Abstract
In several studies the duration of segments (i.e. consonants and vowels) is measured to classify languages according to their speech rhythm. This research investigates whether Principal Component Analysis (PCA), a new method of analyzing segment-timing parameters for language classification, can be used to classify twelve Southeast Asian languages according to their timing patterns. The twelve Southeast Asian languages examined are Malay, Cebuano, Standard Thai, Southern Thai, Tai Yuan, Vietnamese, Hmong, Mien, Burmese, Sgaw Karen, Mon and Khmer.
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