Results 81 to 90 of about 5,776,197 (400)
Including Signed Languages in Natural Language Processing [PDF]
arXiv, 2021 Signed languages are the primary means of communication for many deaf and hard of hearing individuals. Since signed languages exhibit all the fundamental linguistic properties of natural language, we believe that tools and theories of Natural Language Processing (NLP) are crucial towards its modeling.
arxiv
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2019 Vision-based sign language recognition aims at helping the deaf people to communicate with others. However, most existing sign language datasets are limited to a small number of words.
Dongxu Li +3 more
semanticscholar +1 more source
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning [PDF]
arXiv, 2023 This work focuses on sign language retrieval-a recently proposed task for sign language understanding. Sign language retrieval consists of two sub-tasks: text-to-sign-video (T2V) retrieval and sign-video-to-text (V2T) retrieval. Different from traditional video-text retrieval, sign language videos, not only contain visual signals but also carry ...
arxiv
Linguistik Online, 2022 The present paper discusses necessary adaptations in research methodology to include Deaf Sign Language users in a survey on Sign Language interpreting.
Laura Marie Maaß
doaj +1 more source
A two-way translation system of Chinese sign language based on computer vision [PDF]
arXiv, 2023 As the main means of communication for deaf people, sign language has a special grammatical order, so it is meaningful and valuable to develop a real-time translation system for sign language. In the research process, we added a TSM module to the lightweight neural network model for the large Chinese continuous sign language dataset .
arxiv
LinguisticsCorpus methods are now established within the field of signed language linguistics. Empirical investigations of signed language corpora have challenged many early assumptions about the nature of deaf community signed languages, while making us more aware
Puupponen Anna +7 more
doaj +1 more source
The Vulnerability of Emerging Sign Languages: (E)merging Sign Languages?
Languages, 2022 Emerging sign languages offer linguists an opportunity to observe language emergence in real time, far beyond the capabilities of spoken language studies.
Marah Jaraisy, Rose Stamp
doaj +1 more source
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network
Italian National Conference on Sensors, 2021 Continuous sign language recognition is a weakly supervised task dealing with the identification of continuous sign gestures from video sequences, without any prior knowledge about the temporal boundaries between consecutive signs.
Ilias Papastratis +2 more
semanticscholar +1 more source
Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Molecular Oncology, EarlyView.Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha +6 more
wiley +1 more source
Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting [PDF]
arXiv, 2022 This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writing system. Our work seeks to address the lack of out-of-the-box support for signed languages in current MT systems and is based on the SignBank dataset, which contains pairs ...
arxiv