The Annotated Father Brown [computer File] : the Fifty-three Stories in the Father Brown Corpus
Author: Accardo, Pasquale J
Publisher:
Published: 2002
Total Pages:
ISBN-13: 9781552463918
DOWNLOAD EBOOK →Lanterna Rally
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The Complete Annotated Father Brown
Author: Gilbert Keith Chesterton
Publisher:
Published: 2003
Total Pages:
ISBN-13: 9781552463901
DOWNLOAD EBOOK →Three Father Brown Stories
Developing Linguistic Corpora
Author: Martin Wynne
Publisher: Oxbow Books Limited
Published: 2005
Total Pages: 100
ISBN-13:
DOWNLOAD EBOOK →A linguistic corpus is a collection of texts which have been selected and brought together so that language can be studied on the computer. Today, corpus linguistics offers some of the most powerful new procedures for the analysis of language, and the impact of this dynamic and expanding sub-discipline is making itself felt in many areas of language study. In this volume, a selection of leading experts in various key areas of corpus construction offer advice in a readable and largely non-technical style to help the reader to ensure that their corpus is well designed and fit for the intended purpose. This guide is aimed at those who are at some stage of building a linguistic corpus. Little or no knowledge of corpus linguistics or computational procedures is assumed, although it is hoped that more advanced users will find the guidelines here useful. It is also aimed at those who are not building a corpus, but who need to know something about the issues involved in the design of corpora in order to choose between available resources and to help draw conclusions from their studies.
Natural Language Processing with Python
Author: Steven Bird
Publisher: "O'Reilly Media, Inc."
Published: 2009-06-12
Total Pages: 506
ISBN-13: 0596555717
DOWNLOAD EBOOK →This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Text Analytics with Python
Author: Dipanjan Sarkar
Publisher: Apress
Published: 2016-11-30
Total Pages: 397
ISBN-13: 1484223888
DOWNLOAD EBOOK →Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
The Coding Manual for Qualitative Researchers
Author: Johnny Saldana
Publisher: SAGE
Published: 2009-02-19
Total Pages: 282
ISBN-13: 1446200124
DOWNLOAD EBOOK →The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
Statistics in Corpus Linguistics
Author: Vaclav Brezina
Publisher: Cambridge University Press
Published: 2018-09-20
Total Pages: 317
ISBN-13: 1107125707
DOWNLOAD EBOOK →A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.
Corpus Linguistics and the Description ofEnglish
Author: Hans Lindquist
Publisher: Edinburgh University Press
Published: 2009-12-07
Total Pages: 241
ISBN-13: 0748631402
DOWNLOAD EBOOK →A lively hands-on introduction to the use ofelectronic corpora in the description and analysis of English, this bookprovides an ideal introduction for university students of English at theintermediate level. Students planning papers, dissertations or theses willfind the book a particularly valuable guide.After introducing corpora andthe rationale and basic methodology of corpus linguistics, the authorpresents a number of case studies providing new insights into vocabulary,collocations, phraseology, metaphor and metonymy, syntactic structures, maleand female language, and language change. In a final chapter it is shown howthe web can be used as a source for linguistic investigations. Each chapterhas study questions, exercises and suggestions for further reading.Studentswill benefit from the book's*Clear language and structure *Well-definedterminology *Step-by-step instructions *Generous, up-to-date exemplificationfrom different varieties of English around the world *Accompanying web-pagewith exercises and updated information about freely accessiblecorpora.
Corpus linguistics
Author: Stefanowitsch, Anatol
Publisher: Language Science Press
Published: 1996
Total Pages: 510
ISBN-13: 3961102244
DOWNLOAD EBOOK →Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.
