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Featured researches published by Hannah Little.


Frontiers in Psychology | 2018

Iconicity in signed and spoken vocabulary: A comparison between American Sign Language, British Sign Language, English, and Spanish

Marcus Perlman; Hannah Little; Bill Thompson; Robin L. Thompson

Considerable evidence now shows that all languages, signed and spoken, exhibit a significant amount of iconicity. We examined how the visual-gestural modality of signed languages facilitates iconicity for different kinds of lexical meanings compared to the auditory-vocal modality of spoken languages. We used iconicity ratings of hundreds of signs and words to compare iconicity across the vocabularies of two signed languages – American Sign Language and British Sign Language, and two spoken languages – English and Spanish. We examined (1) the correlation in iconicity ratings between the languages; (2) the relationship between iconicity and an array of semantic variables (ratings of concreteness, sensory experience, imageability, perceptual strength of vision, audition, touch, smell and taste); (3) how iconicity varies between broad lexical classes (nouns, verbs, adjectives, grammatical words and adverbs); and (4) between more specific semantic categories (e.g., manual actions, clothes, colors). The results show several notable patterns that characterize how iconicity is spread across the four vocabularies. There were significant correlations in the iconicity ratings between the four languages, including English with ASL, BSL, and Spanish. The highest correlation was between ASL and BSL, suggesting iconicity may be more transparent in signs than words. In each language, iconicity was distributed according to the semantic variables in ways that reflect the semiotic affordances of the modality (e.g., more concrete meanings more iconic in signs, not words; more auditory meanings more iconic in words, not signs; more tactile meanings more iconic in both signs and words). Analysis of the 220 meanings with ratings in all four languages further showed characteristic patterns of iconicity across broad and specific semantic domains, including those that distinguished between signed and spoken languages (e.g., verbs more iconic in ASL, BSL, and English, but not Spanish; manual actions especially iconic in ASL and BSL; adjectives more iconic in English and Spanish; color words especially low in iconicity in ASL and BSL). These findings provide the first quantitative account of how iconicity is spread across the lexicons of signed languages in comparison to spoken languages.


Behavior Research Methods | 2017

Using leap motion to investigate the emergence of structure in speech and language

Kerem Eryılmaz; Hannah Little


Cognitive Science | 2015

Linguistic Modality Affects the Creation of Structure and Iconicity in Signals.

Hannah Little; Kerem Eryılmaz; Bart de Boer


EVOLANG 10 | 2014

THE EFFECT OF SIZE OF ARTICULATION SPACE ON THE EMERGENCE OF COMBINATORIAL STRUCTURE

Hannah Little; Bart de Boer


Cognition | 2017

Signal dimensionality and the emergence of combinatorial structure

Hannah Little; Kerem Eryılmaz; Bart de Boer


11th International Conference on the Evolution of Language (EvoLang XI) | 2016

Differing signal-meaning dimensionalities facilitates the emergence of structure

Hannah Little; Kerem Eryılmaz; Bart de Boer


Interaction Studies | 2017

Empirical approaches for investigating the origins of structure in speech

Hannah Little; Heikki Rasilo; Sabine van der Ham; Kerem Eryılmaz


11th International Conference on the Evolution of Language (EvoLang XI) | 2016

Emergence of signal structure: Effects of duration constraints

Hannah Little; Kerem Eryılmaz; Bart de Boer


conference cognitive science | 2017

Repeated interactions can lead to more iconic signals

Hannah Little; Marcus Perlman; Kerem Eryılmaz


Archive | 2017

Special Issue on the Emergence of Sound Systems

Hannah Little

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Kerem Eryılmaz

Vrije Universiteit Brussel

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Bart de Boer

Vrije Universiteit Brussel

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Marcus Perlman

University of Wisconsin-Madison

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Heikki Rasilo

Helsinki University of Technology

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