Henna Abdul Azeez
Data Scientist, Qartelz India Private Limited
S Deepanjali
Information Technology, SRM University, Chennai
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http://doi.org/10.37648/ijrst.v13i04.006
A communication clutter that interferes in a child’s throughout performance is labeled as Speech-Language disorder which makes it arduous for a standard conversation. Speech impairment and language impairment are the two types of childhood assimilation classified. Speech impairment is a constraint in which the excellence in producing speech sounds is undermined. The predicament in catching others' replique montre de luxe ideas, thoughts and feelings is relegated as Receptive Language Impairment and the distress in expressing one’s own idea is delineated as Expressive Language Impairment. The above two of these impediments are congregated together and entitled as Language Impairment. The cardinal challenging hurdle for the kids with impairment is their inadequacy in social interaction. As an outcome, there is a pivotal prerequisite to establish NLP applications which support the disabled children by tracking the impediment at a prior phase. The errand of this article is to give a therapy for the kids who suffer from both language and speech impairment using NLP techniques. An algorithm, which automatically analyzes the child’s intensity of impairment based on their age group by considering various semantic and structural attributes into account is designed. . The model also classifies the type of disorder and the intensity of the impairment afflicted and thereby providing a specific and systematic training to the children to overcome their ailment.
Keywords: speech impairment; expressive language impairment; receptive language impairment; therapy; artificial intelligence; natural language processing
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