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Speech and Language Processing

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
Systematic Approaches to a Successful Literature Review

Showing you how to take a structured and organized approach to a wide range of literature review types, this book helps you to choose which approach is right for your research. Packed with constructive tools, examples, case studies and hands-on exercises, the book covers the full range of literature review techniques. New to This Edition: Full re-organization takes you step-by-step through the process from beginning to end New chapter showing you how to choose the right method for your project Practical guidance on integrating qualitative and quantitative data New coverage of rapid reviews Comprehensive inclusion of literature review tools, including concept analysis, scoping and mapping With an emphasis on the practical skills, this guide is essential for any student or researcher needing to get from first steps to a successful literature review.