診斷學習者英語寫作篇章結構:以篇章連接副詞為例

Translated title of the contribution: Diagnosing discoursal organization in learner writing via conjunctive adverbials

Tung Yu Kao, Li Mei Chen

Research output: Contribution to conferencePaperpeer-review

Abstract

The present study aims to investigate genre influence on the use and misuse of conjunctive adverbials (hereafter CAs) by compiling a learner corpus annotated with discoursal information on CAs. To do so, an online interface is constructed to collect and annotate data, and an annotating system for identifying the use and misuse of CAs is developed. The results show that genre difference has no impact on the use and misuse of CAs, but that there does exist a norm distribution of textual relations performed by CAs, indicating a preference preset in human cognition. Statistic analysis also shows that the proposed misuse patterns do significantly differ from one another in terms of appropriateness and necessity, ratifying the need to differentiate these misuse patterns. The results in the present study have three possible applications. First, the annotate data can serve as training data for developing technology that automatically diagnoses learner writing on the discoursal level. Second, the founding that textual relations performed by CAs form a distribution norm can be used as a principle to evaluate discoursal organization in learner writing. Lastly, the misuse framework not only identifies the location of misuse of CAs but also indicates direction for correction.

Translated title of the contributionDiagnosing discoursal organization in learner writing via conjunctive adverbials
Original languageChinese (Traditional)
Pages310-322
Number of pages13
Publication statusPublished - 2011
Event23rd Conference on Computational Linguistics and Speech Processing, ROCLING 2011 - Taipei, Taiwan
Duration: 2011 Sep 82011 Sep 9

Conference

Conference23rd Conference on Computational Linguistics and Speech Processing, ROCLING 2011
Country/TerritoryTaiwan
CityTaipei
Period11-09-0811-09-09

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Speech and Hearing

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