Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTM
A new deep learning model based on Seq2Seq and Bi-LSTM is proposed for Chinese text automatic proofreading. Different from the traditional rule-based and probabilistic statistical methods, a Chinese text automatic proofreading model is implemented by adding Bi-LSTM unit and attention mechanism based...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2020-03-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000116336 |
| _version_ | 1818513208223203328 |
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| author | Gong Yonggang Wu Meng Lian Xiaoqin Pei Chenchen |
| author_facet | Gong Yonggang Wu Meng Lian Xiaoqin Pei Chenchen |
| author_sort | Gong Yonggang |
| collection | DOAJ |
| description | A new deep learning model based on Seq2Seq and Bi-LSTM is proposed for Chinese text automatic proofreading. Different from the traditional rule-based and probabilistic statistical methods, a Chinese text automatic proofreading model is implemented by adding Bi-LSTM unit and attention mechanism based on Seq2Seq infrastructure improvement. Comparative experiments of different models were carried out through the open data sets. Experimental results show that the new model can effectively deal with long-distance text errors and semantic errors. The addition of Bi-RNN and attention mechanism can improve the performance of Chinese text proofreading model. |
| first_indexed | 2024-12-10T23:58:03Z |
| format | Article |
| id | doaj.art-fb9acbea03544e198dd4aa8d6e47b996 |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-12-10T23:58:03Z |
| publishDate | 2020-03-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-fb9acbea03544e198dd4aa8d6e47b9962022-12-22T01:28:32ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982020-03-01463424610.16157/j.issn.0258-7998.1902213000116336Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTMGong Yonggang0Wu Meng1Lian Xiaoqin2Pei Chenchen3Beijing Key Laboratory of Food Safety Big Data Technology，College of Computer and Information Engineering， Beijing Technology and Business University，Beijing 100048，ChinaBeijing Key Laboratory of Food Safety Big Data Technology，College of Computer and Information Engineering， Beijing Technology and Business University，Beijing 100048，ChinaBeijing Key Laboratory of Food Safety Big Data Technology，College of Computer and Information Engineering， Beijing Technology and Business University，Beijing 100048，ChinaBeijing Key Laboratory of Food Safety Big Data Technology，College of Computer and Information Engineering， Beijing Technology and Business University，Beijing 100048，ChinaA new deep learning model based on Seq2Seq and Bi-LSTM is proposed for Chinese text automatic proofreading. Different from the traditional rule-based and probabilistic statistical methods, a Chinese text automatic proofreading model is implemented by adding Bi-LSTM unit and attention mechanism based on Seq2Seq infrastructure improvement. Comparative experiments of different models were carried out through the open data sets. Experimental results show that the new model can effectively deal with long-distance text errors and semantic errors. The addition of Bi-RNN and attention mechanism can improve the performance of Chinese text proofreading model.http://www.chinaaet.com/article/3000116336chinese text proofreadingrecurrent neural networkseq2seqnatural language proceessing |
| spellingShingle | Gong Yonggang Wu Meng Lian Xiaoqin Pei Chenchen Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTM Dianzi Jishu Yingyong chinese text proofreading recurrent neural network seq2seq natural language proceessing |
| title | Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTM |
| title_full | Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTM |
| title_fullStr | Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTM |
| title_full_unstemmed | Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTM |
| title_short | Chinese text automatic proofreading model based on Seq2Seq and Bi-LSTM |
| title_sort | chinese text automatic proofreading model based on seq2seq and bi lstm |
| topic | chinese text proofreading recurrent neural network seq2seq natural language proceessing |
| url | http://www.chinaaet.com/article/3000116336 |
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