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Volume 39 Issue 1
Jan.  2021
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Article Navigation >  DIGITAL TECHNOLOGY & APPLICATION  > 2021  >  39(1): 177-179
HU Rui. An Implementation of Pseudo Corpus Generation for Chinese Spelling Checking[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 177-179. doi: 10.19695/j.cnki.cn12-1369.2021.01.55
Citation: HU Rui. An Implementation of Pseudo Corpus Generation for Chinese Spelling Checking[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 177-179. doi: 10.19695/j.cnki.cn12-1369.2021.01.55
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An Implementation of Pseudo Corpus Generation for Chinese Spelling Checking

doi: 10.19695/j.cnki.cn12-1369.2021.01.55

  • School of Information Science and Technology, North China University of Technology, Beijing 100144

  • Received Date: 2020-12-01
  • Rev Recd Date: 2021-01-17
    • Available Online: 2021-09-23
  • Publish Date: 2021-01-25
    Abstract
  • Most of Chinese spelling check tasks are implemented as sequence tagging tasks. However, those implementations are limited by the size and source of corpus they used. By now, most of Chinese spelling check corpus are extracted from a condition called CFL (Chinese as Foreign Language), which the errors are made by Chinese language learners when they are writing in an exam. Corpus constructed by this method are often limited by cost, which further limited their size. Those limitations make them hardly be used in spelling check task for publish industry. This paper composes a method to generate large amount of pseudo corpus from Wikipedia.

     

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    • References(4)
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    CHOE Y J,HAM J,PARK K.A Neural Grammatical Error Correction System Built on Better Pre-training and Sequential Transfer Learning[C].ACL 2019 BEA Workshop Shared Task,2019:32-43.
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