Overview

Corpus linguistics plays a crucial role in advancing our understanding of language by providing empirical data-driven insights across various linguistic disciplines. By analyzing large collections of real-world texts, corpus methodologies enhance language teaching, improve comprehension of language processing in the brain, and offer new perspectives on literary analysis. In natural language processing (NLP), corpora serve as the foundation for training AI models, enabling more accurate machine translation, speech recognition, and text analysis. These applications not only deepen our theoretical understanding of language but also drive innovations in education, technology, and communication. As linguistic research continues to evolve, corpus linguistics remains a powerful tool for bridging the gap between theory and real-world language use. Exploration of the Intersection of Corpus Linguistics and Language Science explores the intersection of corpus linguistics with key areas of language sciences, including language teaching, psycholinguistics, literary analysis, and natural language processing. Through innovative research and empirical studies, it highlights how corpus methodologies enhance linguistic theory, inform practical applications, and drive advancements in language-related fields. Covering topics such as phonemic awareness, cognitive patterns, and writing performance, this book is an excellent resource for linguists, psycholinguists, language scientists, educators, literacy professionals, researchers, professionals, scholars, academicians, and more.

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Hakan Cangır is a language instructor and he teaches Turkish and English languages in Türkiye and Germany. He does research on the intersection of corpus linguistics and psycholinguistics. He is also interested in learner corpus research and natural language processing. Currently, he works as a visiting lecturer at Erfurt University, Language School & Department of Applied Linguistics Kutay Uzun works in the English Language Teaching Department at Trakya University, Turkey. His research interests are L2 (academic) writing, natural language processing and educational data mining. He has published in well-known international journals and contributed to the field of language education with his studies on second language writing, machine learning, and automated essay scoring. Taner Can is an associate professor of English literature at TED University, where he joined the Department of English Language and Literature in April 2018. Before joining TED University, Can worked as an instructor of English at Ankara University for fourteen years. He earned his PhD in English literature from Ankara University in 2011. His research interests lie in cultural studies, war literature, contemporary fiction and digital humanities. Key Publications: - Can, T., & Cangir, H., (2019). A corpus-assisted comparative analysis of self-mention markers in doctoral dissertations of literary studies written in Turkey and the UK. Journal of English for Academic Purposes, vol.42. - Can, T., & Cangir, H., (2021). A warring style: A corpus stylistic analysis of the First World War poetry. Digital Scholarship in the Humanities, vol.37, 10-30. Enis Oğuz is an English instructor at Middle East Technical University. He has completed his PhD in languages studies in Middle East Technical University. Enis is interested in computational linguistics, bilingualism, and psycholinguistics, and he develops his skills in statistics and computer programming continuously to create better experiments and data analysis reports.

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