Automatic Readability Assessment Based on Phraseological Complexity

Author:

Yin Xiaojun,Cao Gang,Wang Lanting,Xu Juan

Publisher

Springer Nature Singapore

Reference30 articles.

1. Heilman, M., Collins-Thompson, K., Callan, J., et al.: Combining lexical and grammatical features to improve readability measures for first and second language texts. In: Human language technologies 2007: the Conference of the North American Chapter of the Association for Computational Linguistics

2. Proceedings of the Main Conference, pp. 460-467 (2007)

3. Vajjala, S.,  Meurers, D.: On improving the accuracy of readability classification using insights from second language acquisition. In: Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, pp. 163–173 (2012)

4. Siyuan, W., Dong, Y., Xin, J.: Construction and validity verification of Chinese text readability feature system. World Chin. Teach. Learn. 1, 81–97 (2020)

5. Jianyong, C.: Research on L2 Chinese Text Readability. PhD thesis, Beijing Language and Culture University, Beijing (2020)

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