Computational lexicography can play a vital role in enhancing accessibility for individuals with language disorders or learning difficulties by leveraging technological ...
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Computational lexicography can play a vital role in enhancing accessibility for individuals with language disorders or learning difficulties by leveraging technological advancements to adapt language resources to their specific needs. One key contribution is the ability to generate simplified and adaptive definitions that match users’ cognitive and linguistic capacities, particularly beneficial for those with dyslexia, aphasia, or developmental language impairments. These definitions can be automatically adjusted for readability, vocabulary complexity, and syntactic structure. Additionally, computational lexicography supports multimodal integration by incorporating audio, visual, and interactive features—such as pictograms, speech synthesis, and videos—that allow users to engage with language through multiple sensory channels. This multimodal approach aids comprehension and retention, especially for users who struggle with written text. Furthermore, personalized language learning tools can be developed using user profiles and natural language processing (NLP) techniques, enabling tailored vocabulary support, real-time feedback, and adaptive scaffolding. Altogether, computational lexicography holds significant potential in making dictionaries and language tools more inclusive, empowering individuals with language-related challenges to access and use language more effectively.
