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

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    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

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    Language-independent Compound Splitting with Morphological Operations

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

    ACL HLT 2011, pp. 10

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    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)

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    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

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    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

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    “Poetic” Statistical Machine Translation: Rhyme and Meter

    Dmitriy Genzel, Jakob Uszkoreit, Franz Och

    EMNLP (2010), pp. 158-166

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    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

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    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

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    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)

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    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

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    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

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    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

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    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)

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    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

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    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

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    Discriminative Reranking for Machine Translation

    Libin Shen, Anoop Sarkar, Franz Josef Och

    HLT-NAACL (2004), pp. 177-184

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    The Alignment Template Approach to Statistical Machine Translation

    Franz Josef Och, Hermann Ney

    Computational Linguistics, vol. 30 (2004), pp. 417-449

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    A Systematic Comparison of Various Statistical Alignment Models

    Franz Josef Och, Hermann Ney

    Computational Linguistics, vol. 29 (2003), pp. 19-51

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    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

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    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

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    Efficient Search for Interactive Statistical Machine Translation

    Richard Zens, Franz Josef Och, Hermann Ney

    EACL (2003), pp. 387-394

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    Minimum Error Rate Training in Statistical Machine Translation

    Franz Josef Och

    ACL (2003), pp. 160-167

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    Statistical Phrase-Based Translation

    Philipp Koehn, Franz Josef Och, Daniel Marcu

    HLT-NAACL (2003)

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    Discriminative Training and Maximum Entropy Models for Statistical Machine Translation

    Franz Josef Och, Hermann Ney

    ACL (2002), pp. 295-302

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    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

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    Improving Alignment Quality in Statistical Machine Translation Using Context-dependent Maximum Entropy Models

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

    COLING (2002)

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    Maximum Entropy and Gaussian Models for Image Object Recognition

    Daniel Keysers, Franz Josef Och, Hermann Ney

    DAGM-Symposium (2002), pp. 498-506

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    Phrase-Based Statistical Machine Translation

    Richard Zens, Franz Josef Och, Hermann Ney

    KI (2002), pp. 18-32

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    Natural Language Understanding Using Statistical Machine Translation

    Klaus Macherey, Franz Och, Hermann Ney

    Proceedings of EUROSPEECH-2001, pp. 2205-2208

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    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

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    A Comparison of Alignment Models for Statistical Machine Translation

    Franz Josef Och, Hermann Ney

    COLING (2000), pp. 1086-1090

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    Improved Statistical Alignment Models

    Franz Josef Och, Hermann Ney

    ACL (2000)

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    The Statistical Translation Module in the Verbmobil System

    Stephan Vogel, Franz Josef Och, Hermann Ney

    KONVENS (2000), pp. 291-293

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    An Efficient Method for Determining Bilingual Word Classes

    Franz Josef Och

    EACL (1999), pp. 71-76

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    Improving Statistical Natural Language Translation with Categories and Rules

    Franz Josef Och, Hans Weber

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