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Revisiting gradability in American Sign Language (ASL)

Authors: Elena Koulidobrova; Gabriel Martínez Vera; Kim Kurz; Christopher Kurz;

Revisiting gradability in American Sign Language (ASL)

Abstract

This paper addresses gradability in American Sign Language (ASL). The literature has argued that languages may or may not introduce degree variables, i.e., there is cross-linguistic variation as to whether languages should be analyzed as degree- or degreeless. For ASL, the degree-based analysis has been assumed or explicitly proposed. For example, due to the visual nature of ASL (as a language that uses the physical signing space), it has been suggested that it may be able to readily represent scales iconically in the signing space. In contrast, we argue that ASL is a degreeless language, which further means that its modality does not necessarily readily translate into the iconic representation of scales in the signing space. Our discussion is based on a comprehensive examination of 31 adjectives across different constructions (e.g., different comparison strategies, questions targeting degrees, crisp judgments, etc.). We offer evidence from elicitation data from 6 consultants with different profiles.

Country
United Kingdom
Keywords

gradability, comparatives, Language. Linguistic theory. Comparative grammar, P101-410, adjectives, degree constructions, ASL

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold