Li-Ping Chang

Overview of the NLP-TEA 2015 Shared Task for Chinese Grammatical Error Diagnosis

This paper introduces the NLP-TEA 2015 shared task for Chinese grammatical error diagnosis. We describe the task, data preparation, performance metrics, and evaluation results. The hope is that such an evaluation campaign may produce more advanced Chinese grammatical error diagnosis techniques. All data sets with gold standards and evaluation tools are publicly available for research purposes.

Introduction to SIGHAN 2015 Bake-off for Chinese Spelling Check

This paper introduces the SIGHAN 2015 Bake-off for Chinese Spelling Check, including task description, data preparation, performance metrics, and evaluation results. The competition reveals current state-of-the-art NLP techniques in dealing with Chinese spelling checking. All data sets with gold standards and evaluation tool used in this bake-off are publicly available for future research.

The Development of the Test of Chinese as a Foreign Language (TOCFL)

This chapter describes the development of the Test of Chinese as a Foreign Language (TOCFL), which is a proficiency assessment tool for Chinese learners. It is divided into four major sections. First, a brief background of Teaching Chinese as a Second Language in Taiwan is provided together with the historical development of the Chinese Proficiency Test (CPT) and the Test of Proficiency-Huayu (TOP), which were the predecessors of the TOCFL. The second section discusses issues that the TOCFL research team faced in its effort to map the test to the Common European Framework of Reference (CEFR). The third section then discusses four challenging issues that the TOCFL research team has faced over the years in its effort to develop and maintain a standardized CSL/CFL test. The final section presents some washback effects of the TOCFL and work in progress.

Developing learner corpus annotation for Chinese grammatical errors

This study describes the construction of the TOCFL (Test Of Chinese as a Foreign Language) learner corpus, including the collection and grammatical error annotation of 2,837 essays written by Chinese language learners originating from a total of 46 different mother-tongue languages. We propose hierarchical tagging sets to manually annotate grammatical errors, resulting in 33,835 inappropriate usages. Our built corpus has been provided for the shared tasks on Chinese grammatical error diagnosis. These demonstrate the usability of our learner corpus annotation.