… the fields of sign language recognition, seq2seq learning and neural machine translation.
In … Vision tasks, such as image captioning [61], lip reading [13] and action recognition [19]. …

… sign language translation challenges by (i) exploring different visual features that can be
extracted from signing videos, (ii) performing neural machine translation … classified under image …

… Overall, this paper proposed a framework to develop sign language translator on portable
platform that may lead to a practical solution in helping the verbally-disabled to overcome the …

… We have created dataset containing thousands of images of each category and converted
the images into a CSV file so as to get speed and accuracy in training the system. For rare …

… our translation networks with sign language understanding and to achieve CSLR, we introduce
a Sign … [9], and propagate each image through CNNs. We formulate these operations as: …

… learning baseline for sign language translation. Existing sign language datasets (eg
PHOENIX-… tasks such as image caption and VQA also leverage pretrained language models as …

… In order to solve the problem of RGB sign language image or video recognition in practical
problems, this paper combines hand locating network, 3D CNN feature extraction network …

… , and neural network based image/video generation. The proposed method is capable of
generating a Sign Language video, given a written or spoken language sentence. An encoder-…

… DEVICE for automatic translation of Indian sign language into … as a translator for people that
do not understand sign language, … The sign language gesture images are acquired using the …

… Since sign language is a visual-based language, this study focuses on the two … in image
recognition, with the aim of determining the optimal algorithm than can be used to translate TSL. …