{"ID":2880510,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.15836","arxiv_id":"2508.15836","title":"MorphNAS: Differentiable Architecture Search for Morphologically-Aware Multilingual NER","abstract":"Morphologically complex languages, particularly multiscript Indian languages, present significant challenges for Natural Language Processing (NLP). This work introduces MorphNAS, a novel differentiable neural architecture search framework designed to address these challenges. MorphNAS enhances Differentiable Architecture Search (DARTS) by incorporating linguistic meta-features such as script type and morphological complexity to optimize neural architectures for Named Entity Recognition (NER). It automatically identifies optimal micro-architectural elements tailored to language-specific morphology. By automating this search, MorphNAS aims to maximize the proficiency of multilingual NLP models, leading to improved comprehension and processing of these complex languages.","short_abstract":"Morphologically complex languages, particularly multiscript Indian languages, present significant challenges for Natural Language Processing (NLP). This work introduces MorphNAS, a novel differentiable neural architecture search framework designed to address these challenges. MorphNAS enhances Differentiable Architectu...","url_abs":"https://arxiv.org/abs/2508.15836","url_pdf":"https://arxiv.org/pdf/2508.15836v1","authors":"[\"Prathamesh Devadiga\",\"Omkaar Jayadev Shetty\",\"Hiya Nachnani\",\"Prema R\"]","published":"2025-08-19T04:48:51Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"cs.AI\",\"cs.LG\"]","methods":"[]","has_code":false}