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Bibliography Burchardt, Aljoscha, et al. 2014. Multidimensional Quality Metrics (MQM) Definition. http://www.qt21.eu/mqm-definition/definition-2014-08-14.html (accessed May 7, 2019). Burchardt, Aljoscha, and Jörg Porsiel. 2017. Vorwort: Was kann die maschinelle Übersetzung und was nicht? In Maschinelle Übersetzung. Grundlagen für den professionellen Einsatz , ed. Jörg Porsiel, 11–8. Berlin: BDÜ-Fachverlag. Castilho, Sheila, et al. 2017. Is Neural Machine Translation the New State of the Art? The Prague Bulletin of Mathematical Linguistics 108: 109

References Fulford, H. 2002. ‘Freelance translators and machine translation: an investigation of perceptions, uptake, experience and training needs’. In Proc. 6th EAMT Workshop (117-122). Fulford, H., and Granell-Zafra, J. 2004. ‘The freelance translator’s workstation: An empirical investigation’. In Proceedings of 9th European Association for Machine Translation Workshop (53-61). Retrieved from http://www.mtarchive.info/EAMT-2004-Fulford.pdf Graham, Y., Baldwin, T., Moffat, A., and Zobel, J. 2014. ‘Is Machine Translation Getting Better over Time?’ In Proceedings

References 1. Burchardt, A., K. Harris, G. Rehm, H. Uszkoreit. Towards a Systematic and Human-Informed Paradigm for High-Quality Machine Translation. – In: Proc. of LREC 2016 Workshop Translation Evaluation: From Fragmented Tools and Data Sets to an Integrated Ecosystem (LREC’16), Located at International Co, 2016. 2. Avramidis, E., A. Burchardt, V. Macketanz, A. Srivastava. DFKI’s System for WMT16 IT-Domain Task, Including Analysis of Systematic Errors. – In: Proc. of 1st Conference on Machine Translation, 2016, pp. 415-422. 3. Guillou, L., C. Hardmeier. PROTEST

References Bojar, Ondřej, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia. Findings of the 2013 workshop on statistical machine translation. In Proc. of WMT , 2013. Callison-Burch, Chris, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Spe-cia. Findings of the 2012 workshop on statistical machine translation. In Proc. of WMT , 2012. DeNero, John and Dan Klein. The complexity of phrase alignment problems. In Proc. of ACL , 2008. Hajič, Jan, Jarmila

References Banerjee, Satanjeev and Alon Lavie. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization , pages 65-72, 2005. Callison-Burch, Chris, Philipp Koehn, Christof Monz, and Josh Schroeder. Findings of the 2009 Workshop on Statistical Machine Translation. In Proceedings of the Fourth Workshop on Statistical Machine Translation , pages 1-28, Athens, Greece, March 2009. Association for Computational

References Brown, Peter F., Stephen A. Della Pietra, Vincent J. Della Pietra, and Robert L. Mercer. The mathematics of statistical machine translation: Parameter estimation. In Computational Linguistics , volume 19(2), pages 263-331, 1993. Dean, Jeffrey and Sanjay Ghemawat. Mapreduce: simplified data processing on large clusters. Commun. ACM , 51(1):107-113, 2008. Dyer, Chris, Aaron Cordova, Alex Mont, and Jimmy Lin. Fast, easy, and cheap: Construction of statistical machine translation models with MapReduce. In Proceedings of the Third Workshop on Statistical

Bibliography Bird, Steven, Ewan Klein, and Edward Loper. Natural Language Processing with Python . O’Reilly Media, 2009. Federmann, Christian and Andreas Eisele. MT Server Land: An Open-Source MT Architecure. The Prague Bulletin of Mathematical Linguistics , 94:57–66, 2010. Forcada, Mikel L, Mireia Ginestí-Rosell, Jacob Nordfalk, Jim O’Regan, Sergio Ortiz-Rojas, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Gema Ramírez-Sánchez, and Francis M Tyers. Apertium: a free/open-source platform for rule-based machine translation. Machine translation , 25

References Bojar, Ondřej and Kamil Kos. 2010 Failures in English-Czech Phrase-Based MT. In Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR , pages 60-66, Uppsala, Sweden, July 2010. Association for Computational Linguistics. URL http://www.aclweb.org/anthology/W10-1705. http://www.aclweb.org/anthology/W10-1705 Callison-Burch, Chris, Philipp Koehn, Christof Monz, Kay Peterson, Mark Przybocki, and Omar F. Zaidan. Findings of the 2010 joint workshop on statistical machine translation and metrics for machine translation

References Banerjee, S. and A. Lavie. METEOR: an automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization , 2005. Chiang, David. A hierarchical phrase-based model for statistical machine translation. In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , 2005. Clark, Jonathan H. and Alon Lavie. Loonybin: Keeping language technologists sane through automated management of

References Amigó, Enrique, Julio Gonzalo, Anselmo Penas, and Felisa Verdejo. QARLA: a Framework for the Evaluation of Automatic Summarization. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL) , pages 280-289, 2005. Callison-Burch, Chris, Philipp Koehn, Christof Monz, and Josh Schroeder. Findings of the 2009 Workshop on Statistical Machine Translation. In Proceedings of the Fourth Workshop on Statistical Machine Translation , pages 1-28, 2009. Callison-Burch, Chris, Philipp Koehn, Christof Monz, Kay Peterson, Mark