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This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics. It aims to make these techniques more accessible for non-specialists, both theoretically, by means of a careful introduction to the underlying probabilistic and statistical concepts, and practically, by providing a program library implementing the main models for word frequency distributions.
This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics. It aims to make these techniques more accessible for non-specialists, both theoretically, by means of a careful introduction to the underlying probabilistic and statistical concepts, and practically, by providing a program library implementing the main models for word frequency distributions.
The Bibliography of Quantitative Linguistics (BQL) comprises more than 6500 titles from all areas of quantitative linguistic research. Publications have been included without restrictions regarding form, place, language, and date of publication. This bibliography thus provides, for the first time, a comprehensive overview of, and easy bibliographical access to, publications in quantitative linguistics, a linguistic discipline characterized by its rapid and promising scientific development, and its increasing significance for most branches of theoretical and applied language studies.The bibliography consists of: an introduction and instructions for use; a main section containing more than 6500 titles, which is subdivided in 28 thematic classes, each forming a chapter; an index of authors; an index of keywords from titles; indices of subject headings and subheadings; an index of uncontrolled vocabulary; an index of languages investigated; an index of reviewed publications. All texts and indices are in English, German and Russian.
No detailed description available for "The Calculus of Linguistic Observations".
The 25 contributions to this volume, largely reprinted from recent special issues of three information science journals devoted to historical topics, address an array of topics including Paul Otlet and his successors; techniques, tools, and systems; organizations and individuals; theoretical issues; and literature. Annotation copyrighted by Book News, Inc., Portland, OR
Research in Verbal Behavior and Some Neurophysiological Implications focuses on varied approaches to the study of language, including verbal behavior in animals, mimicry, linguistics, and verbal satiation. The selection first offers information on verbal behavior in animals and dolphin's vocal mimicry as a unique ability and a way toward understanding. The book also ponders on the problem of response class in verbal behavior and verbal operant conditioning and awareness. Discussions focus on state of the organism as a determinant of response class, topography of response, common stimulus, and common effect. The publication takes a look at a behavioral basis for the polarity principle in linguistics, acquisition of grammar by children, and interdependencies of the bilingual's two languages. The manuscript also elaborates on verbal satiation and exploration of meaning relations and grammatical indicants of speaking style in normal and aphasic speakers. The selection is highly recommended for readers wanting to study verbal behavior.
Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w
The edited volume Motifs in Language and Text is the first collection of original research in the area of the quantitative analysis of motifs. It hosts a collection of contributions that give insight to linguistic motifs theoretically across different languages, text genres, and structural levels, such as lexical, syntactic, semantic etc., and also to the tentative efforts upon the practical applications of the linguistic motifs. .
This volume explores the universal mathematical properties underlying big language data and possible reasons why such properties exist, revealing how we may be unconsciously mathematical in our language use. These properties are statistical and thus different from linguistic universals that contribute to describing the variation of human languages, and they can only be identified over a large accumulation of usages. The book provides an overview of state-of-the art findings on these statistical universals and reconsiders the nature of language accordingly, with Zipf's law as a well-known example. The main focus of the book further lies in explaining the property of long memory, which was discovered and studied more recently by borrowing concepts from complex systems theory. The statistical universals not only possibly lie as the precursor of language system formation, but they also highlight the qualities of language that remain weak points in today's machine learning. In summary, this book provides an overview of language's global properties. It will be of interest to anyone engaged in fields related to language and computing or statistical analysis methods, with an emphasis on researchers and students in computational linguistics and natural language processing. While the book does apply mathematical concepts, all possible effort has been made to speak to a non-mathematical audience as well by communicating mathematical content intuitively, with concise examples taken from real texts.