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- W4386004732 abstract "Currently, communication between students with hearing disabilities and other actors that make up an educational establishment, has a gap despite the existence of technological resources. The objective of the study is to provide a comprehensive vision on machine learning to strengthen the communication of Ecuadorian sign languages within a career. This study presents an investigation how machine learning through the Predicate Learning algorithm can be applied to relate a word introduced in a chat, send the corresponding pictogram in Ecuadorian sign language instead of the word, this way bridges the gap in communication between listeners and people with educational disabilities. The results show that machine learning significantly influences Ecuadorian Sign Language communication." @default.
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- W4386004732 date "2023-01-01" @default.
- W4386004732 modified "2023-10-12" @default.
- W4386004732 title "Machine Learning for the Strengthening of Ecuadorian Sign Language Communication" @default.
- W4386004732 cites W2237258095 @default.
- W4386004732 doi "https://doi.org/10.1007/978-3-031-33261-6_20" @default.
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