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Lexicology. Semantics --- Mathematical linguistics --- Information systems --- Corpora (Linguistics) --- Computational linguistics. --- Linguistics --- Linguistique computationnelle --- --Statistical methods --- Statistical methods. --- Corpora (Linguistics). --- Computational linguistics --- Language and languages --- Linguistics, Statistical --- Statistical linguistics --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Automatic language processing --- Language data processing --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Multilingual computing --- Statistical methods --- Data processing --- Linguistics - Statistical methods
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This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression modeling. The main revision is a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated-measures ANOVA.The revisions are completed by a new visual tool to identify the right statistical test for a given problem and data set.
Programming --- Mathematical linguistics --- Mathematical statistics --- Linguistics --- R (Computer program language) --- Statistical methods. --- Statistiek --- Linguïstiek --- statistische methoden --- statistische methodes --- Statistiek. --- R (Computer program language). --- statistische methoden. --- statistische methodes. --- Statistical methods --- Statistische methoden. --- Statistische methodes. --- GNU-S (Computer program language) --- Domain-specific programming languages --- Language and languages --- Linguistics, Statistical --- Statistical linguistics --- Linguistics - Statistical methods
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As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.
Linguistics --- R (Computer program language) --- Computational linguistics --- Statistical methods --- Computational linguistics. --- Statistical methods. --- Linguistics - Statistical methods --- Computerlinguïstiek. --- Corpuslinguïstiek. --- Linguïstiek --- R (Computer program language). --- Statistische methoden.
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This series of lectures provides an overview of the author's work on quantitative applications in cognitive linguistics by discussing a wide range of studies involving corpus-linguistic as well as experimental work. After a discussion of how corpus linguistics, cognitive linguistics, and psycholinguistics relate to each other, the author discusses empirical and statistical studies of a wide variety of phenomena including morphophonology (morphological blends and alliteration effects), corpus-based cognitive semantics, frequency and association at the syntax-lexis interface. The book concludes with chapters exemplifying the role that bottom-up approaches can take, the role of statistical methods more generally, and the role of converging evidence from corpus and experimental data.The lectures for this book were given at the 'The China International Forum on Cognitive Linguistics' in May 2013.
Pragmatics --- Psycholinguistics --- Mathematical linguistics --- Cognitive grammar --- Corpora (Linguistics) --- Computational linguistics --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Language, Psychology of --- Language and languages --- Psychology of language --- Speech --- Linguistics --- Psychology --- Thought and thinking --- Automatic language processing --- Language data processing --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Multilingual computing --- Cognitive linguistics --- Grammar, Comparative and general --- Data processing --- Psychological aspects --- Data processing. --- Cognitive grammar.
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In this book, Stefan Th. Gries provides an overview on how quantitative corpus methods can provide insights to cognitive/usage-based linguistics and selected psycholinguistic questions. Topics include the corpus linguistics in general, its most important methodological tools, its statistical nature, and the relation of all these topics to past and current usage-based theorizing. Central notions discussed in detail include frequency, dispersion, context, and others in a variety of applications and case studies; four practice sessions offer short introductions of how to compute various corpus statistics with the open source programming language and environment R.
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This book presents a new analysis of the word-order alternation of English transitive phrasal verbs (aka Particle Movement) from a cognitive-functional and psycholinguistic perspective. Its main objective, however, is a methodological one, namely to demonstrate the superiority of corpus-based, multifactorial and probabilistic approaches towards grammatical phenomena over traditional analyses based on acceptability judgements and minimal pair tests.
English language --- Computational linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Particles. --- Word order. --- Data processing --- Adverb --- Position --- Infinitive, Split --- Split infinitive --- Computational linguistics --- 802.0-56 --- 802.0-56 Engels: syntaxis; semantiek --- Engels: syntaxis; semantiek --- Particles --- Word order --- Germanic languages
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"This book is an attempt to revisit the main specifically corpus-linguistic statistics/measures the field has been relying on for decades: frequency, dispersion, association, and keyness. The book first discusses the purpose of these measures and how these have been measured. Then, the book makes three main proposals: First, that many measures of dispersion, association, and keyness are too confounded with frequency and how to 'take frequency out of them' to obtain conceptually cleaner / more interpretable measures. Second, that many existing measures can be replaced by the simple information-theoretic measure of the Kullback-Leibler divergence and that it, too, can have frequency 'removed' from it. Third, that corpus linguistics should abandon the tradition of trying to describe our findings with a single number and adopt a tupleization approach instead, where we use several separate dimensions of information for description and interpretation. The book is written in an informal, hands-on style and comes with its own R package featuring functions, example data, and several thousand lines of code exemplifying all applications"--
Corpora (Linguistics). --- Corpus (Linguistique). --- Frequency (Linguistics). --- Fréquence des mots. --- Corpora (Linguistics) --- Linguistic analysis (Linguistics) --- Linguistics --- Statistical methods
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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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Construction grammar --- Corpora (Linguistics) --- Generative grammar. --- Data processing.
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Cognitive Linguistics is not a unified theory of language but rather a set of flexible and mutually compatible theoretical frameworks. Whether these frameworks can or should stabilize into a unified theory is open to debate. One set of contributions to the volume focuses on evidence that strengthens the basic tenets of CL concerning e.g. non-modularity, meaning, and embodiment. A second set of chapters explores the expansion of the general CL paradigm and the incorporation of theoretical insights from other disciplines and their methodologies - a development that could lead to competing and mu
Psycholinguistics --- Grammar --- Cognitive grammar --- Cognitive grammar. --- Cognitive linguistics --- Grammar, Comparative and general
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