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This volume brings together empirical Construction Grammar studies to (i) promote cross-fertilization between researchers interested in constructional approaches on various languages, and (ii) further the growing trend towards empirically rigorous research that takes seriously a commitment not only to usage-based theories, but also to usage-based methodologies. Accordingly, the chapters in this volume comprise a range of studies not based on synchronic contemporary English but include Dutch, old English, Italian, and Spanish. This volume also features studies from a wider range of statistical sophistication: some chapters use more traditional frequency- and attestation-based approaches, some chapters use inferential statistical techniques to explore lexically specific preferences and patterns in constructional slots, and some chapters use multifactorial hypothesis-testing techniques or multivariate exploratory tools to discover patterns in corpus data that a mere eye-balling or simple statistical tools would not uncover
Construction grammar --- Corpora (Linguistics) --- Generative grammar. --- Grammar, Comparative and general --- Grammar, Generative --- Grammar, Transformational --- Grammar, Transformational generative --- Transformational generative grammar --- Transformational grammar --- Psycholinguistics --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Data processing. --- Derivation --- Computer. Automation --- Grammar --- Mathematical linguistics --- Generative grammar --- Data processing --- Construction grammar - Data processing --- Corpora (Linguistics) - Data processing
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Fondée en 1996 pour faire suite à la collection « Étude de la traduction » créée par Michel Ballard et Lieven D'Hulst, la collection « Traductologie » des Presses Universitaires du Septentrion regroupe toute une série d’ouvrages qui concernent la traductologie et la traduction sous leurs différents aspects. Ainsi, certains ouvrages concernent l’histoire de la traduction ou la traductologie théorique, et proposent au lecteur des réflexions et analyses sur l’évolution de la traduction à travers les âges ou sur les concepts traductologiques fondamentaux. D’autres ouvrages sont consacrés à des analyses traductologiques sur une thématique donnée (par exemple le jeu de mots, la criminalité), ou encore aux liens qu’entretient la traductologie avec d’autres disciplines comme la linguistique ou la philosophie. Ouverte à toutes les approches, la collection « Traductologie » publie également des ouvrages qui s’intéressent à la traduction en tant qu’activité professionnelle ainsi qu’aux outils d’aide à la traduction.
Corpus linguistique --- Traduction --- Traduction assistée par ordinateur --- Innovations technologiques --- Machine translating --- Translating and interpreting --- Corpora (Linguistics) --- Technological innovations --- Data processing --- #KVHA:Vertaalwetenschap --- #KVHA:Corpuslinguïstiek --- Translation science --- Pragmatics --- Machine translating. --- Vertalen en corpuslinguïstiek. --- Technological innovations. --- Data processing. --- Innovations technologiques. --- Corpus linguistique. --- Traduction assistée par ordinateur. --- Translating and interpreting - Technological innovations --- Translating and interpreting - Data processing --- Corpora (Linguistics) - Data processing
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Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests. Accessibly written, this book discusses the 'why' behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to: " pose research questions in terms of choice and constraint; " employ confidence intervals correctly (including in graph plots); " select optimal significance tests (and what results mean); " measure the size of the effect of one variable on another; " estimate the similarity of distribution patterns; and " evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource.
Corpora (Linguistics) --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Data processing. --- Linguistics --- Computational linguistics --- Data processing --- Statistical methods --- Language and languages --- Linguistics, Statistical --- Statistical linguistics --- Mathematical linguistics --- Automatic language processing --- Language data processing --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Multilingual computing --- Corpora (Linguistics) - Data processing --- Linguistics - Statistical methods
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The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.
Cluster analysis -- Data processing. --- Corpora (Linguistics) -- Data processing. --- Natural language processing (Computer science). --- Quantitative linguistics. --- Corpora (Linguistics) --- Cluster analysis --- Natural language processing (Computer science) --- Quantitative linguistics --- Computational linguistics --- Languages & Literatures --- Philology & Linguistics --- Data processing --- Cluster-Analyse. --- Korpus (Linguistik) --- Corpus linguistics; cluster analysis; quantitative linguistics; hypothesis generation --- (VLB-WN)1561: Hardcover, Softcover / Allgemeine und Vergleichende Sprachwissenschaft --- Korpus (Linguistik). --- Corpus linguistics; cluster analysis; quantitative linguistics; hypothesis generation. --- (VLB-WN)1561: Hardcover, Softcover / Allgemeine und Vergleichende Sprachwissenschaft. --- Computational linguistics. --- Data processing. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Corpus linguistics. --- cluster analysis. --- hypothesis generation. --- quantitative linguistics.
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