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Access chapter resources (audio, visual summaries, key terms, quizzes): 👉 https://www.hubstudyguide.com/chapter... Explore other chapters and subject pathways: 👉 https://www.hubstudyguide.com/chapter... For more structured study resources: 👉 https://www.hubstudyguide.com Find curated essential books in this field: 👉 https://www.hubstudyguide.com/books-b... Access the book right now! 👉 https://amzn.to/4rX3ILw This chapter examines how signed languages are processed cognitively and neurologically, demonstrating that sign languages share many fundamental properties with spoken languages. Signed languages such as American Sign Language (ASL) are fully developed natural languages with their own phonology, morphology, syntax, and semantics, rather than simple visual representations of spoken words. Psycholinguistic research shows that many classic language-processing phenomena—such as lexicality effects, frequency effects, semantic priming, phonological neighborhood effects, slips of the tongue (or “slips of the hand”), and tip-of-the-tongue states—also occur in sign languages. The chapter discusses how signs are structured through parameters including handshape, location, movement, and orientation, and how these features influence lexical recognition and organization within the mental lexicon. Studies of sign recognition reveal that signers identify key parameters sequentially as a sign unfolds and that lexical competition and neighborhood density affect recognition in ways similar to spoken languages. Research on sign language production demonstrates errors and retrieval phenomena that parallel spoken language errors, supporting the idea that language production mechanisms are modality-independent. Memory studies further show that working memory for sign language operates similarly to spoken language memory, though it relies on visual-manual phonological representations rather than auditory ones. Neurolinguistic evidence from brain-damaged signers and neuroimaging studies confirms that left-hemisphere brain regions—particularly Broca’s and Wernicke’s areas—play central roles in sign language processing, just as they do in spoken language. However, some right-hemisphere regions may contribute more strongly to processing spatial aspects of signed language. Overall, the chapter highlights how studying sign languages provides critical insights into the biological foundations and cognitive mechanisms of human language, revealing both modality-independent linguistic principles and modality-specific adaptations. 🎓 Welcome to Academic Mindcast – Your go-to channel for deep, engaging, and research-driven podcast episodes covering the full spectrum of academic disciplines. Whether you're a student, educator, researcher, or lifelong learner, this is the space where knowledge meets clarity. 🧠 Each episode features expert discussions, current research insights, and thoughtful explorations of key academic fields such as: Psychology, Neuroscience, and Mental Health Linguistics, Language Acquisition, and Education History, Philosophy, and Sociology Mathematics, Statistics, and Data Science Environmental Science, Biology, and Technology Political Science, Economics, and Global Studies Literature, Critical Theory, and the Arts 🔍 Designed for university-level learners and academic professionals, our podcast episodes break down complex topics into accessible, structured content to support your studies, teaching, or research. 🎤 New episodes every week with interviews, case studies, and curated question sets to help you think deeper, write better, and learn smarter. 📚 Subscribe to Academic Mindcast – where ideas ignite, and academic excellence thrives. academic podcast, university podcast, research podcast, education podcast, psychology podcast, science podcast, student learning podcast, academic subjects, higher education podcast, neuroscience podcast, linguistics podcast, data science podcast, academic talk show, scholarly podcast, academic learning YouTube, study podcast, PhD podcast, college podcast, subject-specific podcast, deep dive education podcast, professor podcast