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Ekaterina (Katya) GarmashPhD from the University of Amsterdam (ILPS), supervised by Christof Monz. MSc in Logic (Univesity of Amsterdam), Specialist in Linguistics (Moscow State University). Currently a researcher at Huawei Russian Research Institute in Moscow. Jobs before that: data scientist at KLM Royal Dutch Airlines (Amsterdam), machine learning engineer at Unbabel (Lisbon). Also interned at Amazon (Berlin) and Microsoft Research (Redmond). Topics: NLP, source code analysis, machine learning, linguistics
Contact: katya.garmash@gmail.com, Linkedin, Twitter
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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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