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Related Experiment Video

Updated: Jul 17, 2025

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

Scaling behavior and text cohesion in Korean texts.

Hokyun Kim¹, Sanghu Park², Minhyuk Jeong²

¹Korea Advanced Institute of Science and Technology, Moon Soul Graduate School of Future Strategy, Daejeon, South Korea.

|August 31, 2023

Summary

This study reveals Korean and English texts have different word distribution scaling exponents. Korean text genres show similar exponents, but expert reports have higher cohesion than novels.

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Area of Science:

Computational linguistics
Quantitative linguistics
Natural language processing

Background:

Text analysis often relies on statistical properties of word distributions.
Understanding text cohesion is crucial for genre differentiation and linguistic analysis.
Power-law distributions are frequently observed in natural language phenomena.

Purpose of the Study:

To investigate if scaling exponents and text cohesion can differentiate Korean text types.
To explore the relationship between microscale interactions and word distribution scaling.
To assess the viability of using text cohesion for genre inference in Korean texts.

Main Methods:

Utilized a controlled growth process model to analyze word distributions.
Incorporated interaction effects into a power-law distribution framework.
Estimated scaling exponents and cohesion parameters for various Korean text genres and English texts.

Main Results:

Korean word distributions exhibit different scaling exponent ranges compared to English.
Korean text genres demonstrated similar scaling exponents irrespective of genre.
A higher interaction effect, indicating greater cohesion, was observed in expert reports compared to novels.

Conclusions:

The controlled growth process model provides a valid framework for explaining word distribution scaling via microscale interactions.
Text cohesion serves as a viable metric for inferring text genres, particularly in Korean.
The findings contribute to quantitative linguistics and natural language processing by offering new insights into text structure and genre identification.