Korean Morphological Richness Analyzer

GUI Application for Measuring Morphological Richness of Korean Texts

Published by Haerim Hwang

Korean morphological complexity morphological diversity morphological richness natural language processing python

2 min READ

  • The Korean Morphological Richenss Analyzer (KOMORA) 1.0 measures syntactic complexity of Korean texts.

  • The 15 indices computed by this tool are:
    (1) number of sentences,
    (2) number of eojeols,
    (3) token frequency of morphemes,
    (4) type frequency of morphemes,
    (5) type-token ratio (ttr; Chotlos 1944),
    (6) root type-token ratio (rttr; Guiraud, 1960),
    (7) corrected type-token ratio (cttr; Carrol, 1964),
    (8) Herdan (Herdan, 1960),
    (9) Summer (Somers, 1966),
    (10) Dugast (Dugast, 1978),
    (11) Maas (Maas, 1972),
    (12) mean segmental type-token ratio (msttr; Johnson, 1944),
    (13) moving-window type-token ratio (mattr; Covington & McFall, 2010),
    (14) measure of textual lexical diversity (mtld; McCarthy & Jarvis, 2010),
    (15) HD-D (McCarthy & Jarvis, 2007).


  • This tool has been developed using Lexical Richness, Kivy, and KoNLPy.

  • Find the user manual for KOMORA from here.

  • Click Here for Intel-Based Mac
    • You may need to CONTROL-CLICK or RIGHT-CLICK the app icon and then choose OPEN from the shortcut menu if this app is identified as one created by an unidentified developer on your device.

  • Click Here for ARM-Based Mac (e.g., M1 or later model)
    • You may need to CONTROL-CLICK or RIGHT-CLICK the app icon and then choose OPEN from the shortcut menu if this app is identified as one created by an unidentified developer on your device.
    • Download and install JAVA (jdk-8u411-macosx-aarch64) from HERE to open KOSCA.

  • Click Here for Windows
    • On Windows, this tool requires to (1) download and install JDK from here and (2) set Environment Variables in Java. Click here for full instructions.

  • 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.



  • When you use this tool for your research, please cite:
    Hwang, H. (2024). Development of morphological diversity in second language Korean: An NLP analysis using the Korean Morphological Richness Analyzer 1.0. System, 121, 103260. https://doi.org/10.1016/j.system.2024.103260