Related papers: Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon

Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon

URL: http://arxiv.org/abs/2406.05186v1
Date: Fri, 7 Jun 2024 18:09:21 GMT
Title: Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon
Authors: Amanda Doucette, Ryan Cotterell, Morgan Sonderegger, Timothy J. O'Donnell,
Abstract summary: We find evidence of a positive relationship between morphological irregularity and phonotactic complexity within languages. We also find weak evidence of a negative relationship between word length and morphological irregularity.
Score: 48.00488140516432
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
Abstract: It has been claimed that within a language, morphologically irregular words are more likely to be phonotactically simple and morphologically regular words are more likely to be phonotactically complex. This inverse correlation has been demonstrated in English for a small sample of words, but has yet to be shown for a larger sample of languages. Furthermore, frequency and word length are known to influence both phonotactic complexity and morphological irregularity, and they may be confounding factors in this relationship. Therefore, we examine the relationships between all pairs of these four variables both to assess the robustness of previous findings using improved methodology and as a step towards understanding the underlying causal relationship. Using information-theoretic measures of phonotactic complexity and morphological irregularity (Pimentel et al., 2020; Wu et al., 2019) on 25 languages from UniMorph, we find that there is evidence of a positive relationship between morphological irregularity and phonotactic complexity within languages on average, although the direction varies within individual languages. We also find weak evidence of a negative relationship between word length and morphological irregularity that had not been previously identified, and that some existing findings about the relationships between these four variables are not as robust as previously thought.