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Duygu Ataman

PhD student
  • Phone: +39 +39 0461 314992
  • FBK Povo
Short bio

Duygu Ataman has received her Bachelor's degree in Electrical and Electronics Engineering at Middle East Technical University, Turkey in 2013 and her Master's degree in Embedded Systems and Multimedia at KU Leuven, Belgium in 2015. During her studies she was a research intern at CVUT in Prague, Czech Republic in 2011 and UCLouvain, Belgium in 2012. She is a first year PhD student at University of Trento, Italy in Information Technology and Computer Science and her research is collaborated by Fondazione Bruno Kessler. Her research is based on using multilingual distributional semantics and novel computational architectures to model generalization from monolingual corpora in neural machine translation.


August 2016

Attended the 28th ESSLLI, European Summer School in Logic, Language and Information which is located in Bolzano, Italy with a grant from EUREGIO.
Attended ACL in Berlin, Germany.

July 2016

Attended the 6th Lisbon Machine Learning Summer School in Lisbon, Portugal.

May 2016

FBK HLT-MT achieved the 1 st ranking in the English-Spanish Binary Classification Task of the NLP4TM 2016 Translation Memory Cleaning Task. Our system notes are available here.

February 2016

Participated in the Cross-lingual STS Task of SemEval 2016. System description paper of FBK HLT-MT is published in the NAACL Workshop Proceedings.
Research interests
Artificial Intelligence Deep Learning Natural Language Processing Machine Translation