Korean Learning Assistant System with Automatically Extracted Knowledge


KIPS Transactions on Software and Data Engineering, Vol. 1, No. 2, pp. 91-102, Nov. 2012
10.3745/KTSDE.2012.1.2.91, Full Text:

Abstract

Computer aided language learning has become popular. But the level of automation of constructing a Korean learning assistant system is not so high because a practical language learning system needs large scale knowledge resources, which is very hard to acquire. In this paper, we propose a Korean learning assistant system that utilizes easily obtainable knowledge resources like a corpus, web documents and a lexicon. Our system has three modules - problem solving, pronunciation marker and writing assistant. Automatic problem generator uses a corpus and a lexicon to make problems with one correct answer and three distracters, then verifies their suitability by utilizing frequency information from web documents. We analyze pronunciation rules for a pronunciation marker and recommend appropriate words and sentences in real-time by using data extracted from a corpus. In experiment, we evaluate 400 automatically generated problems, which show 89.9% problem suitability and 64.9% example suitability.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
G. T. Park, T. H. Lee, S. H. Hwang, B. M. Kim, H. A. Lee and Y. S. Shin, "Korean Learning Assistant System with Automatically Extracted Knowledge," KIPS Transactions on Software and Data Engineering, vol. 1, no. 2, pp. 91-102, 2012. DOI: 10.3745/KTSDE.2012.1.2.91.

[ACM Style]
Gi Tae Park, Tae Hoon Lee, So Hyun Hwang, Byeong Man Kim, Hyun Ah Lee, and Yoon Sik Shin. 2012. Korean Learning Assistant System with Automatically Extracted Knowledge. KIPS Transactions on Software and Data Engineering, 1, 2, (2012), 91-102. DOI: 10.3745/KTSDE.2012.1.2.91.