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“Sentence Processing” is a category for books that examine how sentences are understood and produced in real time by humans and, increasingly, by machines. Works in this area draw on psycholinguistics, linguistics, cognitive neuroscience, and computational modeling to explore how syntax, semantics, prosody, and context interact during parsing; how ambiguity is resolved; and how memory, attention, and prediction shape comprehension. Typical topics include garden-path effects, attachment preferences, incremental interpretation, cross-linguistic variation, development and disorders, and comparisons between human processing and AI parsing systems. Methods often covered include eye-tracking, reaction-time studies, EEG/ERP and fMRI, corpus analyses, and algorithmic parsing. The category includes textbooks, handbooks, research monographs, and edited volumes for students, researchers, and practitioners interested in the mechanisms, models, and applications of sentence-level language processing.

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