Word length predicts word order: "Min-max"-ing drives language evolution
Hiram Ring

TL;DR
This paper introduces a universal theory explaining how word order evolves based on the interplay of effort minimization and information maximization, supported by extensive crosslinguistic corpus data.
Contribution
It proposes the Min-Max theory of language behavior as a unifying explanation for word order change, integrating efficiency and surprisal perspectives with empirical corpus evidence.
Findings
Word class length correlates with word order across languages.
Language corpora provide stronger explanations than genealogical or areal factors.
Average word length influences basic word order predictions.
Abstract
A fundamental concern in linguistics has been to understand how languages change, such as in relation to word order. Since the order of words in a sentence (i.e. the relative placement of Subject, Object, and Verb) is readily identifiable in most languages, this has been a productive field of study for decades (see Greenberg 1963; Dryer 2007; Hawkins 2014). However, a language's word order can change over time, with competing explanations for such changes (Carnie and Guilfoyle 2000; Crisma and Longobardi 2009; Martins and Cardoso 2018; Dunn et al. 2011; Jager and Wahle 2021). This paper proposes a general universal explanation for word order change based on a theory of communicative interaction (the Min-Max theory of language behavior) in which agents seek to minimize effort while maximizing information. Such an account unifies opposing findings from language processing (Piantadosi et…
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Taxonomy
TopicsLanguage and cultural evolution · Natural Language Processing Techniques
MethodsTuckER
