Speaker input variability does not explain why larger populations have simpler languages

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Abstract

A learner's linguistic input is more variable if it comes from a greater number of speakers. Higher speaker input variability has been shown to facilitate the acquisition of phonemic boundaries, since data drawn from multiple speakers provides more information about the distribution of phonemes in a speech community. It has also been proposed that speaker input variability may have a systematic influence on individual-level learning of morphology, which can in turn influence the group-level characteristics of a language. Languages spoken by larger groups of people have less complex morphology than those spoken in smaller communities. While a mechanism by which the number of speakers could have such an effect is yet to be convincingly identified, differences in speaker input variability, which is thought to be larger in larger groups, may provide an explanation. By hindering the acquisition, and hence faithful cross-generational transfer, of complex morphology, higher speaker input variability may result in structural simplification. We assess this claim in two experiments which investigate the effect of such variability on language learning, considering its influence on a learner's ability to segment a continuous speech stream and acquire a morphologically complex miniature language. We ultimately find no evidence to support the proposal that speaker input variability influences language learning and so cannot support the hypothesis that it explains how population size determines the structural properties of language.

Figures

  • Fig 1. Example training regimes for participants in the single andmultiple speaker conditions.
  • Fig 2. Average scores for each condition in both familiar speaker and novel speaker testing blocks.
  • Fig 3. Complete target language with corresponding images.
  • Table 1. Articulatory feature values for vowels.
  • Table 2. Articulatory feature values for consonants.
  • Fig 4. Accuracy of participant productions of target stems.Main graph shows the production scores of the complete target language (the entire set of 12 items). The insert illustrates the minimal difference between the average scores (over all rounds) for the trained and novel items. Error bars represent 95% confidence intervals of the mean.
  • Fig 5. Acquisition of the suffixes.Mean scores by condition are shown for each of the 3 measures, both for the entire target language set (left), and split by training and novel image labels. Error bars show 95% confidence intervals of the mean.

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CITATION STYLE

APA

Atkinson, M., Kirby, S., & Smith, K. (2015). Speaker input variability does not explain why larger populations have simpler languages. PLoS ONE, 10(6). https://doi.org/10.1371/journal.pone.0129463

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