NLPTEA 2014 Shared Task: Chinese as a Foreign Language

Co-organizers:

Liang-Chih Yu , Yuan-Ze University
Lung-Hao Lee, National Taiwan (Normal) University
Li-Ping Chang, National Taiwn Normal University

Introduction:

We organize a shared task on grammatical error diagnosis for learning Chinese as a Foreign Language (CFL) in the ICCE-2014 workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA). We also describe all aspects of this shared task, including task description, data preparation, evaluation metrics, and testing results. The aim is, through such evaluation campaigns, more advanced computer-assisted Chinese learning techniques will be emerged.

Overview Paper:

Liang-Chih Yu, Lung-Hao Lee, and Li-Ping Chang (2014). Overview of Grammatical Error Diagnosis for Learning Chinese as a Foreign Language. Proceedings of the 1st Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA'14), Nara, Japan, 30 November, 2014, pp. 42-47.

Data Release:

The data sets with gold standard annotation and the evaluation tool can be downloaded. Please comply the following aggrements.

Agreements

The undersigned party has been authorized to use NLPTEA 2014 CFL Datasets for research purposes. The undersigned party agrees to abide with the following conditions on the use of these data sets:

  1. The NLPTEA 2014 CFL Datasets can only be used in academic research and cannot be used in profit-generating or commercial activities.

  2. The undersigned party will not transfer all or any part of NLPTEA 2014 CFL Datasets to third party.

  3. The undersigned party will indicate the uses of NLPTEA 2014 CFL Datasets, and acknowlege in any papers or reporting results of academic research based on the NLPTEA 2014 CFL Datasets.

    Please cite the papers as references for using the datasets:

    Liang-Chih Yu, Lung-Hao Lee, and Li-Ping Chang (2014). Overview of Grammatical Error Diagnosis for Learning Chinese as a Foreign Language. Proceedings of the 1st Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA'14), Nara, Japan, 30 November, 2014, pp. 42-47.

  4. The undersigned party alone bears the legal responsibility for any possible infingement of copyrights or intellectual property rights that may arise in the process of using the NLPTEA 2014 CFL Datasets for profit-making