Dataset Information

Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases.

ABSTRACT: According to a theoretical tradition dating back to Aristotle, verbs can be classified into two broad categories. Telic verbs (e.g., "decide," "sell," "die") encode a logical endpoint, whereas atelic verbs (e.g., "think," "negotiate," "run") do not, and the denoted event could therefore logically continue indefinitely. Here we show that sign languages encode telicity in a seemingly universal way and moreover that even nonsigners lacking any prior experience with sign language understand these encodings. In experiments 1-5, nonsigning English speakers accurately distinguished between telic (e.g., "decide") and atelic (e.g., "think") signs from (the historically unrelated) Italian Sign Language, Sign Language of the Netherlands, and Turkish Sign Language. These results were not due to participants' inferring that the sign merely imitated the action in question. In experiment 6, we used pseudosigns to show that the presence of a salient visual boundary at the end of a gesture was sufficient to elicit telic interpretations, whereas repeated movement without salient boundaries elicited atelic interpretations. Experiments 7-10 confirmed that these visual cues were used by all of the sign languages studied here. Together, these results suggest that signers and nonsigners share universally accessible notions of telicity as well as universally accessible "mapping biases" between telicity and visual form.

SUBMITTER: Strickland B

PROVIDER: S-EPMC4434776 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

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Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases.

Strickland Brent B Geraci Carlo C Chemla Emmanuel E Schlenker Philippe P Kelepir Meltem M Pfau Roland R

Proceedings of the National Academy of Sciences of the United States of America 20150427 19

According to a theoretical tradition dating back to Aristotle, verbs can be classified into two broad categories. Telic verbs (e.g., "decide," "sell," "die") encode a logical endpoint, whereas atelic verbs (e.g., "think," "negotiate," "run") do not, and the denoted event could therefore logically continue indefinitely. Here we show that sign languages encode telicity in a seemingly universal way and moreover that even nonsigners lacking any prior experience with sign language understand these en ...[more]

PMID: 25918419

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Project description:BackgroundThe Health Information National Trends Survey (HINTS) collects nationally representative data about the American's public use of health-related information. This survey is available in English and Spanish, but not in American Sign Language (ASL). Thus, the exclusion of ASL users from these national health information survey studies has led to a significant gap in knowledge of Internet usage for health information access in this underserved and understudied population.ObjectiveThe objectives of this study are (1) to culturally adapt and linguistically translate the HINTS items to ASL (HINTS-ASL); and (2) to gather information about deaf people's health information seeking behaviors across technology-mediated platforms.MethodsWe modified the standard procedures developed at the US National Center for Health Statistics Cognitive Survey Laboratory to culturally adapt and translate HINTS items to ASL. Cognitive interviews were conducted to assess clarity and delivery of these HINTS-ASL items. Final ASL video items were uploaded to a protected online survey website. The HINTS-ASL online survey has been administered to over 1350 deaf adults (ages 18 to 90 and up) who use ASL. Data collection is ongoing and includes deaf adult signers across the United States.ResultsSome items from HINTS item bank required cultural adaptation for use with deaf people who use accessible services or technology. A separate item bank for deaf-related experiences was created, reflecting deaf-specific technology such as sharing health-related ASL videos through social network sites and using video remote interpreting services in health settings. After data collection is complete, we will conduct a series of analyses on deaf people's health information seeking behaviors across technology-mediated platforms.ConclusionsHINTS-ASL is an accessible health information national trends survey, which includes a culturally appropriate set of items that are relevant to the experiences of deaf people who use ASL. The final HINTS-ASL product will be available for public use upon completion of this study.

Dataset Information

Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases.

Publications

Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases.

Similar Datasets

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