Cross-Linguistic Variation and Efficiency

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How researchers see this paper

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Linguistic diversity and language evolution (2016, background): “Traditionally, explanations of statistical universals are sought in terms of processing machinery preferences (Hawkins 2014) or functional pressures related to communication (Haspelmath 2008).”
Investigating locality effects and surprisal in written English syntactic choice phenomena. (2016, unknown): “However, a lot of the preferences visible in production data, such as mirror-image weight effects across different (VO and OV) languages, are not actually predicted by current production models (Hawkins 2014).”
The effects of sentence length on dependency distance, dependency direction and the implications–Based on a parallel English–Chinese dependency treebank (2015, methodology): “The distinctive research method and the interpretation perspective will open up new possibilities for quantitative text analysis, and “advance the research of cross-linguistic complexity and efficiency” (Hawkins, 2014).”
Neural signatures of syntactic variation in speech planning (2021, result): “This view is consistent with proposals that processing differences related to working memory engagement are key constraints of language evolution [20,21,97,98], to the extent that these differences stem from comprehension.”