Linguistic modelling and language-processing technologies for Avatar-based sign language presentation
Sign languages are the native languages for many pre-lingually deaf people and must be treated as genuine natural languages worthy of academic study in their own right. For such pre-lingually deaf, whose familiarity with their local spoken language is ...
Sign language applications: preliminary modeling
For deaf persons to have ready access to information and communication technologies (ICTs), the latter must be usable in sign language (SL), i.e., include interlanguage interfaces. Such applications will be accepted by deaf users if they are reliable ...
Recent developments in visual sign language recognition
Research in the field of sign language recognition has made significant advances in recent years. The present achievements provide the basis for future applications with the objective of supporting the integration of deaf people into the hearing ...
Universal access to communication and learning: the role of automatic speech recognition
This communication discusses how automatic speech recognition (ASR) can support universal access to communication and learning through the cost-effective production of text synchronised with speech and describes achievements and planned developments of ...
A knowledge-based sign synthesis architecture
This paper presents the modules that comprise a knowledge-based sign synthesis architecture for Greek sign language (GSL). Such systems combine natural language (NL) knowledge, machine translation (MT) techniques and avatar technology in order to allow ...
Generating American Sign Language animation: overcoming misconceptions and technical challenges
Misconceptions about the English literacy rates of deaf Americans, the linguistic structure of American Sign Language (ASL), and the suitability of traditional machine translation (MT) technology to ASL have slowed the development of English-to-ASL MT ...
Facial movement analysis in ASL
In the age of speech and voice recognition technologies, sign language recognition is an essential part of ensuring equal access for deaf people. To date, sign language recognition research has mostly ignored facial expressions that arise as part of a ...