閱讀全文 | |
篇名 |
An Errors Correction Model for the Errors of Non-word and Real-word in English Composition
|
---|---|
並列篇名 | An Errors Correction Model for the Errors of Non-word and Real-word in English Composition |
作者 | Guimin Huang、Maolin Li |
英文摘要 | In the procedure from composing English, it is inevitable to face the phenomenon of word writing errors. In recent years, English composition automatic correcting system has attracted much attention. However, the precision of the existing word errors correcting system is vague generalization. So as to move forward the accuracy of checking and correcting word errors, this paper designs a word errors correction model based on natural language processing technology. This model designs phoneme matching method based on an improved IDM algorithm, and combined with a non-word input errors correction method based on character distance. The accuracy of correcting non-word errors in this model reached 86.5%. The study also proposes a real-word errors correction method, which is implemented basing on the real-word confusion set and combining the binary statistical model and the GloVe word vector model, improving the real-word errors correction method based on feature annotation of the real-word confusion set, with an accuracy of 77.9%.
|
起訖頁 | 138-150 |
關鍵詞 | English composition、IDM algorithm、binary statistical model、word embedding model |
刊名 | 電腦學刊 |
期數 | 202202 (33:1期) |
DOI |
|
QR Code | |
該期刊 上一篇
| Low illumination Image Enhancement based on Improved Retinex Algorithm |
該期刊 下一篇
| An Analysis Model of Potential Topics in English Essays Based on Semantic Space |