汉语语法错误的条件随机场诊断

NLP-TEA@ACL/IJCNLP Pub Date : 2015-07-01 DOI:10.18653/v1/W15-4402

Shih-Hung Wu, Po-Lin Chen, Liang-Pu Chen, Ping-Che Yang, Ren-Dar Yang

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引用次数: 10

摘要

本文介绍了如何建立一个基于条件随机场的汉语语法错误诊断系统。该系统可以在学习者的文章中发现四种语法错误。这四种类型的错误分别是冗余词、缺词、选词不当和无序词。该系统在2015年NLP-TEA-2 CGED共享任务中假阳性率最高，在三个诊断级别中准确率最高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chinese Grammatical Error Diagnosis by Conditional Random Fields

This paper reports how to build a Chinese Grammatical Error Diagnosis system based on the conditional random fields (CRF). The system can find four types of grammatical errors in learners’ essays. The four types or errors are redundant words, missing words, bad word selection, and disorder words. Our system presents the best false positive rate in 2015 NLP-TEA-2 CGED shared task, and also the best precision rate in three diagnosis levels.

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NLP-TEA@ACL/IJCNLP

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