首页|基于CRF的中文语法错误诊断系统的实现与应用

基于CRF的中文语法错误诊断系统的实现与应用

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随着中国国际影响力的提高和汉语国际地位的提升,将中文作为第二语言学习的外国人数量逐年增加,中文已成为世界上最为流行的语言之一.基于此,中文语法错误诊断的研究备受关注.首先,从中文语法错误诊断的定义出发,总结目前的研究现状.其次,通过对各种中文语法错误诊断方法的分析,构建了基于条件随机场的中文语法错误诊断系统,探究中文语法自动检错系统及其具体应用流程,以帮助中文学习者提高学习效率.在CGED2016数据集上的实验结果表明,该系统在检测层和识别层上的性能较好,在位置层上还需要改进.
Implementation and Application of Chinese Grammatical Error Diagnosis System Based on CRF
With the improvement of China's international influence and the worldwide status of Chinese,the number of foreigners who learn Chinese as a second language increases year by year,and Chinese has become one of the most popular languages in the world.Based on this,the research of Chinese grammatical error diagnosis has attracted much attention.This paper first summari-zes the current research status from the definition of Chinese grammatical error diagnosis.Secondly,through the analysis of vari-ous Chinese grammatical error diagnosis methods,a Chinese grammatical error diagnosis system based on conditional random field(CRF)is constructed to explore the Chinese grammar automatic error detection system and its specific application process,so as to assist Chinese learners in improving their learning efficiency.Experimental results on the CGED2016 dataset show that the system performs well in the detection and identification levels and needs to be improved in the position level.

Chinese grammatical error diagnosisSequence annotationConditional random fieldNatural language processing

李斌、王浩畅

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湖南科技大学计算机科学与工程学院 湖南湘潭 411201

东北石油大学计算机与信息技术学院 黑龙江大庆 163318

中文语法错误诊断 序列标注 条件随机场 自然语言处理

国家自然科学基金黑龙江省自然科学基金

61402099LH2021F004

2024

计算机科学
重庆西南信息有限公司(原科技部西南信息中心)

计算机科学

CSTPCD北大核心
影响因子:0.944
ISSN:1002-137X
年,卷(期):2024.51(z1)
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