Description
Multilayer Corpus Studies
Routledge Advances in Corpus Linguistics Series
Author: Zeldes Amir
Language: EnglishSubject for Multilayer Corpus Studies:
Keywords
Multilayer Corpus; POS Tag; Annotation Layers; Coreference Annotation; RST; Penn Treebank; Coreference Resolution; Multilayer Data; Discourse Parsing; Syntax Trees; Word Forms; Data Models; Target Hypotheses; Annotated Corpus; Tag Sets; Notional Agreement; Referential Accessibility; Discourse Referents; Token Id; Veins Theory; Pronominal Anaphora; Explicit Connectives; TEI XML; Dependency Treebank; AP
Publication date: 06-2020
· 15.2x22.9 cm · Paperback
Publication date: 08-2018
· 15.2x22.9 cm · Hardback
Description
/li>Contents
/li>Readership
/li>Biography
/li>
This volume explores the opportunities afforded by the construction and evaluation of multilayer corpora, an emerging methodology within corpus linguistics that brings about multiple independent parallel analyses of the same linguistic phenomena, and how the interplay of these concurrent analyses can help to push the field into new frontiers. The first part of the book surveys the theoretical and methodological underpinnings of multilayer corpus work, including an exploration of various technical and data collection issues. The second part builds on the groundwork of the first half to show multilayer corpora applied to different subfields of linguistic study, including information structure research, referentiality, discourse models, and functional theories of discourse analysis, synthesizing these different discussions in a detailed case study of non-standard language in its concluding chapter. Advancing the multilayer corpus linguistic research paradigm into new and different directions, this volume is an indispensable resource for graduate students and researchers in corpus linguistics, syntax, semantics, construction studies, and cognitive grammar.
Part I: The Multilayer Approach
1. Introduction
2. Foundations
3. Tools, Formats and Multilayer Data Collection
Part II: Leveraging Multilayer Data
4. Probablistic Syntax, Agreement and Information Structure
5. Entity Models and Referentiality
6. Discourse Organization
7. Non-Standard Language
8. Conclusion
Amir Zeldes is Assistant Professor of Computational Linguistics in the Department of Linguistics at Georgetown University, USA.
These books may interest you
Corpus PragmaticsA Handbook 41.94 €