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Statistical modeling of language universals

2011

Abstract
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AI

This research explores diachronic universals in language change. It critiques existing methods, particularly those by Dunn et al. (2011), for inadequately factoring in competing influences, such as areal histories. The paper proposes alternative methods that consider universal, areal, and other relevant factors in language evolution, and presents a case study to illustrate these approaches.

Key takeaways

  • A particularly interesting type of universal is diachronic in nature: principled preferences that affect how languages change over time.
  • Horizontal transmission, i.e., areal diffusion, is not only subject to spread factors but also to match factors: structures that are easier to process for example can be expected to spread in contact more easily than more difficult structures.
  • We first estimate biases in large families (say, with at least five members) and then use this information to estimate the biases that are likely to have been behind the attested structures in small families: if, say, 60 % of large families are biased towards some specific structure (e.g., biased towards OV order, or towards VO order) rather than balanced between structures (i.e., with about as many OV as VO daughters), we estimate a .6 probability that the members of small families come from larger unknown families with a bias as well (in whatever direction), as opposed to families without any bias.
  • When families are split between VP orders or areas, I search for the lowest taxon that is not split by these factors and determine family biases within the resulting taxa.
  • The case study presented here shows that areal histories have a significant impact on the type of family biases in NP orders as well as on the degree of these family biases.