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This book explores the interconnections between linguistics and Artificial Intelligence (AI) research, their mutually influential theories and developments, and the areas where these two groups can still learn from each other. It begins with a brief history of artificial intelligence theories focusing on figures including Alan Turing and M. Ross Quillian and the key concepts of priming, spread-activation and the semantic web. The author details the origins of the theory of lexical priming in early AI research and how it can be used to explain structures of language that corpus linguists have uncovered. He explores how the idea of mirroring the mind’s language processing has been adopted to create machines that can be taught to listen and understand human speech in a way that goes beyond a fixed set of commands. In doing so, he reveals how the latest research into the semantic web and Natural Language Processing has developed from its early roots. The book moves on to describe how the technology has evolved with the adoption of inference concepts, probabilistic grammar models, and deep neural networks in order to fine-tune the latest language-processing and translation tools. This engaging book offers thought-provoking insights to corpus linguists, computational linguists and those working in AI and NLP. Michael Pace-Sigge is Senior Lecturer at the University of Eastern Finland, Finland. His key areas of research are corpus linguistics and lexical priming. He is the author of Lexical Priming in Spoken English Usage (2013) and co-editor of Lexical Priming: Advances and Applications (2017).

Psycholinguistics. --- Artificial intelligence. --- Lexicology. --- English language --- Language and languages --- Language, Psychology of --- Psychology of language --- Speech --- Linguistics --- Psychology --- Thought and thinking --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Lexicology --- Psychological aspects --- Corpora (Linguistics). --- Pragmatics. --- Translating and interpreting. --- Corpus Linguistics. --- Artificial Intelligence. --- Lexicology/Vocabulary. --- Translation. --- Interpretation and translation --- Interpreting and translating --- Literature --- Translation and interpretation --- Translators --- Pragmalinguistics --- General semantics --- Logic, Symbolic and mathematical --- Semantics (Philosophy) --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Translating --- Philosophy --- Translation and interpretation. --- Corpora (Linguistics)

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"Corpus Linguistics is becoming an increasingly important branch of language research and interest has spread noticeably beyond the confines of academia, fuelled by applications like text predicting software. The idea of priming in language goes back to the early 1960s with the concept of a 'Teachable Language Comprehender', which started experiments into language processing and which inspired one of Google's chief engineers. The concept of Lexical Priming (Hoey: 2005) aims to supply answers as to how we can explain word choices and construction forms that are more frequent than laws of probability would allow. This book provides a range of arguments to support the validity of Lexical Priming as a linguistic theory, while it also extends the reach of what Lexical Priming has been used to describe. Beyond the written-text material originally used, this book provides evidence that lexical priming also applies to everyday spoken conversations as its psychological foundations predict that it should"--

Lexicology --- English language --- Grammaticality (Linguistics) --- Corpora (Linguistics) --- Reference (Linguistics)

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Artificial intelligence --- Computational linguistics --- Psycholinguistics --- Corpora (Linguistics) --- Discourse analysis --- Semantics --- Pragmatics

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"Michael Pace-Sigge has produced a fascinating, rigorous and at times surprising account of linked noun groups that will become required reading for anyone interested in a corpus-driven description of this phenomenon."--Michael Hoey, Professor Emeritus, University of Liverpool, UK "This book brings a meticulously in-depth focus to the study of how nouns pair with other nouns. What is most laudable and exciting about this book is its contribution to our understanding of these multi-word units in terms of how they differ across spoken and written modes, across specific genres and how they may have changed over time. It also showcases the importance of the findings for enhanced language description for literary stylistics and language teaching."-Anne O'Keeffe, Senior Lecturer, Mary Immaculate College, Ireland This book provides a corpus-led analysis of multi-word units (MWUs) in English, specifically fixed pairs of nouns which are linked by a conjunction, such as 'mum and dad', 'bride and groom' and 'law and order'. Crucially, the occurrence pattern of such pairs is dependent on genre, and this book aims to document the structural distribution of some key Linked Noun Groups (LNGs). The author looks at the usage patterns found in a range of poetry and fiction dating from the 17th to 20th century, and also highlights the important role such binomials play in academic English, while acknowledging that they are far less common in casual spoken English. His findings will be highly relevant to students and scholars working in language teaching, stylistics, and language technology (including AI). Michael Pace-Sigge is Senior Lecturer at the University of Eastern Finland.

Cognitive psychology --- Computer. Automation --- Film --- Linguistics --- NLP (neurolinguïstisch programmeren) --- film --- cognitieve psychologie --- linguïstiek --- Linguistics. --- Language and languages --- Film genres. --- Natural language processing (Computer science) --- Cognitive psychology. --- Stylistics. --- Genre Studies. --- Natural Language Processing (NLP). --- Cognitive Psychology. --- Style.

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Lexicology. --- Grammar, Comparative and general. --- Discourse analysis. --- Creativity (Linguistics)