Gary geunbae Lee
Biographic Data
| ID | 5133701 |
|---|---|
| NAME | Gary geunbae Lee |
| GIVEN NAMES | Gary geunbae |
| FAMILY NAME | Lee |
| SIGNATURE | LEE G G |
| AFFILIATIONS | NLP Laboratory, Electrical and Computer Engineering Division, Pohang University of Science Technology (POSTECH), Pohang, 790-784, Korea. |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 17 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 1 |
On the effectiveness of Robot-Assisted Language Learning
This study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL) which is in its early stages. To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive environment. A total of 24 elementary students, ranging in age from ten to twelve, were enrolled in English l…
Syllable-Pattern-Based Unknown-Morpheme Segmentation and Estimation for Hybrid Part-of-Speech Tagging of Korean
Most errors in Korean morphological analysis and part-of-speech (POS) tagging are caused by unknown morphemes. This paper presents a syllable-pattern-based generalized unknown-morpheme-estimation method with POSTAG (POStech TAGger), 1 which is a statistical and rule-based hybrid POS tagging system. This method of guessing unknown morphemes is based on a combination of a morpheme pattern dictionary that encodes general lexical patterns of Korean m…
On the effectiveness of Robot-Assisted Language Learning
This study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL) which is in its early stages. To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive environment. A total of 24 elementary students, ranging in age from ten to twelve, were enrolled in English l…
Syllable-Pattern-Based Unknown-Morpheme Segmentation and Estimation for Hybrid Part-of-Speech Tagging of Korean
Most errors in Korean morphological analysis and part-of-speech (POS) tagging are caused by unknown morphemes. This paper presents a syllable-pattern-based generalized unknown-morpheme-estimation method with POSTAG (POStech TAGger), 1 which is a statistical and rule-based hybrid POS tagging system. This method of guessing unknown morphemes is based on a combination of a morpheme pattern dictionary that encodes general lexical patterns of Korean m…
On the effectiveness of Robot-Assisted Language Learning
This study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL) which is in its early stages. To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive environment. A total of 24 elementary students, ranging in age from ten to twelve, were enrolled in English l…
Artificial Intelligence (2 works) · Computer Science (2 works) · Mathematics (2 works) · Active listening (1 work) · AI in Service Interactions (1 work) · Algorithms and Data Compression (1 work) · Communication (1 work) · Descriptive statistics (1 work) · Mathematics education (1 work) · Morpheme (1 work)