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Evolutionary Linguistic Theory - Online First
Online First articles are the published Version of Record, made available as soon as they are finalized and formatted. They are in general accessible to current subscribers, until they have been included in an issue, which is accessible to subscribers to the relevant volume
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Sequence as output, not limitation : Comparative evidence for niche-driven language evolution
Author(s): Edward Ruoyang ShiAvailable online: 07 May 2026show More to view fulltext, buy and share links for: show Less to hide fulltext, buy and share links for:AbstractThis paper challenges the “sequence bottleneck” hypothesis, which claims that limitations in sequence memory constrain animal cognition and that human language emerged by overcoming this universal limit. Drawing on comparative neuroscience, behavioral ecology, and language evolution research, we argue that long, linear sequences in human language are not the generative core of linguistic capacity but a niche-specific output format. Across taxa, the hippocampal system — and its analogues — supports the generation of hierarchical, multimodal event structures that are flexibly adapted to each species’ ecological demands. Human language arose when these ancient hierarchical generators were co-opted into a multimodal communicative system shaped by the “linguistic niche,” where pressures for precise, rapid, and cumulative transmission favored the linearization of complex conceptual structures. We highlight three core critiques of the bottleneck view: (i) hippocampal sequence generation is evolutionarily widespread and hierarchically organized, not inherently limited in length; (ii) laboratory sequence tasks often lack ecological validity, underestimating non-human capacities; and (iii) many species achieve sophisticated communication through non-linear, multimodal formats. We propose an integrative neuroecological model in which sequence form is contingent on niche-specific adaptive pressures, reframing cross-species comparisons around the diversity of representational formats rather than deficits in linear output. This approach replaces a deficit-oriented metric with a framework that recognizes both the deep continuity of neural mechanisms and the adaptive divergence of communicative solutions across species.
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Neg-words : What they are and what they are not and what follows from this
Author(s): Helmut WeißAvailable online: 21 August 2025show More to view fulltext, buy and share links for: show Less to hide fulltext, buy and share links for:AbstractThis paper is concerned with neg-words that are usually defined by their occurrence in NC constructions. The common definition of neg-words has several weaknesses: for example, it does not allow to define NC in a non-circular way or it cannot explain why DN is possible in many NC languages. Therefore, an alternative definition is proposed in this paper: Neg-words are indefinite pronouns (or adverbs) that contain a negative morpheme, or indefinite pronouns (or adverbs) that have replaced such an indefinite pronoun (or adverb). Defining neg-words in this way has several advantages: it allows a non-circular and precise definition of NC, it can also explain why DN is also possible in NC languages (therefore, the term negative quantifier can be dispensed with), and it allows an alternative typological classification of NC and non-NC languages to the usual one in which NC and DN languages are contrasted. According to the view expressed here, non-NC languages are languages without neg-words (as defined here) and they cover a group of languages to which 80% to 90% of all languages belong. In addition, I analyze neg-words as Heimian indefinites with an interpretable neg-feature. This explains the wide range of uses of neg-words from weak indefinites (the default case) to negated existential quantifiers to universal quantifiers that scope over negation.
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On the nature of roots
Author(s): Phoevos Panagiotidis
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Construction grammar for monkeys?
Author(s): Michael Pleyer and Stefan Hartmann
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Grammar change
Author(s): Hubert Haider
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Mixed computation
Author(s): Diego Gabriel Krivochen
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