Chung-Ting Tsai


pdf bib
LinggleWrite: a Coaching System for Essay Writing
Chung-Ting Tsai | Jhih-Jie Chen | Ching-Yu Yang | Jason S. Chang
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

This paper presents LinggleWrite, a writing coach that provides writing suggestions, assesses writing proficiency levels, detects grammatical errors, and offers corrective feedback in response to user’s essay. The method involves extracting grammar patterns, training models for automated essay scoring (AES) and grammatical error detection (GED), and finally retrieving plausible corrections from a n-gram search engine. Experiments on public test sets indicate that both AES and GED models achieve state-of-the-art performance. These results show that LinggleWrite is potentially useful in helping learners improve their writing skills.


pdf bib
Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners
Jhih-Jie Chen | Chingyu Yang | Peichen Ho | Ming Chiao Tsai | Chia-Fang Ho | Kai-Wen Tuan | Chung-Ting Tsai | Wen-Bin Han | Jason Chang
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

We introduce a system aimed at improving and expanding second language learners’ English vocabulary. In addition to word definitions, we provide rich lexical information such as collocations and grammar patterns for target words. We present Linggle Booster that takes an article, identifies target vocabulary, provides lexical information, and generates a quiz on target words. Linggle Booster also links named-entity to corresponding Wikipedia pages. Evaluation on a set of target words shows that the method have reasonably good performance in terms of generating useful and information for learning vocabulary.