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Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
#KVHA:Taalkunde --- #KVHA:Statistical analysis --- #KVHA:Statistiek --- Computational linguistics --- Linguistics --- Mathematical linguistics --- R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- Algebraic linguistics --- Language and languages --- Linguistics, Mathematical --- Applied linguistics --- Information theory --- Linguistics, Statistical --- Statistical linguistics --- Automatic language processing --- Language data processing --- Natural language processing (Linguistics) --- Cross-language information retrieval --- Multilingual computing --- Statistical methods --- Mathematical models --- Data processing --- Programming --- Mathematical statistics --- Computational linguistics. --- Linguïstiek. --- Linguïstiek. --- Mathematical linguistics. --- R (Computer program language). --- R (computerprogramma). --- Statistische methoden. --- Statistical methods. --- Computerlinguïstiek. --- Linguïstiek --- Mathematische linguïstiek. --- R (programmeertaal). --- statistische methodes. --- R (computerprogramma) --- Statistische methodes. --- Linguistics - Statistical methods --- Linguistique mathématique --- R (computer program language) --- Linguistique --- Linguistique computationnelle --- Méthodes statistiques --- Arts and Humanities --- Language & Linguistics --- Linguistique mathématique --- Méthodes statistiques
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This volume consists of selected papers from the 2009 meeting of the American Association for Corpus Linguistics. The chapters cover aspects of language use (usage-based accounts of morphology/syntax of English and Tok Pisin), language learning (corpus-based learning of English, syntactic development observable in a Learner Corpus of English, “core” vocabulary items for learners of English) and language documentation (a new and innovative usage-based frequency dictionary of English, proposals to broaden the traditional understanding of a corpus in various directions, e.g., constructing a corpus of the content of Japanese manga comics). Taken together, the thirteen chapters represent a good cross-section of strands of new work in corpus linguistics, as practised by international scholars working on English and other languages.
Linguistics --- Linguistics. --- Linguistic science --- Science of language --- Language and languages --- Computational linguistics --- Linguistics - Congresses
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Cognitive foundations of language introduces the reader to the abilities and processes in which research in Cognitive Linguistics is grounded. The book looks at key concepts, such as embodiment, salience, entrenchment, construal, categorization, and collaborative communication, and discusses their genesis and implications for cognitive linguistic research.
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