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Abstract:Chinese word usage errors often occur in non-native Chinese learners' writing. It is very helpful for non-native Chinese learners to detect them automatically when learning writing. In this paper, we propose a novel approach, which takes advantages of different auxiliary tasks, such as POS-tagging prediction and word log frequency prediction, to help the task of Chinese word usage error detection. With the help of these auxiliary tasks, we achieve the state-of-the-art results on the performances on the HSK corpus data, without any other extra data.
* Proceedings of the 3rd IEEE International Conference on
Computational Intelligence and Applications (ICCIA 2018) * 4 pages, 2 figures, 1 table, has been accepted as a conference paper
of the 3rd IEEE International Conference on Computational Intelligence and
Applications (ICCIA 2018)