From categories to gradience: Auto-coding sociophonetic variation with random forests
The time-consuming nature of coding sociophonetic variables that are typically treated as categorical represents an impediment to addressing research questions around these variables that require large volumes of data. In this paper, we apply a machine learning method, random forest classification (...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Open Library of Humanities
2020-06-01
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| Series: | Laboratory Phonology |
| Subjects: | |
| Online Access: | https://www.journal-labphon.org/articles/216 |