Phonotactic Complexity and its Trade-offs
May 07, 2020 ยท Declared Dead ยท ๐ Transactions of the Association for Computational Linguistics
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Authors
Tiago Pimentel, Brian Roark, Ryan Cotterell
arXiv ID
2005.03774
Category
cs.CL: Computation & Language
Citations
41
Venue
Transactions of the Association for Computational Linguistics
Last Checked
6 months ago
Abstract
We present methods for calculating a measure of phonotactic complexity---bits per phoneme---that permits a straightforward cross-linguistic comparison. When given a word, represented as a sequence of phonemic segments such as symbols in the international phonetic alphabet, and a statistical model trained on a sample of word types from the language, we can approximately measure bits per phoneme using the negative log-probability of that word under the model. This simple measure allows us to compare the entropy across languages, giving insight into how complex a language's phonotactics are. Using a collection of 1016 basic concept words across 106 languages, we demonstrate a very strong negative correlation of -0.74 between bits per phoneme and the average length of words.
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