Script-Description Pair Extraction from Text Documents of English as Second Language Podcast
- Hyungjong Noh ,
- Minwoo Jeong ,
- Sungjin Lee ,
- Jonghoon Lee ,
- Gary Geunbae Lee
Proceedings of the International Conference on Computer Supported Education, Valencia, Spain |
One of the best effective way to learn a language is having a conversation with a native speaker. However itis often very expensive way. A good alternative way is using Dialog-Based Computer Assisted LanguageLearning (DB-CALL) systems. The feedback quality in DB-CALL systems is very important. Therefore, to provide various expressions as feedback information, we propose a method which extracts script and their description sentence pairs from English as a Second Language (ESL) podcast web site. A linear CRFs classifier is used to find the corresponding description sentences and several features are selected accordingto the characteristics of the ESL text documents. The experimental results show that the performance of our system is acceptable.