음성음운형태론연구 20집 3호 박나영
2015.01.02 23:38
음성음운형태론연구 20집 3호 박나영
Park, Nayoung. 2014. 한국어 명사의 음소배열제약에 대한 기계학습. Studies in Phonetics, Phonology and Morphology 20.3. 297-322.
For the purpose of investigating not only gradient but also categorical phonotactic constraints in Korean, this study explores the machine learning of phonotactic constraints in Korean. In so doing, it focuses on phonotactic differences between native and Sino-Korean nouns. Employing 5,543 native Korean and 29,869 Sino-Korean words as the input training data, I ran a learning simulation, using a Maximum Entropy phonotactic model (Hayes and Wilson 2008). Based on the statistical distribution of the input data, markedness constraints were created with their own weights, the size of which reflects their gradient strength. The simulation results mostly confirm previous descriptions of phonotactics in Korean (for instance, no word-initial tense consonants in Sino-Korean). In addition, some previously unreported patterns were found.
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