Natural language input refers to the use of human-generated language, expressed through speech or text, as an input modality for computational systems to process, interpret, or transform into machine-understandable representations [1]. Within natural language processing, natural language input consists of linguistic data that are not constrained to predefined formal grammars or machine-specific command structures but instead reflect the variability, ambiguity, and contextual dependencies of human communication [2]. Processing natural language input involves computational methods that analyze linguistic features, extract meaningful representations, and support tasks such as language understanding, generation, or interaction between humans and computer systems [3]. The concept is distinct from structured input formats, such as database queries or programming languages, which follow explicitly defined syntactic rules designed for direct computational execution [1].
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Natural Language Processing Techniques • Artificial Intelligence • Computer Science • Physical Sciences
References
- Jurafsky, D., & Martin, J. H. 2025. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition with Language Models (3rd ed. draft). Stanford University. https://web.stanford.edu/~jurafsky/slp3/
- Manning, C. D., & Schütze, H. 1999. Foundations of Statistical Natural Language Processing. MIT Press. https://mitpress.mit.edu/9780262133609/foundations-of-statistical-natural-language-processing/
- Bird, S., Klein, E., & Loper, E. 2009. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly Media. https://www.oreilly.com/library/view/natural-language-processing/9780596555719/