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Ekaterina (Katya) Garmash
Since 2018 I'm a data scientist at KLM Royal Dutch Airlines. I got my PhD degree from the University of Amsterdam (ILPS) in December 2017. My thesis was about statistical and neural machine translation and I was supervised by Christof Monz and Maarten de Rijke. During my PhD studies, I interned at the ML/NLP group at Amazon, Berlin from July till October 2016, and at the machine translation team at Microsoft Research, Redmond from June till September 2017. The topics I have worked on include: syntactic language modeling for machine translation, multi-source neural machine translation, machine translation for morphologically rich languages, conversational modeling.
Contact: katya.garmash@gmail.com, Linkedin profile
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Publications
- Garmash, Ekaterina. Exploring the correspondence between languages for machine translation. PhD thesis. University of Amsterdam, 2017. PDF
- Garmash, Ekaterina and Monz, Christof. Ensemble learning for Multi-Source Neural Machine Translation. Coling, Osaka, Japan, 2016. PDF
- Garmash, Ekaterina and Monz, Christof. Bilingual structured language models for statistical machine translation. EMNLP, Lisbon, Portugal, 2015. PDF
- Garmash, Ekaterina and Monz, Christof. Dependency-based bilingual language models for reordering in statistical machine translation. EMNLP, Doha, Qatar, 2014. PDF
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