The Influence of Korean early language on the Creation of Chinese Characters - Based on the relationship between The “不sound” clusters, “丕sound” clusters, “否sound” clusters, “咅sound” clusters and the Ancient Korean language

When studying The Old Chinese sound, you will find vocabulary that is the same as or similar to ancient Korean, which has raised the problem of borrowing vocabulary between the two countries. A systematic approach is needed to examine the borrowing problem, and in this paper, the study was conducted by using Phonetic Radical System. First of all, after examining the systematic correspondence with ancient Korean through [*kl(r)-]-type Compound initial consonant 圭 Phonetic Radicals([*kwrigs]) and 丯 Phonetic Radicals([*kre:ds]), we found that the [*pl(r)-]-type Compound initial consonant also systematically corresponded to ancient Korean through research on 辟 Phonetic Radicals([*pleg]), 不 Phonetic Radicals([*pɯd]), 丕 Phonetic Radicals([*phrɯ]), 否 Phonetic Radicals([*brɯʔ]), and 咅 Phonetic Radicals([*pʰlɯ̠s ̠]) are also very systematically corresponding to ancient Korean in terms of 'monthly circulation' and 'pregnancy'. Based on these, it concluded that this could never be seen as an ordinary borrowing relationship, given that the response between the Compound initial consonant of Old Chinese sound and ancient Korean was broad, had a large number of related derivatives, and that it would not completely rule out the possibility that Korean ancestral language had a certain influence on the creation of Chinese characters during the Ancient Chinese language period, where many Compound initial consonant were believed to have existed.

Authors

Publication Details

Published
2024-12-31
DOI
https://doi.org/10.35955/jch.2024.12.88.1
Primary Topic
Human auditory perception and evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Influence of Korean early language on the Creation of Chinese Characters - Based on the relationship between The “不sound” clusters, “丕sound” clusters, “否sound” clusters, “咅sound” clusters and the Ancient Korean language

Eun Ju Kim, Hwamyung Kim
Human auditory perception and evaluation
article

The Influence of Korean early language on the Creation of Chinese Characters - Based on the relationship between The “不sound” clusters, “丕sound” clusters, “否sound” clusters, “咅sound” clusters and the Ancient Korean language

Eun Ju Kim, Hwamyung Kim
article en

Abstract

When studying The Old Chinese sound, you will find vocabulary that is the same as or similar to ancient Korean, which has raised the problem of borrowing vocabulary between the two countries. A systematic approach is needed to examine the borrowing problem, and in this paper, the study was conducted by using Phonetic Radical System. First of all, after examining the systematic correspondence with ancient Korean through [*kl(r)-]-type Compound initial consonant 圭 Phonetic Radicals([*kwrigs]) and 丯 Phonetic Radicals([*kre:ds]), we found that the [*pl(r)-]-type Compound initial consonant also systematically corresponded to ancient Korean through research on 辟 Phonetic Radicals([*pleg]), 不 Phonetic Radicals([*pɯd]), 丕 Phonetic Radicals([*phrɯ]), 否 Phonetic Radicals([*brɯʔ]), and 咅 Phonetic Radicals([*pʰlɯ̠s ̠]) are also very systematically corresponding to ancient Korean in terms of 'monthly circulation' and 'pregnancy'. Based on these, it concluded that this could never be seen as an ordinary borrowing relationship, given that the response between the Compound initial consonant of Old Chinese sound and ancient Korean was broad, had a large number of related derivatives, and that it would not completely rule out the possibility that Korean ancestral language had a certain influence on the creation of Chinese characters during the Ancient Chinese language period, where many Compound initial consonant were believed to have existed.

Vol. 88
Openalex Percentile: Top 58%
Human auditory perception and evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.