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Katharina Kann has won the SIGMORPHON 2016 shared task

Other participants from MIT, NZT and the University of Colorado where also competing for the sahred task from one of the leading conferences on computational morphology and phonology

Katharina Kann has won the SIGMORPHON 2016 shared task http://ryancotterell.github.io/sigmorphon2016. Other participants in the shared task were MIT, NYT and University of Colorado. The task consists of generating morphologically inflected forms in 10 languages. An English example would be to generate the output "broken" for the input "to-break-PAST-PARTICIPLE". Her system applies neural machine translation methods to this task and placed first in all 9 subevaluations for all of the 10 languages that were considered. Katharina is a PhD student in the Data Science Lab at LMU Munich. She is part of the project "Solutions for High-Throughput Data", a joint project of the Database Systems Group and the Center for Information and Language Processing that is financed by Siemens.


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