With the essays part from The International Corpus Network of Asian Learners of English (ICNALE) and the TOEFL11 corpus, we fine-tuned neural language models based on BERT to predict English learners' native languages. Results showed neural models ca
n learn to represent and detect such native language impacts, but multilingually trained models have no advantage in doing so.