The development of language processing support for the ViSiCAST project
Assets '00 Proceedings of the fourth international ACM conference on Assistive technologies
Advanced Man-Machine Interaction: Fundamentals and Implementation (Signals and Communication Technology)
Educational resources and implementation of a Greek sign language synthesis architecture
Computers & Education
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009
Collecting a motion-capture corpus of American Sign Language for data-driven generation research
SLPAT '10 Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies
ACM SIGACCESS Accessibility and Computing
Collecting an american sign language corpus through the participation of native signers
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: applications and services - Volume Part IV
Collecting and evaluating the CUNY ASL corpus for research on American Sign Language animation
Computer Speech and Language
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In the framework of a research target that aims at integration of sign language technologies to human-computer interaction applications, creation and annotation of the Greek Sign Language Corpus (GSLC) involve, on the one hand, data and analysis of the phonological structure of morphemes of Greek Sign Language (GSL) and, on the other hand, collection of sentence level language samples and assignment of their respective annotations. GSLC also entails free sign narrations fully annotated at least for sentence segmentation. Simple and complex sign morpheme formation is directly relevant to development of sign recognition prototypes. In this sense, a sign language corpus intended to support sign recognition by exploitation of a language model has to entail sufficient data from simple- to complex- morpheme level. Sentence level annotation, except for sentence boundaries, focuses on phrase boundary marking and grammar information often conveyed by multi-layer markers, as is the case of e.g. topicalisation, nominal phrase formation, temporal indicators, question formation and sentential negation in GSL.