| Autor: |
Tiago Pimentel, Brian Roark, Ryan Cotterell |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Transactions of the Association for Computational Linguistics, Vol 8, Pp 1-18 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2307-387X |
| DOI: |
10.1162/tacl_a_00296/43538/Phonotactic-Complexity-and-Its-Trade-offs |
| Popis: |
AbstractWe 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 is. 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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