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Duygu Ataman

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

I am a third year Ph.D. student in Information Technology and Computer Science at the University of Trento and I am conducting my doctoral research at the MT group at Fondazione Bruno Kessler.  I received my Bachelor's degree in Electrical and Electronics Engineering from Middle East Technical University, Turkey and my Master's degree in Embedded Systems and Multimedia from KU Leuven, Belgium. During my studies, I was a research intern at CVUT in Prague, the Czech Republic in 2011 and UCLouvain, Belgium in 2012. I also worked in many spin-off projects as a researcher and design engineer. My previous research experience includes signal processing, computer vision and pattern recognition applications, human-computer interaction systems, with a specialization in my master's thesis on cognitive aspects of speech recognition and acoustic modeling. My doctoral research focuses on developing unsupervised and linguistically-inspired solutions for neural machine translation of morphologically-rich languages.

Research interests
Artificial Intelligence Deep Learning Natural Language Processing Machine Translation

Ataman, D., Federico, M. (2018) Compositional Representation of Morphologically-Rich Input for Neural Machine Translation. Accepted at ACL.

Ataman, D., Di Gangi, M. & Federico, M. (2018) Compositional Source Word Representations for Neural Machine Translation. Proceedings of the 21st Annual Conference of the European Association for Machine Translation. Alacant, Spain, p. 31-40.

Ataman, D., Federico, M. (2018) An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation. Proceedings of the 13th Conference of The Association for Machine Translation in the Americas. Boston, US. p. 97-110.

Ataman, D., Negri, M., Turchi, M., Federico, M. (2017) Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English. The Prague Bulletin of Mathematical Linguistics 108, European Association for Machine Translation, Prague, Czech Republic, p. 331-342