1School of Chinese Language and Literature, Ludong University, Yantai 264025, China 2Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing 100101, China
[Objective] This paper tries to automatically generate writing samples for the Chinese Proficiency Test (HSK), aiming to help the Chinese teachers and learners prepare for the test. [Methods] First, we used the “HSK Dynamic Corpus” as the basic corpus, and trained it with the LDA model. Then, we adopted the cross-entropy strategy to select sentences containing required keywords. Finally, we manually scored the generated texts with the evaluating criteria. [Results] The generated essays contained all needed keywords and were relevant to the topics of the writing tasks. [Limitations] Some training corpus were modified HSK essays, written by non-Chinese speaker. [Conclusions] The proposed method could generate passages of good quality with the required keywords effectively.
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