Challenges in development of the American Sign Language Lexicon Video Dataset (ASLLVD) corpus [PDF]
The American Sign Language Lexicon Video Dataset (ASLLVD) consists of videos of >3,300 ASL signs in citation form, each produced by 1-6 native ASL signers, for a total of almost 9,800 tokens.
Neidle, Carol +2 more
core
A Cross-Linguistic Preference For Torso Stability In The Lexicon: Evidence From 24 Sign Languages [PDF]
When the arms move in certain ways, they can cause the torso to twist or rock. Such extraneous torso movement is undesirable, especially during sign language communication, when torso position may carry linguistic significance, so we expend effort to ...
Napoli, Donna Jo, Sanders, N.
core +1 more source
Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey [PDF]
Recognizing sign language is one of the most challenging tasks of our time. Researchers in this field have focused on different types of signaling applications to get to know typically, the goal of sign language recognition is to classify sign language ...
Hussein Zahraa A. +2 more
doaj +1 more source
Linguistically-driven framework for computationally efficient and scalable sign recognition [PDF]
We introduce a new general framework for sign recognition from monocular video using limited quantities of annotated data. The novelty of the hybrid framework we describe here is that we exploit state-of-the art learning methods while also incorporating ...
Dilsizian, Mark +2 more
core
Early exposure to both sign and spoken language for children who are deaf or hard of hearing: Might it help spoken language development? [PDF]
The literature on the benefits and deficits of bilingualism is reviewed with an emphasis on sign/spoken bilingualism and on the population of deaf or hard of hearing children.
Farber, Stephanie
core +1 more source
American Sign Language Interpreting for Deaf Individuals with Disabilities [PDF]
Undergraduate Theoretical ...
Mason, Emily, Weaver, Genevieve
core +1 more source
Building a sign language corpus for use in machine translation [PDF]
In recent years data-driven methods of machine translation (MT) have overtaken rule-based approaches as the predominant means of automatically translating between languages.
Dandapat, Sandipan +4 more
core +1 more source
Beating the Air. Phenomenological remarks on the semiotics of conducting. [PDF]
The subject of the article is conducting as typically known from the classical symphonic practice. The question to be discussed is: In what respect is the conductor’s beat properly to be understood as ”signing” within the frames of a sign language, and ...
Kühl, Carl Erik
core
Scalable ASL sign recognition using model-based machine learning and linguistically annotated corpora [PDF]
We report on the high success rates of our new, scalable, computational approach for sign recognition from monocular video, exploiting linguistically annotated ASL datasets with multiple signers.
Dilsizian, Mark +2 more
core
Facial Feature Tracking and Occlusion Recovery in American Sign Language [PDF]
Facial features play an important role in expressing grammatical information in signed languages, including American Sign Language(ASL). Gestures such as raising or furrowing the eyebrows are key indicators of constructions such as yes-no questions ...
Castelli, Thomas J. +2 more
core

