statistical machine translation and automatic speech recognition with the focus on discriminative training methods, natural language processing, statistical pattern recognition, and machine learning.

He received a PhD in Computer Science from RWTH Aachen University, Germany, in 2010 and his Diploma Degree in Computer Science from RWTH Aachen University in 1999 with a major in statistical pattern recognition and a minor in physical chemistry and thermodynamics.

Google Publications

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean

CoRR, vol. abs/1609.08144 (2016)
Expected Sequence Similarity Maximization

Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, Michael Riley

NAACL HLT (2010)
Efﬁcient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices

Shankar Kumar, Wolfgang Macherey, Chris Dyer, Franz Och

Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, ACL and AFNLP (2009), pp. 163-171
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation

Roy Tromble, Shankar Kumar, Franz Och, Wolfgang Macherey

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, pp. 620-629
Lattice-based Minimum Error Rate Training for Statistical Machine Translation

Wolfgang Macherey, Franz Och, Ignacio Thayer, Jakob Uszkoreit

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, pp. 725-734
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems

Wolfgang Macherey, Franz J. Och

Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), Association for Computational Linguistics, 209 N. Eighth Street, East Stroudsburg, PA, USA, pp. 986-995
Improving Word Alignment with Bridge Languages

Shankar Kumar, Franz Och, Wolfgang Macherey

Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Association for Computational Linguistics, 209 N. Eighth Street, East Stroudsburg, PA, USA (2007)

Previous Publications

Investigations on Error Minimizing Training Criteria for Discriminative Training in Automatic Speech Recognition

Wolfgang Macherey, Lars Haferkamp, Ralf Schlueter, Hermann Ney

Europ. Conf. on Speech Communication and Technology (2005), pp. 2133-2136
Minimum Exact Word Error Training

Georg Heigold, Wolfgang Macherey, Ralf Schlueter, Hermann Ney

Automatic Speech Recognition and Understanding (2005), pp. 186-190
Adaptation in Statistical Pattern Recognition Using Tangent Vectors

Daniel Keysers, Wolfgang Macherey, Hermann Ney, Joerg Dahmen

IEEE Trans. Pattern Analysis Machine Intelligence, vol. 26 (2004), pp. 269-274
Discriminative Training with Tied Covariance Matrices

Wolfgang Macherey, Ralf Schlueter, Hermann Ney

8th Int. Conf. on Spoken Language Processing (ICSLP) (2004), pp. 681-684
A Comparative Study on Maximum Entropy and Discriminative Training for Acoustic Modeling in Automatic Speech Recognition

Wolfgang Macherey, Hermann Ney

Proc. European Conference on Speech Communication and Technology (2003), pp. 493-496
Probabilistic Aspects in Spoken Document Retrieval

Wolfgang Macherey, Joerg Viechtbauer, Hermann Ney

EURASIP Journal on Applied Signal Processing (2003), pp. 115-127
Probabilistic Retrieval Based On Document Representations

Wolfgang Macherey, Joerg Viechtbauer, Hermann Ney

Int. Conf. on Spoken Language Processing (2002), pp. 1481-1484
Towards Automatic Corpus Preparation for a German Broadcast News Transcription System

Wolfgang Macherey, Hermann Ney

Int. Conf. on Spoken Language Processing (2002), pp. 733-736
Comparison of Discriminative Training Criteria and Optimization Methods for Speech Recognition

Ralf Schlueter, Wolfgang Macherey, Boris Mueller, Hermann Ney

Speech Communication, vol. 34 (2001), pp. 287-310
Improving Automatic Speech Recognition Using Tangent Distance

Wolfgang Macherey, Daniel Keysers, Joerg Dahmen, Hermann Ney

European Conference on Speech Communication and Technology (2001)
Learning of Variability for Invariant Statistical Pattern Recognition

Daniel Keysers, Wolfgang Macherey, Joerg Dahmen, Hermann Ney

European Conference on Machine Learning (ECML) (2001), pp. 263-275
A Combined Maximum Mutual Information and Maximum Likelihood Approach for Mixture Density Splitting

Ralf Schlueter, Wolfgang Macherey, Boris Mueller, Hermann Ney

Europ. Conf. on Speech Communication and Technology (1999), pp. 1715-1718
Comparison of Discriminative Training Criteria

Ralf Schlueter, Wolfgang Macherey

Int. Conf. on Acoustics, Speech, and Signal Processing (1998), pp. 493-496
Implementierung und Vergleich diskriminativer Verfahren fuer Spracherkennung bei kleinem Vokabular

Wolfgang Macherey

RWTH Aachen University (1998), pp. 123
Comparison of Optimization Methods for Discriminative Training Criteria

Ralf Schlueter, Wolfgang Macherey, Stephan Kanthak, Hermann Ney, Lutz Welling

Europ. Conf. on Speech Communication and Technology (1997), pp. 15-18

Wolfgang Macherey

Co-Authors

Google Publications

Previous Publications