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Korean word frequency and commonality study for augmentative and alternative communication.
1Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA.
A core vocabulary list of 219 Korean words was developed for augmentative and alternative communication (AAC) interventions, identifying high-frequency words essential for effective communication support in adults.
Area of Science:
- Speech and Language Pathology
- Computational Linguistics
- Human-Computer Interaction
Background:
- Augmentative and Alternative Communication (AAC) interventions rely on vocabulary frequency data.
- Limited research exists on core vocabulary (CV) for adult Korean speakers.
- Growing need for AAC interventions for Korean adults necessitates identifying high-frequency words.
Purpose of the Study:
- To identify the frequency and commonality of spoken Korean words in spontaneous conversations.
- To develop a Korean CV list for AAC interventions.
- To analyze the characteristics of identified words and evaluate a quantitative analysis procedure for word selection.
Main Methods:
- Collected language samples from 12 native Korean-speaking adults during conversations.
- Utilized grouped frequency distribution analysis and word commonality analysis to identify CV words.
Main Results:
- Established a Korean CV list comprising 219 high-frequency and common words, representing 60.82% of the total sample.
- Analysis revealed a prevalence of particles and verb endings within the CV list.
- Identified a distinct frequency distribution pattern (0.2‰) supporting high-frequency word selection.
Conclusions:
- The developed Korean CV list, considering linguistic features, will aid in creating effective Korean AAC interventions.
- Grouped frequency distribution is a robust method for distinguishing high-frequency words, enhancing AAC vocabulary selection and organization.
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