Automatic Prediction and Linguistic Interpretation of Chinese Directional Complements Based on BERT Model

초록

The Chinese directional complement is one of the trickiest concepts for second language learners due to their derivative meanings. In particular, (sic), (sic), (sic), and (sic) are easy to be confused. This study aims to gain grammatical and educational insights for these complements with a neural network model. This study fine-tuned the Chinese BERT model with Chinese directional complement data composed of sentences containing the above four components used in literature, media, and textbook. By measuring these fine-tuned models' accuracy, we show how accurately and efficiently the neural network model predicts Chinese directional complements. Furthermore, we interpret and analyze the model's decision using the Sampling and Occlusion algorithm and visually present which components of the sentence influence the choice for complements.

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