Franz Josef Och

Franz Josef Och joined Google in 2004 as a research scientist, where he leads the machine translation group. He has been working on statistical machine translation since 1997.

Franz worked as a Research Scientist at the Information Sciences Institute at the University of Southern California from 2002 to 2004. His main research interests are statistical machine translation, natural language processing and machine learning. He has co-authored more than fifty scientific papers and has written several open-source software packages related to statistical natural language processing.

He received a PhD in Computer Science at the RWTH Aachen, Germany in 2002 and his Diploma Degree in Computer Science at the University of Erlangen-Nuremberg, Germany in 1998.

Google Publications

Improved Domain Adaptation for Statistical Machine Translation

Wei Wang, Klaus Macherey, Wolfgang Macherey, Franz Och, Peng Xu

AMTA-2012, The Association for Machine Translation in the Americas
Language-independent Compound Splitting with Morphological Operations

Klaus Macherey, Andrew M. Dai, David Talbot, Ashok C. Popat, Franz Och

ACL HLT 2011, pp. 10
Training a Parser for Machine Translation Reordering

Jason Katz-Brown, Slav Petrov, Ryan McDonald, Franz Och, David Talbot, Hiroshi Ichikawa, Masakazu Seno

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP '11)
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation

Ashish Venugopal, Jakob Uszkoreit, David Talbot, Franz Och, Juri Ganitkevitch

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics
Model Combination for Machine Translation

John DeNero, Shankar kumar, Ciprian Chelba, Franz Och

Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL) (2010), pp. 975-983
“Poetic” Statistical Machine Translation: Rhyme and Meter

Dmitriy Genzel, Jakob Uszkoreit, Franz Och

EMNLP (2010), pp. 158-166
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
Using a dependency parser to improve SMT for subject-object-verb languages

Peng Xu, Jaeho Kang, Michael Ringgaard, Franz Och

NAACL '09: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Morristown, NJ, USA, pp. 245-253
A systematic comparison of phrase-based, hierarchical and syntax-augmented statistical MT

Andreas Zollmann, Ashish Venugopal, Franz Josef Och, Jay Ponte

Proceedings of the 22nd International Conference on Computational Linguistics (COLING) (2008)
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)
Large Language Models in Machine Translation

Thorsten Brants, Ashok C. Popat, Peng Xu, Franz J. Och, Jeffrey Dean

Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 858-867

Previous Publications

Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics

Chin-Yew Lin, Franz Josef Och

ACL (2004), pp. 605-612
Discriminative Reranking for Machine Translation

Libin Shen, Anoop Sarkar, Franz Josef Och

HLT-NAACL (2004), pp. 177-184
The Alignment Template Approach to Statistical Machine Translation

Franz Josef Och, Hermann Ney

Computational Linguistics, vol. 30 (2004), pp. 417-449
A Systematic Comparison of Various Statistical Alignment Models

Franz Josef Och, Hermann Ney

Computational Linguistics, vol. 29 (2003), pp. 19-51
Comparison of Alignment Templates and Maximum Entropy Models for Natural Language Understanding

Oliver Bender, Klaus Macherey, Franz Josef Och, Hermann Ney

EACL (2003), pp. 11-18
Cross-lingual C*ST*RD: English access to Hindi information

Anton Leuski, Chin-Yew Lin, Liang Zhou, Ulrich Germann, Franz Josef Och, Eduard H. Hovy

ACM Trans. Asian Lang. Inf. Process., vol. 2 (2003), pp. 245-269
Efficient Search for Interactive Statistical Machine Translation

Richard Zens, Franz Josef Och, Hermann Ney

EACL (2003), pp. 387-394
Minimum Error Rate Training in Statistical Machine Translation

Franz Josef Och

ACL (2003), pp. 160-167
Statistical Phrase-Based Translation

Philipp Koehn, Franz Josef Och, Daniel Marcu

HLT-NAACL (2003)
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation

Franz Josef Och, Hermann Ney

ACL (2002), pp. 295-302
Efficient Integration of Maximum Entropy Lexicon Models within the Training of Statistical Alignment Models

Ismael Garc, Franz Josef Och, Hermann Ney, Francisco Casacuberta

AMTA (2002), pp. 54-63
Improving Alignment Quality in Statistical Machine Translation Using Context-dependent Maximum Entropy Models

Ismael Garc, Franz Josef Och, Hermann Ney, Francisco Casacuberta

COLING (2002)
Maximum Entropy and Gaussian Models for Image Object Recognition

Daniel Keysers, Franz Josef Och, Hermann Ney

DAGM-Symposium (2002), pp. 498-506
Phrase-Based Statistical Machine Translation

Richard Zens, Franz Josef Och, Hermann Ney

KI (2002), pp. 18-32
Natural Language Understanding Using Statistical Machine Translation

Klaus Macherey, Franz Och, Hermann Ney

Proceedings of EUROSPEECH-2001, pp. 2205-2208
Refined Lexikon Models for Statistical Machine Translation Using a Maximum Entropy Approach

Ismael Garc, Franz Josef Och, Hermann Ney, Francisco Casacuberta

ACL (2001), pp. 204-211
A Comparison of Alignment Models for Statistical Machine Translation

Franz Josef Och, Hermann Ney

COLING (2000), pp. 1086-1090
Improved Statistical Alignment Models

Franz Josef Och, Hermann Ney

ACL (2000)
The Statistical Translation Module in the Verbmobil System

Stephan Vogel, Franz Josef Och, Hermann Ney

KONVENS (2000), pp. 291-293
An Efficient Method for Determining Bilingual Word Classes

Franz Josef Och

EACL (1999), pp. 71-76
Improving Statistical Natural Language Translation with Categories and Rules

Franz Josef Och, Hans Weber

COLING-ACL (1998), pp. 985-989

Franz Josef Och

Co-Authors

Google Publications

Previous Publications