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% Selection : Author: Christian_Federmann
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@InProceedings{ChEiFeHa2007,
      AUTHOR = {Chen, Yu and Eisele, Andreas and Federmann, Christian and Hasler, Eva and Jellinghaus, Michael and Theison, Silke},
      TITLE = {Multi-Engine Machine Translation with an Open-Source Decoder for Statistical Machine Translation},
      YEAR = {2007},
      BOOKTITLE = {ACL Second  Workshop on Statistical Machine Translation, Prague, Association for Computational Linguistics},
      PAGES = {193-196},
      NOTE = {HU}
}

@InProceedings{ChJeEiZhHuThFeUs2009,
      AUTHOR = {Chen, Yu and Jellinghaus, Michael and Eisele, Andreas and Zhang, Yi and Hunsicker, Sabine and Theison, Silke and Federmann, Christian and Uszkoreit, Hans},
      TITLE = {Combining multi-engine translations with Moses},
      YEAR = {2009},
      BOOKTITLE = {EACL 2009 : proceedings of the ... Fourth Workshop on Statistical Machine Translation, 30 March – 31 March 2009, Megaron Athens International Conference Centre},
      ADDRESS = {Athen},
      ORGANIZATION = {EACL},
      NOTE = {HU}
}

@InProceedings{EiFeHo2009,
      AUTHOR = {Eisele, Andreas and Federmann, Christian and Hodson, James},
      TITLE = {Towards an effective toolkit for translators},
      YEAR = {2009},
      BOOKTITLE = {Translating and the computer 31 : proceedings of the 31. International Conference on Translating and the Computer, 19-20 November 2009, London},
      ADDRESS = {London},
      ORGANIZATION = {Aslib},
      NOTE = {HU}
}

@InProceedings{FeThEiUsChJeHu2009,
      AUTHOR = {Federmann, Christian and Theison, Silke and Eisele, Andreas and Uszkoreit, Hans and Chen, Yu and Jellinghaus, Michael and Hunsicker, Sabine},
      TITLE = {Translation combination using factored word substitution},
      YEAR = {2009},
      BOOKTITLE = {EACL 2009 : proceedings of the ... Fourth Workshop on Statistical Machine Translation, 30 March – 31 March 2009, Megaron Athens International Conference Centre, Athens, Greece},
      PAGES = {70-74},
      NOTE = {HU}
}

@InProceedings{ScUsFeMaZh2008,
      AUTHOR = {Schäfer, Ulrich and Uszkoreit, Hans and Federmann, Christian and Marek, Torsten and Zhang, Yajing},
      TITLE = {Extracting and querying relations in scientific papers},
      YEAR = {2008},
      BOOKTITLE = {KI 2008: advances in artificial intelligence : 31st Annual German Conference on AI, KI 2008, Kaiserslautern, Germany, September 23 - 26, 2008 ; proceedings, (Lecture notes in computer science ; 5243 : Lecture notes in artificial intelligence)},
      PAGES = {127-134},
      ADDRESS = {Berlin},
      PUBLISHER = {Springer},
      NOTE = {HU}
}

@InProceedings{ScUsFeMaZh2008a,
      AUTHOR = {Schäfer, Ulrich and Uszkoreit, Hans and Federmann, Christian and Marek, Torsten and Zhang, Yajing},
      TITLE = {Extracting and querying relations in scientific papers on language technology},
      YEAR = {2008},
      BOOKTITLE = {Proceedings of the 6th International Conference on Language Resources and Evaluation : LREC 2008, May 26 - June 1, 2008, Palais des congrès Mansour Eddahbi, Marrakech, Morocco},
      PAGES = {2040-2046},
      ADDRESS = {Paris},
      ORGANIZATION = {ELRA},
      NOTE = {HU}
}

@InProceedings{EiFeUsSaKaJeHuHeCh2008,
      AUTHOR = {Eisele, Andreas and Federmann, Christian and Uszkoreit, Hans and Saint-Amand, Herve and Kay, Martin and Jellinghaus, Michael and Hunsicker, Sabine and Herrmann, Teresa and Chen, Yu},
      TITLE = {Hybrid machine translation architectures within and beyond the EuroMatrix project},
      YEAR = {2008},
      BOOKTITLE = {12th EAMT Conference : European Asscociation for Machine Translation ; proceedings of the Twelfth EAMT Conference 22-23 September 2008},
      PAGES = {27-34},
      ADDRESS = {Hamburg},
      ORGANIZATION = {HITEC},
      NOTE = {HU}
}

@InProceedings{EiFeSaJeHeCh2008,
      AUTHOR = {Eisele, Andreas and Federmann, Christian and Saint-Amand, Herve and Jellinghaus, Michael and Herrmann, Teresa and Chen, Yu},
      TITLE = {Using moses to integrate multiple rule-based machine translation engines into a hybrid system},
      YEAR = {2008},
      BOOKTITLE = {Third Workshop on Statistical Machine Translation : ACL-08: HLT ; proceedings ; June 19, 2008, The Ohio State University Columbus, Ohio, USA},
      PAGES = {179-182},
      ADDRESS = {Stroudsburg, Pa},
      ORGANIZATION = {ACL},
      NOTE = {HU}
}

@InProceedings{FeChe2011,
      AUTHOR = {Federmann, Christian and Chen, Yu and Hunsicker, Sabine and Wang, Rui},
      TITLE = {DFKI system combination using syntactic information at ML4HMT-2011},
      YEAR = {2011},
      MONTH = {November},
      BOOKTITLE = {International Workshop on Using Linguistic Information for Hybrid Machine Translation LIHMT, Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation},
      PAGES = {104-109},
      ADDRESS = {Barcelona},
      PUBLISHER = {Universitat Politècnica de Catalunya},
      NOTE = {ISBN/ISSN: 978-84-615-2995-7 }
}

@InProceedings{BuFeHu2011,
      AUTHOR = {Burchardt, Aljoscha and Federmann, Christian and Uszkoreit, Hans},
      TITLE = {Hybrid machine translation for German in taraXÜ : can translation costs be decreased without degrading quality?},
      YEAR = {2011},
      BOOKTITLE = {Multilingual resources and multilingual applications : proceedings of the Conference of the German Society for Computational Linguistics and Language Technology (GSCL) 2011. Sonderforschungsbereich Mehrsprachigkeit, (Arbeiten zur Mehrsprachigkeit / Folge},
      PAGES = {93-98},
      PUBLISHER = {Univ. Hamburg}
}

@InProceedings{FedGro2012,
      AUTHOR = {Federmann, Christian and Gromann, Dagmar and Declerck, Thierry and Hunsicker, Sabine and Krieger, Hans-Ulrich and Budin, Gerhard},
      TITLE = {Multilingual terminology acquisition for ontology-based information extraction},
      YEAR = {2012},
      BOOKTITLE = {New frontiers in the constructive symbiosis of terminology and knowledge engineering : proceedings of the 10th Terminology and Knowledge Engineering Conference (TKE 2012)},
      PAGES = {166-175},
      ADDRESS = {Madrid},
      NOTE = {HU}
}

@InProceedings{BojBuc2013,
      AUTHOR = {Bojar, Ondřej and Buck, Christian and Callison-Burch, Chris and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Monz, Christof and Post, Matt and Soricut, Radu and Specia, Lucia},
      TITLE = {Findings of the 2013 Workshop on Statistical Machine Translation},
      YEAR = {2013},
      MONTH = {8-9 August},
      BOOKTITLE = {8th Workshop on Statistical Machine Translation (WMT 2013)},
      PAGES = {1-44},
      ADDRESS = {Sofia, Bulgaria},
      NOTE = {MP}
}

@InProceedings{Fed2013a,
      AUTHOR = {Federmann, Christian},
      TITLE = {Multi-engine machine translation as a lifelong machine learning problem},
      YEAR = {2013},
      BOOKTITLE = {Lifelong machine learning : papers from the AAAI spring symposium ; held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University},
      PAGES = {4-8},
      ADDRESS = {Palo Alto, California},
      NOTE = {MP}
}

@PhdThesis{Fed2013b,
      AUTHOR = {Federmann, Christian},
      TITLE = {Hybrid machine translation using binary classification models trained on joint, binarised feature vectors},
      YEAR = {2013},
      SCHOOL = {Universität des Saarlandes},
      ABSTRACT = {We describe the design and implementation of a system combination method for machine translation output. It is based on sentence selection using binary classification models estimated on joint, binarised feature vectors. By contrast to existing system combination methods which work by dividing candidate translations into n-grams, i.e., sequences of n words or tokens, our framework performs sentence selection which does not alter the selected, best translation. First, we investigate the potential performance gain attainable by optimal sentence selection. To do so, we conduct the largest meta-study on data released by the yearly Workshop on Statistical Machine Translation (WMT). Second, we introduce so-called joint, binarised feature vectors which explicitly model feature value comparison for two systems A, B. We compare different settings for training binary classifiers using single, joint, as well as joint, binarised feature vectors. After having shown the potential of both selection and binarisation as methodological paradigms, we combine these two into a combination framework which applies pairwise comparison of all candidate systems to determine the best translation for each individual sentence. Our system is able to outperform other state-of-the-art system combination approaches; this is confirmed by our experiments. We conclude by summarising the main findings and contributions of our thesis and by giving an outlook to future research directions.},
      NOTE = {HU}
}