Publication: Telling Compounds and Phrases Apart in Vietnamese. A Random Forest Classification
Telling Compounds and Phrases Apart in Vietnamese. A Random Forest Classification
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Van Ommen, S., Torres Orjuela, C., Dong, L. Q., Giraud Anne-lise, & Bickel, B. (2025). Telling Compounds and Phrases Apart in Vietnamese. A Random Forest Classification. Taiwan Journal of Linguistics, 23(23.3), 23–48. https://doi.org/10.6519/TJL.202509_23(3).0002
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Vietnamese is an isolating language with rich productive compounding, but no morphosyntactic, phonotactic or phonological evidence to assume a linguistic level between the syllable and the phrase (Schiering et al. 2010). We model an artificial listener with a Random Forest Classifier, to study the phonetic distinguishability of compounds vs. phrases, following Nguyen and Ingram (2007). This Machine Learning algorithm represents the maximal potential for a system to differentiate the two classes based on phonetics alone. It ranks the i
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Van Ommen, S., Torres Orjuela, C., Dong, L. Q., Giraud Anne-lise, & Bickel, B. (2025). Telling Compounds and Phrases Apart in Vietnamese. A Random Forest Classification. Taiwan Journal of Linguistics, 23(23.3), 23–48. https://doi.org/10.6519/TJL.202509_23(3).0002
