Building High-frequency Word Lists for the Semantic Domain of ʻĀINA (‘land’) Using a Raw Corpus of Spoken ʻŌlelo Hawaiʻi
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2021
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Abstract
This dissertation presents high frequency word lists of ʻŌlelo Hawaiʻi ‘Hawaiian language’ within an emic ontology of the semantic domain of ʻĀINA ‘land, landscape’ using word frequency in the raw spoken language corpus of the radio program Ka Leo Hawaiʻi. Using freelisting and salience analysis, this study defines the core and periphery of the semantic domain of ʻĀINA within the minds of current speakers, indicating that the domain includes not only geomorphological features such as mauna ‘mountain’ and pali ‘cliff’, but also plants and animals, humans and human-made structures, and water features, including kai ‘sea, saltwater’. Based on this emic definition of the semantic domain, twelve target words are identified and used in a word association strength analysis of the Ka Leo Hawaiʻi corpus using T-scores to identify words likely to co-occur with the target ʻĀINA words. This dissertation provides the first 95% text coverage list of high frequency words in the Ka Leo Hawaiʻi corpus, with 712 of the highest-frequency words broken into seven bands of descending word frequencies. This list is cross-referenced with the results of the association strength analysis to identify high frequency ʻĀINA-related words, which yields a vocabulary list structured by frequency bands for the target semantic domain.
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Linguistics, Geography, Cultural anthropology, Corpus methods, Hawaiian language, Hawaiʻi, Landscape, Salience analysis
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298 pages
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