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This article is a case study in how quantitative-statistical and formal-theoretical (generative) approaches to language variation can be combined. We provide a quantitative analysis of word-order variation in verb clusters in 185 dialects of Dutch and map the results of that analysis against linguistic parameters extracted from the theoretical literature on verb clusters. Based on this novel methodology, we argue that verb cluster ordering in Dutch dialects can be reduced to three grammatical parameters (largely similar to the ones described in Barbiers et al. 2018), and we identify the dialect groups that correspond to the various settings of those parameters. [ABSTRACT FROM AUTHOR]

This discussion note revolves around the early days of generative grammar, that is to say the late 1950s and the 1960s. A number of commentators have claimed that MIT linguists in this period formed an elitist in-group, talking only to each other by means of inaccessible 'underground' publications and thereby erecting a barrier between themselves and the outside world of linguistics. I attempt to refute such claims. We see that the early generativists used every means at their disposal at the time to diffuse their ideas: publishing single-authored books, journal articles, anthology chapters, and technical reports; aiding the writing of textbooks; giving conference talks; teaching at LSA (Linguistic Society of America) Institutes; and hosting numerous visitors to MIT. And in particular, there was no significant 'underground' literature to obstruct the acceptance of the new theory. [ABSTRACT FROM AUTHOR]

Why is it preferable to say "salt and pepper" over "pepper and salt?" Based on an analysis of 692 binomial tokens from online corpora, we show that a number of semantic, metrical, and frequency constraints contribute significantly to ordering preferences, overshadowing the phonological factors that have traditionally been considered important. The ordering of binomials exhibits a considerable amount of variation. For example, although "principal and interest" is the more frequent order, "interest and principal" also occurs. We consider three frameworks for analysis of this variation: traditional optimality theory, stochastic optimality theory, and logistic regression. Our best models—using logistic regression—predict 79.2% of the binomial tokens and 76.7% of types, and the remainder are predicted as less frequent—but not ungrammatical—variants. [ABSTRACT FROM AUTHOR]