Muhammad Asim Mahmood
Papers
1
Total Citations
5
H-Index
1
About
Dr. Muhammad Asim Mahmood is a leading figure in computational linguistics and corpus-based language analysis, with a specialized focus on the Punjabi Shahmukhi script. His foundational work centers on the systematic development of lexical-semantic resources for under-resourced languages, particularly through the construction of semantic networks essential for natural language processing. In his most cited study, "Analysis of Lecxico-Semantic Relations of Punjabi Shahmukhi Nouns: A Corpus Based Study" (2019, 5 citations), Mahmood pioneers the identification and classification of semantic relations among nouns, establishing a critical framework for building a Punjabi Shahmukhi WordNet. This contribution is vital for advancing machine translation, information retrieval, and linguistic research in Punjabi. By addressing the scarcity of structured lexical data, his research directly supports the digital preservation and computational accessibility of regional languages. Mahmood’s work stands as a cornerstone for scholars and developers aiming to bridge the gap between minority languages and modern language technologies, demonstrating profound impact despite the niche scope of his field.
Research Focus
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Top Papers
- 1