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Home > Language, Linguistics & Creative Writing > Linguistics > Computational and corpus linguistics

Computational and corpus linguistics

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Advances in Natural Language Processing, Intelligent Informatics and Smart Technology37 %
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Conversational AI37 %
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Artificial Intelligence and Large Language Models47 %
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200 Problems on Languages, Automata, and Computation15 %
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Transformers for Machine Learning
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Connecting Intelligence47 %
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The Language of ICT47 %
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Discourse of Twitter and Social Media27 %
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Tools of the Scribe36 %
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Understanding Artificial Minds through Human Minds47 %
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Anthropology and AI47 %
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Representation Learning for Natural Language Processing36 %
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The Handbook of Computational Linguistics and Natural Language Processing
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Text Analysis with R43 %
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Rethinking Writing Education in the Age of Generative AI47 %
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Why Machines Will Never Rule the World47 %
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Rethinking Language Education in the Age of Generative AI47 %
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AI for Communication47 %
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The Arden Encyclopedia of Shakespeare’s Language34 %
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Translation Tools and Technologies47 %
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Computational and corpus linguistics combines computer science and linguistic analysis to understand language patterns through large text datasets. This category offers authoritative resources covering key topics such as natural language processing, machine learning applications in linguistics, corpus analysis techniques, and language modeling. Whether you are researching syntactic structures, semantic analysis, or developing language technologies, these books provide essential insights and practical methodologies. Stay updated with the latest theories and advancements in computational tools and corpus-based research. Ideal for linguists, data scientists, and language technology developers, this collection enriches your knowledge and enhances your analytical skills in computational and corpus linguistics. Browse now to find comprehensive guides, textbooks, and reference materials tailored to your academic and professional needs.
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