I am an affiliated lecturer and a senior research associate at the Department of Computer Science and Technology of the University of Cambridge. I work on Automated Language Teaching and Assessment (ALTA) with Professor Ted Briscoe. My current research interests focus on readability in second language learning and the use of machine learning methods in educational NLP. Prior to that, I completed my Ph.D. at the Natural Language and Information Processing group, Computer Laboratory, and my research focused on compositional distributional semantics and application of semantic models to the task of error detection and correction. In particular, I have been looking into the methods of automated error detection and correction, and exploring 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 fluently 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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