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首页> 外文会议>2nd Workshop on natural language processing techiques for educational applications 2015 >Condition Random Fields-based Grammatical Error Detection for Chinese as Second Language
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Condition Random Fields-based Grammatical Error Detection for Chinese as Second Language

机译：中文作为第二语言的基于条件随机场的语法错误检测

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摘要

The foreign learners are not easy to learn Chinese as a second language. Because there are many special rules different from other languages in Chinese. When the people learn Chinese as a foreign language usually make some grammatical errors, such as missing, redundant, selection and disorder. In this paper, we proposed the conditional random fields (CRFs) to detect the grammatical errors. The features based on statistical word and part-of-speech (POS) pattern were adopted here. The relationships between words by part-of-speech are helpful for Chinese grammatical error detection. Finally, we according to CRF determined which error types in sentences. According to the observation of experimental results, the performance of the proposed model is acceptable in precision and recall rates.
机译：外国人学习汉语作为第二语言并不容易。因为有许多与其他中文语言不同的特殊规则。人们学习汉语作为外语时，通常会犯一些语法错误，例如遗漏，多余，选择和混乱。在本文中，我们提出了条件随机场（CRF）来检测语法错误。这里采用了基于统计词和词性（POS）模式的特征。词间词间的关系有助于汉语语法错误的检测。最后，我们根据CRF确定了句子中的错误类型。根据实验结果的观察，提出的模型的性能在精度和召回率上是可以接受的。

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  • 来源
  • 会议地点 Beijing(CA)
  • 作者

    Jui-Feng Yeh; Chan-Kun Yeh; Kai-Hsiang Yu; Ya-Ting Li; Wan-Ling Tsai;

  • 作者单位

    Department of Computer Science and Information Engineering, National Chiayi University No.300 Syuefu Rd., Chiayi City 60004, Taiwan (R.O.C.);

    Department of Computer Science and Information Engineering, National Chiayi University No.300 Syuefu Rd., Chiayi City 60004, Taiwan (R.O.C.);

    Department of Computer Science and Information Engineering, National Chiayi University No.300 Syuefu Rd., Chiayi City 60004, Taiwan (R.O.C.);

    Department of Computer Science and Information Engineering, National Chiayi University No.300 Syuefu Rd., Chiayi City 60004, Taiwan (R.O.C.);

    Department of Computer Science and Information Engineering, National Chiayi University No.300 Syuefu Rd., Chiayi City 60004, Taiwan (R.O.C.);

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