Native Language Identification using large scale lexical features
André Lynum · 2013
This paper describes an effort to perform Native Language Identification (NLI) using machine learning on a large amount of lexical features. The features were collected from sequences and collocations of bare word forms, suffixes and character n-grams amounting to a feature set of several hundred thousand features. These features were used to train a linear Support Vector Machine (SVM) classifier for predicting the native language category.