Sign language structure: an outline of the visual communication systems of the American deaf. 1960.
By W. Stokoe. 1961
Subfields: Linguistics
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Citations in the corpus
- Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective (2019, background): “The seminal linguistic analysis of a sign language (ASL) revealed that each sign has three main phonological features: handshape, location on the body, and movement [106].”
- How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language (2020, background): “Sign languages are visual languages that use two types of features to convey information: manual that includes handshape, palm orientation, movement and location and; non-manual markers that are movement of the head (nod/shake/tilt), mouth (mouthing), eyebrows, cheeks, facial grammar (or facial expr”
- World Federation of the Deaf (2014, background): “ Stokoe, W. (1960). Sign Language Structure: An outline of the visual communication systems of the American Deaf.”
- Depth-Based Hand Pose Estimation: Methods, Data, and Challenges (2015, unknown): “Our qualitative analysis is consistent with empirical studies of human grasp [1] and gesture [35] which also suggest that 50mm is sufficient to capture difference in gesture or grasp.”
- The co-evolution of intersubjectivity and bodily mimesis (2008, background): “The “ape language” literature contains rather convincing evidence that apes can: comprehend the referential (representational) function of spoken words, ASL signs and visual lexigrams, and combinations of these; use the sign-tokens in the absence of their referents, i.e. “displacement” (Hockett 19”
- Source Language Categorization for improving a Speech into Sign Language Translation System (2011, background): “W. Stokoe (Stokoe, 1960) supports the idea that sign languages have four dimensions (three space dimensions plus time), and spoken languages have only one dimension, time, so it cannot say that sign languages are a simplification of any other language.”
- American sign language recognition with the kinect (2011, methodology): “use a two-tiered approach which classifies the TAB-SIG-DEZ features from Stokoe’s phonology [21] and passes the results to a Markov chain.”
- Multi-layered gesture recognition with Kinect (2015, background): “Although from the point of view of gesture linguistics, the basic components and how gestures convey meaning are given (Stokoe, 1960), there is no reference to the importance and complementarity of the components in gesture communication.”