AMLaP 2025: Architectures and Mechanisms for Language Processing

AMLaP 2025, Architectures and Mechanisms for Language Processing, is a highly interdisciplinary conference that sits at the intersection of cognitive science, linguistics, and computational modeling. Its central question is how the human mind and brain process language in real time — covering sentence comprehension, language production, reading, bilingualism, and language acquisition — with a strong emphasis on linking behavioral and neuroimaging data to formal computational models.

The conference attracts psycholinguists, cognitive neuroscientists, and computational linguists who share the conviction that understanding language processing requires both empirical rigor and explicit mechanistic theories. Neural network models of language are increasingly prominent in the program, creating productive tension between data-driven and cognitively motivated approaches. Graduate students and senior researchers alike find AMLaP an intellectually stimulating venue for work that refuses to stay within disciplinary boundaries.

language processing psycholinguistics computational linguistics sentence comprehension language acquisition neural models of language reading bilingualism