Paper: Recognizing English Learners’ Native Language from Their Writings

ACL ID W13-1715
Title Recognizing English Learners’ Native Language from Their Writings
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2013
Authors

Native Language Identification (NLI), which tries to identify the native language (L1) of a second language learner based on their writ- ings, is helpful for advancing second language learning and authorship profiling in forensic linguistics. With the availability of relevant data resources, much work has been done to explore the native language of a foreign lan- guage learner. In this report, we present our system for the first shared task in Native Lan- guage Identification (NLI). We use a linear SVM classifier and explore features of words, word and character n-grams, style, and metadata. Our official system achieves accu- racy of 0.773, which ranks it 18th among the 29 teams in the closed track.