… 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 …

… the fields of sign language recognition, seq2seq learning and neural machine translation.
In Section 3 we formalize the SLT task in the framework of neural machine translation and …

… 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 …

… the translation methods over multiple sign languages—German (GSL), American (ASL),
and Chinese sign languages … tasks can be classified under image classification or gesture/action …

… 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 …

… 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: …

… gual sign language translation (MSLT) task. It aims to use a single model to complete the
translation between multiple sign languages … images and data distribution data for different sign …

… 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 …

… 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 …

… , 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-…