@article{ART002877405},
author={KANG KYUNGWAN},
title={An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN},
journal={The Japanese Language Association of Korea},
issn={1229-7275},
year={2022},
number={73},
pages={33-54},
doi={10.14817/jlak.2022.73.33}
TY - JOUR
AU - KANG KYUNGWAN
TI - An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN
JO - The Japanese Language Association of Korea
PY - 2022
VL - null
IS - 73
PB - The Japanese Language Association Of Korea
SP - 33
EP - 54
SN - 1229-7275
AB - In this paper, as an example of corpus-based semantic analysis, we analyzed the differences between synonyms TAIKEN and KEIKEN from three perspectives, which were semantic characteristics, frequency, and genre of the use of collocations.
The typical grammatical patterns of TAIKEN and KEIKEN were taken out, and a list of collocations in each pattern was extracted. By classifying the semantic characteristics of the collocations, the current study clarifies the daily use of KEIKEN and the specialty of TAIKEN. It also details the specific perceptual action of TAIKEN and the experience that has become established as a memory of KEIKEN. The criteria for the proper use of TAIKEN and KEIKEN were also clearly shown while supplementing the insufficiency of previous research.
Further, by examining the frequency information and confirming that the generality of KEIKEN was slightly higher than that of TAIKEN, we also discussed in detail the differences between these two synonyms in genres, scenes, and sentences.
Based on the achievements in the current study, in future, I would like to study a concrete teaching method of how to teach the criteria for the proper use of synonyms, such as collocation, frequency, and genre, in an actual Japanese language class.
KW - Corpus;Synonym;Frequency;Collocation;Genre
DO - 10.14817/jlak.2022.73.33
ER -
KANG KYUNGWAN. (2022). An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN. The Japanese Language Association of Korea, 73, 33-54.
KANG KYUNGWAN. 2022, "An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN", The Japanese Language Association of Korea, no.73, pp.33-54. Available from: doi:10.14817/jlak.2022.73.33
KANG KYUNGWAN "An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN" The Japanese Language Association of Korea 73 pp.33-54 (2022) : 33.
KANG KYUNGWAN. An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN. 2022; 73 : 33-54. Available from: doi:10.14817/jlak.2022.73.33
KANG KYUNGWAN. "An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN" The Japanese Language Association of Korea no.73(2022) : 33-54.doi: 10.14817/jlak.2022.73.33
KANG KYUNGWAN. An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN. The Japanese Language Association of Korea, 73, 33-54. doi: 10.14817/jlak.2022.73.33
KANG KYUNGWAN. An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN. The Japanese Language Association of Korea. 2022; 73 33-54. doi: 10.14817/jlak.2022.73.33
KANG KYUNGWAN. An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN. 2022; 73 : 33-54. Available from: doi:10.14817/jlak.2022.73.33
KANG KYUNGWAN. "An example of corpus-based semantic analysis: the differences between TAIKEN and KEIKEN" The Japanese Language Association of Korea no.73(2022) : 33-54.doi: 10.14817/jlak.2022.73.33
