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| Author | : Douglas Biber |
| Publisher | : Cambridge University Press |
| Total Pages | : 324 |
| Release | : 1998-04-23 |
| Genre | : Computers |
| ISBN | : 9780521499576 |
An investigation into the way people use language in speech and writing, this volume introduces the corpus-based approach, which is based on analysis of large databases of real language examples stored on computer.
| Author | : Stefan Th. Gries |
| Publisher | : Routledge |
| Total Pages | : 257 |
| Release | : 2009-03-04 |
| Genre | : Education |
| ISBN | : 1135895600 |
The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.
| Author | : Oliver Mason |
| Publisher | : Edinburgh Textbooks in Empiric |
| Total Pages | : 0 |
| Release | : 2000 |
| Genre | : Computers |
| ISBN | : 9780748614073 |
Specialised linguistic research needs can no longer be met by available software. This book enables the researcher to write programs for text and corpus processing, using the popular and easy to learn Java language.
| Author | : Magali Paquot |
| Publisher | : Springer Nature |
| Total Pages | : 686 |
| Release | : 2021-05-04 |
| Genre | : Philosophy |
| ISBN | : 3030462161 |
This handbook is a comprehensive practical resource on corpus linguistics. It features a range of basic and advanced approaches, methods and techniques in corpus linguistics, from corpus compilation principles to quantitative data analyses. The Handbook is organized in six Parts. Parts I to III feature chapters that discuss key issues and the know-how related to various topics around corpus design, methods and corpus types. Parts IV-V aim to offer a user-friendly introduction to the quantitative analysis of corpus data: for each statistical technique discussed, chapters provide a practical guide with R and come with supplementary online material. Part VI focuses on how to write a corpus linguistic paper and how to meta-analyze corpus linguistic research. The volume can serve as a course book as well as for individual study. It will be an essential reading for students of corpus linguistics as well as experienced researchers who want to expand their knowledge of the field.
| Author | : Daniel Keller |
| Publisher | : Cambridge University Press |
| Total Pages | : 226 |
| Release | : 2024-06-30 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1108916384 |
This Element offers intermediate or experienced programmers algorithms for Corpus Linguistic (CL) programming in the Python language using dataframes that provide a fast, efficient, intuitive set of methods for working with large, complex datasets such as corpora. This Element demonstrates principles of dataframe programming applied to CL analyses, as well as complete algorithms for creating concordances; producing lists of collocates, keywords, and lexical bundles; and performing key feature analysis. An additional algorithm for creating dataframe corpora is presented including methods for tokenizing, part-of-speech tagging, and lemmatizing using spaCy. This Element provides a set of core skills that can be applied to a range of CL research questions, as well as to original analyses not possible with existing corpus software.
| Author | : Peter Forrest |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 134 |
| Release | : 2017-08-15 |
| Genre | : |
| ISBN | : 9781979811064 |
This book enables the researcher to write programs for text and corpus processing. Useful techniques are illustrated with the popular programming language Java, which is very well suited for handling textual data, and at the same time easy to learn.The ability to program a computer has become increasingly important in work that involves corpora. Specialised research needs can no longer be met by available software, and purchasing customised programs is usually not an option.
| Author | : Jonathan Dunn |
| Publisher | : Cambridge University Press |
| Total Pages | : 149 |
| Release | : 2022-03-31 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1009083740 |
Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora. These computational methods are becoming increasingly important as corpora grow too large for more traditional types of linguistic analysis. We draw on five case studies to show how and why to use computational methods, ranging from usage-based grammar to authorship analysis to using social media for corpus-based sociolinguistics. Each section is accompanied by an interactive code notebook that shows how to implement the analysis in Python. A stand-alone Python package is also available to help readers use these methods with their own data. Because large-scale analysis introduces new ethical problems, this Element pairs each new methodology with a discussion of potential ethical implications.
| Author | : Martin Weisser |
| Publisher | : John Wiley & Sons |
| Total Pages | : 306 |
| Release | : 2016-02-16 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1118831888 |
This is the first book of its kind to provide a practical and student-friendly guide to corpus linguistics that explains the nature of electronic data and how it can be collected and analyzed. Designed to equip readers with the technical skills necessary to analyze and interpret language data, both written and (orthographically) transcribed Introduces a number of easy-to-use, yet powerful, free analysis resources consisting of standalone programs and web interfaces for use with Windows, Mac OS X, and Linux Each section includes practical exercises, a list of sources and further reading, and illustrated step-by-step introductions to analysis tools Requires only a basic knowledge of computer concepts in order to develop the specific linguistic analysis skills required for understanding/analyzing corpus data
| Author | : Stefan Th. Gries |
| Publisher | : Routledge |
| Total Pages | : 234 |
| Release | : 2009-03-04 |
| Genre | : Education |
| ISBN | : 1135895597 |
The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.
| Author | : Posavec, Kristina |
| Publisher | : IGI Global |
| Total Pages | : 237 |
| Release | : 2020-04-03 |
| Genre | : Education |
| ISBN | : 1799836827 |
During the last four decades, a corpus-based approach to language teaching has become very significant. Direct use of corpora in language pedagogy is limited by certain factors: time, the lecturer’s knowledge and skills needed to analyze the corpus, access to sources such as computers and appropriate computer tools, or a combination of these factors. The key to a successful corpus-based approach is in the appropriate level of the lecturer’s guidance or pedagogical mediation, which depends on student age, experience, and prior knowledge. It is therefore very important that lecturers be equipped with the necessary knowledge and education for using and analyzing corpora on a daily basis. Computer Corpora and Open Source Software for Language Learning: Emerging Research and Opportunities is a cutting-edge research publication that analyzes teacher experiences in implementing computer corpora into their language learning classrooms in order to formulate additional insights as to best strategies for integrating such tools that maximizes language learning efficiency in primary and secondary education. Highlighting topics such as ICT tools, language education, and linguistics, this book is ideal for academicians, educators, computer science teachers, IT professionals, researchers, and students.
