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DFKI Sprachtechnologie© DFKI, Berlin

Speech and Language Technology

Publikationen

Seite 1 von 5.

  1. Tom Kocmi; Eleftherios Avramidis; Rachel Bawden; Ondrej Bojar; Anton Dorkovich; Christian Federmann; Mark Fishel; Markus Freitag; Thamme Gowda; Roman Grundkiewicz; Barry Haddow; Philipp Koehn; Benjamin Marie; Christof Monz; Makoto Morishita; Kenton Murray; Makoto Nagata; Toshiaki Nakazawa; Martin Popel; Maja Popovic; Mariya Shmatova

    Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet

    In: Philipp Koehn; Barry Haddow; Tom Kocmi; Christof Monz (Hrsg.). Proceedings of the Eighth Conference on Machine Translation. Conference on Machine …

  2. Farhad Akhbardeh; Arkady Arkhangorodsky; Magdalena Biesialska; Ondřej Bojar; Rajen Chatterjee; Vishrav Chaudhary; Marta R. Costa-jussa; Cristina España-Bonet; Angela Fan; Christian Federmann; Markus Freitag; Yvette Graham; Roman Grundkiewicz; Barry Haddow; Leonie Barbara Sabine Harter; Kenneth Heafield; Christopher Homan; Matthias Huck; Kwabena Amponsah-Kaakyire; Jungo Kasai; Daniel Khashabi; Kevin Knight; Tom Kocmi; Philipp Koehn; Nicholas Lourie; Christof Monz; Makoto Morishita; Masaaki Nagata; Ajay Nagesh; Toshiaki Nakazawa; Matteo Negri; Santanu Pal; Allahsera Auguste Tapo; Marco Turchi; Valentin Vydrin; Marcos Zampieri

    Findings of the 2021 Conference on Machine Translation (WMT21)

    In: Proceedings of the Sixth Conference on Machine Translation (WMT). Conference on Machine Translation (WMT-2021), November 10-11, Dominican …

  3. Christian Federmann

    A Feedback-enabled Machine Learning Approach for Multi-Engine Machine Translation

    In: Proceedings of the AAAI 2013 Spring Symposium on Lifelong Machine Learning. AAAI Spring Symposium (AAAI SSS-13), Stanford, CA, USA, AAAI Press, …

  4. Mihael Arcan; Christian Federmann; Paul Buitelaar

    Experiments with Term Translation

    In: Proceedings of the 24th International Conference on Computational Linguistics. International Conference on Computational Linguistics (COLING-12), …

  5. Christian Federmann

    System Combination Using Joint, Binarised Feature Vectors

    In: Proceedings of the Second Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation …

  6. Christian Federmann; Tsuyoshi Okita; Maite Melero; Marta R. Costa-Jussà; Toni Badia; Josef van Genabith

    Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation

    In: Proceedings of the Second Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation …

  7. Josef van Genabith; Toni Badia; Christian Federmann; Maite Melero; Marta R. Costa-jussà; Tsuyoshi Okita

    Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT

    The COLING 2012 Organizing Committee, Mumbai, India, 12/2012.

  8. Christian Federmann

    Hybrid Machine Translation Using Joint, Binarised Feature Vectors

    In: Proceedings of the 20th Conference of the Association for Machine Translation in the Americas. Conference of the Association for Machine …

  9. Christian Federmann

    Appraise: An Open-Source Toolkit for Manual Evaluation of Machine Translation Output

    In: The Prague Bulletin of Mathematical Linguistics (PBML), Vol. 98, Pages 25-35, Charles University in Prague, Prague, Czech Republic, 9/2012.

  10. Christian Federmann

    A Machine-Learning Framework for Hybrid Machine Translation

    In: Proceedings of the 35th German Conference on Artificial Intelligence. German Conference on Artificial Intelligence (KI-12), September 24-27, …

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Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Speech and Language Technology Lab
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