Po-Lin Chen


2016

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CYUT-III System at Chinese Grammatical Error Diagnosis Task
Po-Lin Chen | Shih-Hung Wu | Liang-Pu Chen | Ping-Che Yang
Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2016)

This paper describe the CYUT-III system on grammar error detection in the 2016 NLP-TEA Chinese Grammar Error Detection shared task CGED. In this task a system has to detect four types of errors, in-cluding redundant word error, missing word error, word selection error and word ordering error. Based on the conditional random fields (CRF) model, our system is a linear tagger that can detect the errors in learners’ essays. Since the system performance depends on the features heavily, in this paper, we are going to report how to integrate the collocation feature into the CRF model. Our system presents the best detection accuracy and Identification accuracy on the TOCFL dataset, which is in traditional Chi-nese. The same system also works well on the simplified Chinese HSK dataset.

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以語言模型評估學習者文句修改前後之流暢度(Using language model to assess the fluency of learners sentences edited by teachers)[In Chinese]
Guan-Ying Pu | Po-Lin Chen | Shih-Hung Wu
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 2016)

2015

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Chinese Grammatical Error Diagnosis by Conditional Random Fields
Po-Lin Chen | Shih-Hung Wu | Liang-Pu Chen | Ping-Che Yang | Ren-Dar Yang
Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications

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以語言模型判斷學習者文句流暢度(Analyzing Learners ‘Writing Fluency Based on Language Model)[In Chinese]
Po-Lin Chen | Shih-Hung Wu
Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015)