A Statistical Comparison of Some Theories of NP Word Order

09/08/2017
by   Richard Futrell, et al.
0

A frequent object of study in linguistic typology is the order of elements demonstrative, adjective, numeral, noun in the noun phrase. The goal is to predict the relative frequencies of these orders across languages. Here we use Poisson regression to statistically compare some prominent accounts of this variation. We compare feature systems derived from Cinque (2005) to feature systems given in Cysouw (2010) and Dryer (in prep). In this setting, we do not find clear reasons to prefer the model of Cinque (2005) or Dryer (in prep), but we find both of these models have substantially better fit to the typological data than the model from Cysouw (2010).

READ FULL TEXT

page 13

page 14

page 17

page 18

research
06/10/2018

A Least Squares Estimation of a Hybrid log-Poisson Regression and its Goodness of Fit for Optimal Loss Reserves in Insurance

In this article, the parameters of a hybrid log-linear model (log-Poisso...
research
06/05/2022

Stylistic Fingerprints, POS-tags and Inflected Languages: A Case Study in Polish

In stylometric investigations, frequencies of the most frequent words (M...
research
06/06/2023

A Cross-Linguistic Pressure for Uniform Information Density in Word Order

While natural languages differ widely in both canonical word order and w...
research
07/07/2020

Parsimony in Model Selection: Tools for Assessing Fit Propensity

Theories can be represented as statistical models for empirical testing....
research
11/02/2022

Boosting word frequencies in authorship attribution

In this paper, I introduce a simple method of computing relative word fr...
research
06/09/2020

Re-evaluating phoneme frequencies

Causal processes can give rise to distinctive distributions in the lingu...
research
04/21/2010

Modelling Immunological Memory

Accurate immunological models offer the possibility of performing highth...

Please sign up or login with your details

Forgot password? Click here to reset