English Corpus Linguistics: An Introduction (Studies in English Language) Review

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English Corpus Linguistics: An Introduction (Studies in English Language) ReviewEnglish Corpus Linguistics: An Introduction is a must read for anyone wanting to secure a first foothold of understanding in the field. I think it would also provide a good overview for experienced corpus linguists. The book is extremely well written. There is no fluff but the text is very readable and open to anyone with an interest. The author is consistent in his prose and does a good job of balancing practical and theoretical concerns. He doesn't waste the reader's time with trifles, but makes a good entry into each well-defined subject area, provides you with a content that presents itself without considerable prerequisites of knowledge, and makes a clean exit with an apt conclusion to each chapter. The material builds on itself but is also spread out - but not to thin to loose perspective - so as not to topple the reader. I think the only thing that I might have added would have been a summary checklist with cross-reference back to individual sections. However, with 141 reading pages, it is concise enough to do a quick review by flipping through the various sections. This is important, because there is much information to take from this book as one furthers their learning.English Corpus Linguistics: An Introduction (Studies in English Language) OverviewThis step-by-step guide to creating and analyzing linguistic corpora discusses the role that corpus linguistics plays in linguistic theory. It demonstrates that corpora have proven to be very useful resources for linguists who believe that their theories and descriptions of English should be based on real rather than contrived data. The author shows how to collect and computerize data for inclusion in a corpus and how to annotate and conduct a linguistic analysis once the corpus has been created.

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Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies Review

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Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies ReviewQuite introductory material, good for beginners (students as well as teachers planning a course) and strong in showing the links between critical discourse analysis and corpus linguistics.Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies OverviewIntroducing Electronic Text Analysis is a practical and much needed introduction to corpora-bodies of linguistic data. Written specifically for students studying this topic for the first time, the book begins with a discussion of the underlying principles of electronic text analysis. It then examines how these corpora enhance our understanding of literary and non-literary works. In the first section the author introduces the concepts of concordance and lexical frequency, concepts whichare then applied to a range of areas of language study. Key areas examined are the use of on-line corpora to complement traditional stylistic analysis, and the ways in which methods such as concordance and frequency counts can reveal a particular ideology within a text. Presenting an accessible and thorough understanding of the underlying principles of electronic text analysis, the book contains abundant illustrative examples and a glossary with definitions of main concepts. Itwill also besupported by a companion website with links to on-line corpora so that students can apply their knowledge to further study. The accompanying website to this book can be found at http://www.routledge.com/textbooks/0415320216

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From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library) Review

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From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library) ReviewIt is easy to read with lots of examples. Gives planty of ideas if you are interested in corpus study.From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library) OverviewFrom Corpus to Classroom summarises and makes accessible recent work in corpus research, focusing particularly on spoken data. It is based on analysis of corpora such as CANCODE and Cambridge International Corpus, and written with particular reference to the development of corpus-informed pedagogy.The book explains how corpora can be designed and used, and focuses on what they tell us about language teaching. It examines the relevance of corpora to materials writers, course designers and language teachers and considers the needs of the learner in relation to authentic data. It shows how the answers to key questions such as 'Is there a basic, everyday vocabulary for English?', 'How should idioms be taught?' and 'What are the most common spoken language chunks?' are best explored by means of a clearer understanding of the workings of language in context.

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Foundations of Statistical Natural Language Processing Review

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Foundations of Statistical Natural Language Processing ReviewThis is the best book I've ever read on computational linguistics. It should be ideal for both linguists who want to learn about statistical language processing and those building language applications who want to learn about linguistics. This book isn't even published and it's now my most highly used reference book, joining gems such as Cormen, Leiserson and Rivest's algorithm book, Quirk et al.'s English Grammar, and Andrew Gelman's Bayesian statistics book (three excellent companions to this book, by the way).
The book is written more like a computer science or math book in that it starts absolutely from scratch, but moves quickly and assumes a sophisticated reader. The first one hundred or so pages provide background in probability, information theory and linguistics.
This book covers (almost) every current trend in NLP from a statistical perspective: syntactic tagging, sense disambiguation, parsing, information retrieval, lexical subcategorization, Hidden Markov Models, and probabilistic context-free grammars. It also covers machine translation and information retrieval in later chapters.
It covers all the statistical techniques used in NLP from Bayes' law through to maximum entropy modeling, clustering: nearest neighbors and decision trees, and much more.
What you won't find is information on applications to higher-level discourse and dialogue phenomena like pronoun resolution or speech act classification.Foundations of Statistical Natural Language Processing OverviewStatistical approaches to processing natural language text have becomedominant in recent years. This foundational text is the first comprehensiveintroduction to statistical natural language processing (NLP) to appear. The bookcontains all the theory and algorithms needed for building NLP tools. It providesbroad but rigorous coverage of mathematical and linguistic foundations, as well asdetailed discussion of statistical methods, allowing students and researchers toconstruct their own implementations. The book covers collocation finding, word sensedisambiguation, probabilistic parsing, information retrieval, and otherapplications.

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