Yoon-Hyung Roh

GenieTutor: A Computer-Assisted Second-Language Learning System Based on Spoken Language Understanding

This paper introduces a computer-assisted second-language learning system using spoken language understanding. The system consists of automatic speech recognition, semantic/grammar correction evaluation, and tutoring module. The speech recognition is optimized for non-natives as well as natives for educational purpose and smooth interaction. Semantic/grammar correction evaluation evaluates whether the non-native learners utterance is appropriate semantically and is correct grammatically. Tutoring module decides to go to the next turn or ask the learner to try again, and also provides a turn-by-turn corrective feedback using evaluation results. We constructed English learning service consisting of three stages such as Pronunciation Clinic, Think&Talk and Look&Talk using the system.

Domain Adaptation for English---Korean MT System: From Patent Domain to IT Web News Domain

This paper addresses a method to adapt an existing machine translation (MT) system for a newly targeted translation domain. Especially, we give detailed descriptions of customizing a patent specific English-Korean machine translation system for IT web news domain. The proposed method includes the followings: constructing a corpus from documents of IT web news domain, analyzing characteristics of IT web news sentences according to each viewpoint of MT system modules (tagger, parser, transfer) and translation knowledge, and adapting each MT system modules and translation knowledge considering characteristics of IT web news domain. To evaluate our domain adaptation method, we conducted a human evaluation and an automatic evaluation. The experiment showed promising results for diverse sentences extracted from IT Web News documents.