GUI Application for Measuring Syntactic Compexity of Korean Texts
Published by Haerim Hwang
Korean syntactic complexity natural language processing python
2 min READ
The Korean Syntactic Complexity Analyzer (KOSCA) measures syntactic complexity of Korean texts.
The seven indices computed by this tool are:
(1) number of sentences,
(2) number of morphemes per sentence,
(3) number of coordinate clauses per sentence,
(4) number of relative clauses per sentence,
(5) number of subordinate conjunctive endings per sentence,
(6) number of verbs per sentence, and
(7) type frequency of particles per sentence.
It can take 1 to 3 minutes to open the application depending on the performance of your device because it installs a few natural language processing packages.
Hwang, H., & Kim, H. (2024). Korean Syntactic Complexity Analyzer (KOSCA): An NLP tool for the analysis of syntactic complexity in second language production. Language Testing. Advance online publication. https://doi.org/10.1177/02655322231222596