Humans did not evolve from bats

Linguistic differences and language design

A small number of discrete choices ('parameters') embedded within a system of otherwise universal principles create the extensive superficial differences between unrelated languages like English, Japanese, and Mohawk. Most current thinking about the evolution of language ignores or denies the existence of these parameters because it can see no rationale for them. That the human language faculty is organized in this way makes more sense if language is compared to a cipher or code. As such, it would have a purpose of concealing information from some at the same time as it communicates information to others.

On the relevance of locus equations for production and perception of stop consonants

We examined the possible relevance of locus equations to human production and perception of stop consonants. The orderly output constraint (OOC) of Sussman, Fruchter, and Cable (1995) claims that humans have evolved to produce speech such that F2 at consonant release and F2 at vowel midpoint are linearly related for consonants so that developing perceptual systems can form representations in an F2ons-by-F2vowel space. The theory claims that this relationship described by locus equations can distinguish consonants, and that the linearity of locus equations is captured in neural representations and is thus perceptually relevant. We investigated these claims by testing how closely locus equations reflect the production and perception of stop consonants. In Experiment 1, we induced speakers to change their locus equation slope and intercept parameters systematically, but found that consonants remained distinctive in slope-by-intercept space. In Experiment 2, we presented stop-consonant syllables with their bursts removed to listeners, and compared their classification error matrices with the predictions of a model using locus equation prototypes and with those of an exemplar-based model that uses F2ons and F2vowel, but not locus equations. Both models failed to account for a large proportion of the variance in listeners' responses; the locus equation model was no better in its predictions than the exemplar model. These findings are discussed in the context of the OOC.