Open Access
Issue
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
Article Number 06019
Number of page(s) 6
Section Artificial Recognition and Application
DOI https://doi.org/10.1051/matecconf/202133606019
Published online 15 February 2021
  1. Cai Zhijie, Sun Maosong, Cairang Zhuoma. A method for spell checking Tibetan characters based on vector model[J].Journal of Chinese Information Processing,2018, 32(09): 47-55. [Google Scholar]
  2. Zhu Jie, Li Tianrui, Liu Shengjiu. Tibetan text automatic proofreading method and system design [J]. Journal of Peking University (Natural Science Edition), 2014, 50(01):142-148. [Google Scholar]
  3. Liu Huidan, Hong Jinling, Nuo Minghua, Wu Jian. Statistics and analysis of spelling errors in Tibetan syllables based on large-scale internet corpus[J].Journal of Chinese Information Processing,2017, 31(02): 61-70. [Google Scholar]
  4. S.P.Corder. 1967. the Significance of Learner's Errors [M]. International Review of Applied Linguistics,(5):161-170. [Google Scholar]
  5. Ng H T, Wu S.M, Briscoe T, et al. The CoNLL-2014 Shared Task on Grammatical Error Correction [C]// Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task. 2014 [Google Scholar]
  6. Zhao Y, Jiang N, Sun W, et al. Overview of the NLPCC 2018 Shared Task: Grammatical Error Correction[C]// CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 2018:439-445. [Google Scholar]
  7. Tan Yongmei, Yang Yixiao, Yang Lin, Liu Shuwen. Automatic correction method for grammatical errors of ESL articles based on LSTM and N-gram [J].Journal of Chinese Information Processing, 2018, 32(06):19-27. [Google Scholar]
  8. Liang Maocheng, Deng Hailong. Research on automatic spell check for large-scale English learner corpus construction [J].Foreign Language Audio-visual Teaching, 2020(01):31-37+5. [Google Scholar]
  9. Duojie Zhuoma. Research on the application of N-element model in local error checking of Tibetan text [J].Computer Engineering and Science, 2009, 31(4): 117-119+123. [Google Scholar]
  10. Guan Bai. Research on modern Tibetan syllable characters in automatic proofreading [J].Journal of Tibet University (Natural Science Edition), 2011, 26(01):69-75. [Google Scholar]
  11. S.P. Corder. 1971. Idiosyncratic Dialects and Error Analysis [J].IRAL, (8):95-110. [Google Scholar]
  12. S.P. Corder. 1981. analysis and interlanguage [M]. Oxford: Oxford University Press. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.