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Native Language Identification Using English Texts

Student: Drozd Olga

Supervisor: Svetlana Toldova

Faculty: Faculty of Humanities

Educational Programme: Language Theory and Computational Linguistics (Master)

Year of Graduation: 2017

Native Language Identification is the task of identifying an author’s native language based on their productions in a second language. In this thesis, we work with 12,000 essays written in English by non-native speakers. Dataset contains essays of 11 different language speakers. We use machine learning methods (SVM) to determine which group an author’s native language belongs to. By training models with different feature and parameter settings, we were able to reach an accuracy of 84%.

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