Transcription of child sign language
نویسندگان
چکیده
منابع مشابه
A graphical environment for transcription of american sign language
A system to interactively create and modify/edit American Sign Language signs is described. The system is grounded on the use of three-dimensional computer graphics to construct the signs. Usability tests have been conducted to obtain early feedback on the user experience with the system. The final goal is to build a personal digital translator for the deaf. Since ASL is a visual language, it i...
متن کاملSign Language Phoneme Transcription with Rule-based Hand Trajectory Segmentation
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on distance measures usually do not work well on temporal data and require complex algorithms. In this paper, we present a simple and effective approach to extract phonemes from American sign language sentences. We first ap...
متن کاملChild Modifiability as a Predictor of Language Abilities in Deaf Children Who Use American Sign Language.
PURPOSE This research explored the use of dynamic assessment (DA) for language-learning abilities in signing deaf children from deaf and hearing families. METHOD Thirty-seven deaf children, aged 6 to 11 years, were identified as either stronger (n = 26) or weaker (n = 11) language learners according to teacher or speech-language pathologist report. All children received 2 scripted, mediated l...
متن کاملAnimated Sign Synthesis of Indian Sign Language
Sign language is a root level communication language for deaf people or those who are hearing impaired, so they found difficulty to communicate with the outer world. Hearing impaired people also had less reading skills, than the average educated person [5] so they cannot understand or gain information from outer world such as from Banks, Railways, and many more sector, they lack basic communica...
متن کاملSign language perception research for improving automatic sign language recognition
Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can give an indication which elements or phases of a sign are important for its meaning. Also, the current generation of data-driven ASLR methods has shortcomings which may not be solvable without the use of knowledge on hum...
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ژورنال
عنوان ژورنال: Sign Language & Linguistics
سال: 2005
ISSN: 1387-9316,1569-996X
DOI: 10.1075/sll.8.1.06mor