Building a TOCFL learner corpus for Chinese grammatical error diagnosis

Lung Hao Lee, Yuen Hsien Tseng, Li Ping Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study describes the construction of a TOCFL learner corpus and its usage for Chinese grammatical error diagnosis. We collected essays from the Test Of Chinese as a Foreign Language (TOCFL) and annotated grammatical errors using hierarchical tagging sets. Two kinds of error classifications were used simultaneously to tag grammatical errors. The first capital letter of each error tags denotes the coarse-grained surface differences, while the subsequent lowercase letters denote the fine-grained linguistic categories. A total of 33,835 grammatical errors in 2,837 essays and their corresponding corrections were manually annotated. We then used the Standard Generalized Markup Language to format learner texts and annotations along with learners' accompanying metadata. Parts of the TOCFL learner corpus have been provided for shared tasks on Chinese grammatical error diagnosis. We also investigated systems participating in the shared tasks to better understand current achievements and challenges. The datasets are publicly available to facilitate further research. To our best knowledge, this is the first annotated learner corpus of traditional Chinese, and the entire learner corpus will be publicly released.

Original languageEnglish
Title of host publicationLREC 2018 - 11th International Conference on Language Resources and Evaluation
EditorsHitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga
PublisherEuropean Language Resources Association (ELRA)
Pages2298-2304
Number of pages7
ISBN (Electronic)9791095546009
Publication statusPublished - 2019 Jan 1
Event11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan
Duration: 2018 May 72018 May 12

Publication series

NameLREC 2018 - 11th International Conference on Language Resources and Evaluation

Conference

Conference11th International Conference on Language Resources and Evaluation, LREC 2018
CountryJapan
CityMiyazaki
Period18/5/718/5/12

Keywords

  • Computer-assisted language learning
  • Grammatical error diagnosis
  • Interlanguage analysis
  • Second language acquisition
  • Spelling corrector
  • Corpora
  • Less-resourced language
  • Noisy channel

ASJC Scopus subject areas

  • Education
  • Library and Information Sciences
  • Language and Linguistics
  • Linguistics and Language

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