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Word Construction Through Sign Concatenation Based on Deep Learning

EasyChair Preprint no. 10780

11 pagesDate: August 27, 2023


Many deaf-mute people suffer from hearing loss, which gives us problems communicating between them and other normal mute people, especially for those who don't understand sign language, which is the language used by deaf-mute people to express their emotions and opinions, as well as to transfer an idea to others. So we're going to try and find a solution to ensure communication between these two categories of people, in the following form: a tool capable of transcribing American Sign Language (ASL) into natural language by concatenating these signs to construct a word, with the application of various deep learning techniques.

Keyphrases: ASL, communication, Concatenation, Deaf-mute, deep learning, hearing loss, natural language, sign language, transcription

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Cherrate Meryem and Sabri My.Abdelouahed and Yahyaouy Ali and Aarab Abdellah},
  title = {Word Construction Through Sign Concatenation Based on Deep Learning},
  howpublished = {EasyChair Preprint no. 10780},

  year = {EasyChair, 2023}}
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