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Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method

机译：中国L2句子的可读性评估：扩展知识库和基于综合评估模型的方法

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The paper assesses sentence readability based on the standards in the field of Chinese L2 teaching. In view of the inapplicability of the field standards in text readability assessment, the study focuses on two aspects. On the one hand, the graded lexicon of the HSK syllabus is extended to obtain a large-scale graded lexical knowledge base. On the other hand, sentence-based features in the existing teaching grammatical knowledge base are supplemented to achieve the automatic recognition of grammatical points and obtain quantitative grammatical indicators regarding sentence readability. Besides, based on the extended knowledge bases, comprehensive evaluation models are created to calculate the lexical and grammatical difficulties of sentences, as well as the sentence readability. The results of experiments show that the sentence readability is well differentiated in all levels of texts. Furthermore, the correlation between sentence readability and text readability is significantly improved in comparison with existing methods.
机译：本文评估了基于中国L2教学领域标准的句子可读性。鉴于文本可读性评估中现场标准的不适用性，研究重点是两个方面。一方面，HSK教学大纲的分级词典延长以获得大规模的渐变词汇知识库。另一方面，基于句子的特征在现有的教学语法知识库中补充是为了实现对语法点的自动识别，并获得关于句子可读性的定量语法指标。此外，基于扩展知识库，创建了综合评估模型，以计算句子的词汇和语法困难，以及句子可读性。实验结果表明，句子可读性在各级文本中很好地分化。此外，与现有方法相比，句子可读性和文本可读性之间的相关性显着改善。

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