  In this paper, we present the first application of Native Language
Identification (NLI) for the Turkish language. NLI involves predicting the
writer's first language by analysing their writing in different languages.
While most NLI research has focused on English, our study extends its scope to
Turkish. We used the recently constructed Turkish Learner Corpus and employed a
combination of three syntactic features (CFG production rules, part-of-speech
n-grams, and function words) with L2 texts to demonstrate their effectiveness
in this task.
