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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (9): 80-87    DOI: 10.11925/infotech.2096-3467.2018.0204
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Generating HSK Writing Essays with LDA Model
Yanhua Xu1,Yujie Miao2,Lin Miao2,Xueqiang Lv2()
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
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Abstract  

[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.

Key wordsNatural Language Generation      LDA Model      Artificial Evaluation     
Received: 26 February 2018      Published: 25 October 2018

Cite this article:

Yanhua Xu,Yujie Miao,Lin Miao,Xueqiang Lv. Generating HSK Writing Essays with LDA Model. Data Analysis and Knowledge Discovery, 2018, 2(9): 80-87.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.0204     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I9/80

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