Corpus Linguistics And Linguistically Annotated Corpora

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Corpus Linguistics and Linguistically Annotated Corpora

Author: Sandra Kuebler
language: en
Publisher: Bloomsbury Publishing
Release Date: 2014-12-18
Linguistically annotated corpora are becoming a central part of the corpus linguistics field. One of their main strengths is the level of searchability they offer, but with the annotation come problems of the initial complexity of queries and query tools. This book gives a full, pedagogic account of this burgeoning field. Beginning with an overview of corpus linguistics, its prerequisites and goals, the book then introduces linguistically annotated corpora. It explores the different levels of linguistic annotation, including morphological, parts of speech, syntactic, semantic and discourse-level, as well as advantages and challenges for such annotations. It covers the main annotated corpora for English, the Penn Treebank, the International Corpus of English, and OntoNotes, as well as a wide range of corpora for other languages. In its third part, search strategies required for different types of data are explored. All chapters are accompanied by exercises and by sections on further reading.
Handbook of Linguistic Annotation

This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and automatic annotation process, evaluation, and iterative improvement of annotation accuracy. The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.
Corpus Linguistics

Author: Tony McEnery
language: en
Publisher: Cambridge University Press
Release Date: 2011-10-06
Corpus linguistics is the study of language data on a large scale - the computer-aided analysis of very extensive collections of transcribed utterances or written texts. This textbook outlines the basic methods of corpus linguistics, explains how the discipline of corpus linguistics developed and surveys the major approaches to the use of corpus data. It uses a broad range of examples to show how corpus data has led to methodological and theoretical innovation in linguistics in general. Clear and detailed explanations lay out the key issues of method and theory in contemporary corpus linguistics. A structured and coherent narrative links the historical development of the field to current topics in 'mainstream' linguistics. Practical tasks and questions for discussion at the end of each chapter encourage students to test their understanding of what they have read and an extensive glossary provides easy access to definitions of technical terms used in the text.