Ping-Che Yang

Also published as: Ping-che Yang


2018

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CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task
Shih-Hung Wu | Jun-Wei Wang | Liang-Pu Chen | Ping-Che Yang
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications

This paper reports how we build a Chinese Grammatical Error Diagnosis system in the NLPTEA-2018 CGED shared task. In 2018, we sent three runs with three different approaches. The first one is a pattern-based approach by frequent error pattern matching. The second one is a sequential labelling approach by conditional random fields (CRF). The third one is a rewriting approach by sequence to sequence (seq2seq) model. The three approaches have different properties that aim to optimize different performance metrics and the formal run results show the differences as we expected.

2016

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命名實體識別運用於產品同義詞擴增(Using Named Entity Recognition Increases the Synonym of Products)[In Chinese]
Chihli Hung | Jheng-Hua Huang | Rui-Jia Zhong | Liang-Pu Chen | Ping-Che Yang
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 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.

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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Bilingual Keyword Extraction and its Educational Application
Chung-Chi Huang | Mei-Hua Chen | Ping-Che Yang
Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications

2014

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Cross-Lingual Information to the Rescue in Keyword Extraction
Chung-Chi Huang | Maxine Eskenazi | Jaime Carbonell | Lun-Wei Ku | Ping-Che Yang
Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations

2012

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TransAhead: A Computer-Assisted Translation and Writing Tool
Chung-chi Huang | Ping-che Yang | Keh-jiann Chen | Jason S. Chang
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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TransAhead: A Writing Assistant for CAT and CALL
Chung-chi Huang | Ping-che Yang | Mei-hua Chen | Hung-ting Hsieh | Ting-hui Kao | Jason S. Chang
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics

2011

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片語式機器翻譯中未知詞與落單字的問題探討 (Learning to Deal with the OOV Problem in Phrase-based MT System) [In Chinese]
Ming-Chuan Chiang | Chung-Chi Huang | “He,Ho-Ching” Yen | Shih-Ting Huang | Chun-Sheng Chang | Ping-Che Yang | Tsun Ku
Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing (ROCLING 2011)

2010

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Reducing the False Alarm Rate of Chinese Character Error Detection and Correction
Shih-Hung Wu | Yong-Zhi Chen | Ping-che Yang | Tsun Ku | Chao-Lin Liu
CIPS-SIGHAN Joint Conference on Chinese Language Processing

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基於對照表以及語言模型之簡繁字體轉換 (Chinese Characters Conversion System based on Lookup Table and Language Model) [In Chinese]
Min-Hsiang Li | Shih-Hung Wu | Ping-che Yang | Tsun Ku
Proceedings of the 22nd Conference on Computational Linguistics and Speech Processing (ROCLING 2010)

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基於對照表以及語言模型之簡繁字體轉換 (Chinese Characters Conversion System based on Lookup Table and Language Model) [In Chinese]
Min-Hsiang Li | Shih-Hung Wu | Yi-Ching Zeng | Ping-che Yang | Tsun Ku
International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 1, March 2010

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Improving the Template Generation for Chinese Character Error Detection with Confusion Sets
Yong-Zhi Chen | Shih-Hung Wu | Ping-che Yang | Tsun Ku
International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 2, June 2010