Results 111 to 120 of about 5,776,197 (400)
Grammaticalization in sign languages
AbstractThis article considers the factors and processes associated with grammaticalisation in sign languages. It provides commentaries on the methodological challenges diachronic sign language research is faced with and describes selected grammaticalisation phenomena that we take to be modality-independent.
Pfau, R., Steinbach, M.
openaire +4 more sources
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani+14 more
wiley +1 more source
Continuous Sign Language Recognition System using Deep Learning with MediaPipe Holistic [PDF]
Sign languages are the language of hearing-impaired people who use visuals like the hand, facial, and body movements for communication. There are different signs and gestures representing alphabets, words, and phrases. Nowadays approximately 300 sign languages are being practiced worldwide such as American Sign Language (ASL), Chinese Sign Language ...
arxiv +1 more source
Considerable evidence now shows that all languages, signed and spoken, exhibit a significant amount of iconicity. We examined how the visual-gestural modality of signed languages facilitates iconicity for different kinds of lexical meanings compared to ...
Marcus Perlman+3 more
doaj +1 more source
Language Use in Deaf Children With Early-Signing Versus Late-Signing Deaf Parents
Previous research has shown that spatial language is sensitive to the effects of delayed language exposure. Locative encodings of late-signing deaf adults varied from those of early-signing deaf adults in the preferred types of linguistic forms.
Beyza Sümer+2 more
doaj +1 more source
Improving Continuous Sign Language Recognition with Cross-Lingual Signs [PDF]
This work dedicates to continuous sign language recognition (CSLR), which is a weakly supervised task dealing with the recognition of continuous signs from videos, without any prior knowledge about the temporal boundaries between consecutive signs. Data scarcity heavily impedes the progress of CSLR.
arxiv
American Sign Language Interpreters and their Influence on the Hearing World [PDF]
This honors thesis is going to discuss the hearing community’s perception of American Sign Language and by association the hearing community’s perception of the Deaf community.
Groat, Madison
core +1 more source
Word separation in continuous sign language using isolated signs and post-processing [PDF]
. Continuous Sign Language Recognition (CSLR) is a long challenging task in Computer Vision due to the difficulties in detecting the explicit boundaries between the words in a sign sentence. To deal with this challenge, we propose a two-stage model. In the first stage, the predictor model, which includes a combination of CNN, SVD, and LSTM, is trained ...
arxiv
ISLTranslate: Dataset for Translating Indian Sign Language [PDF]
Sign languages are the primary means of communication for many hard-of-hearing people worldwide. Recently, to bridge the communication gap between the hard-of-hearing community and the rest of the population, several sign language translation datasets have been proposed to enable the development of statistical sign language translation systems. However,
arxiv
Voice Off: American Sign Language at RWU [PDF]
RWU’s sign language courses helps students learn unique skills and communication method in courses where words are rarely ...
Siliezar, Juan
core +1 more source