Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource LiST: A Lightweight Framework for Continuous Indian Sign Language Translation Subject The topic of the resource artificial intelligence; humancomputer interface; Inception V3; INCLUDE dataset; Indian Sign Language; LSTM; natural language processing Description An account of the resource Sign language is a natural, structured, and complete form of communication to exchange information. Non-verbal communicators, also referred to as hearing impaired and hard of hearing (HI&amp;HH), consider sign language an elemental mode of communication to convey information. As this language is less familiar among a large percentage of the human population, an automatic sign language translator that can act as an interpreter and remove the language barrier is mandatory. The advent of deep learning has resulted in the availability of several sign language translation (SLT) models. However, SLT models are complex, resulting in increased latency in language translation. Furthermore, SLT models consider only hand gestures for further processing, which might lead to the misinterpretation of ambiguous sign language words. In this paper, we propose a lightweight SLT framework, LiST (Lightweight Sign language Translation), that simultaneously considers multiple modalities, such as hand gestures, facial expressions, and hand orientation, from an Indian sign video. The Inception V3 architecture handles the features associated with different signer modalities, resulting in the generation of a feature map, which is processed by a two-layered (long short-term memory) (LSTM) architecture. This sequence helps in sentence-by-sentence recognition and in the translation of sign language into text and audio. The model was tested with continuous Indian Sign Language (ISL) sentences taken from the INCLUDE dataset. The experimental results show that the LiST framework achieved a high translation accuracy of 91.2% and a prediction accuracy of 95.9% while maintaining a low word-level translation error compared to other existing models. 2023 by the authors. Creator An entity primarily responsible for making the resource K A.; P P.; Poonia R.C. Source A related resource from which the described resource is derived Information (Switzerland), Vol-14, No. 2 Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/info14020079" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/info14020079</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148686683&amp;doi=10.3390%2Finfo14020079&amp;partnerID=40&amp;md5=7cf8f827e002f7927eb6e24309a53e07" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148686683&amp;doi=10.3390%2finfo14020079&amp;partnerID=40&amp;md5=7cf8f827e002f7927eb6e24309a53e07</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20782489 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant K A., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; P P., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Poonia R.C., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India