I am a research associate at the Computer Laboratory of the University of Cambridge. I work on Automated Language Teaching and Assessment (ALTA) with Professor Ted Briscoe. I have recently completed my Ph.D. at the Natural Language and Information Processing group, Computer Laboratory. My research focuses on compositional distributional semantics and the use of machine learning methods in educational NLP. In particular, I investigate the methods of automated error detection and correction, and explore how compositional distributional semantics can be used to detect and correct errors in lexical choice. I am also interested in vocabulary acquisition and in how NLP and ML techniques can help learners of language acquire and expand their vocabulary in order to read and write in a foreign language.
In 2011, I gained the MPhil Degree in Advanced Computer Science from the University of Cambridge. My research focused on non-native author profiling and native language identification in texts written by non-native speakers of English. In particular, I investigated how to automatically detect native language of an anonymous writer using idiosyncrasies and errors in their writing.
Before coming to Cambridge, I finished Master's Degree in Computational Linguistics at the University of Tuebingen. My MA project focused on ensemble-based learning and its application to morphological analysis of German. This project was done under the supervision of Professor Erhard Hinrichs and Dr Dale Gerdemann.
E-mail: Ekaterina.Kochmar [at] cl.cam.ac.uk
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