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Lexical Collocation Analysis

Advances and Applications

  • Pascual Cantos-Gómez
  • Moisés Almela-Sánchez

About this book

Introduction

This book re-examines the notion of word associations, more precisely collocations. It attempts to come to a potentially more generally applicable definition of collocation and how to best extract, identify and measure collocations. The book highlights the role played by (i) automatic linguistic annotation (part-of-speech tagging, syntactic parsing, etc.), (ii) using semantic criteria to facilitate the identification of collocations, (iii) multi-word structured, instead of the widespread assumption of bipartite collocational structures, for capturing the intricacies of the phenomenon of syntagmatic attraction, (iv) considering collocation and valency as near neighbours in the lexis-grammar continuum and (v) the mathematical properties of statistical association measures in the automatic extraction of collocations from corpora. This book is an ideal guide to the use of statistics in collocation analysis and lexicography, as well as a practical text to the development of skills in the application of computational lexicography.

 

Lexical Collocation Analysis: Advances and Applications begins with a proposal for integrating both collocational and valency phenomena within the overarching theoretical framework of construction grammar. Next the book makes the case for integrating advances in syntactic parsing and in collocational analysis. Chapter 3 offers an innovative look at complementing corpus data and dictionaries in the identification of specific types of collocations consisting of restricted predicate-argument combinations. This strategy complements corpus collocational data with network analysis techniques applied to dictionary entries. Chapter 4 explains the potential of collocational graphs and networks both as a visualization tool and as an analytical technique. Chapter 5 introduces MERGE (Multi-word Expressions from the Recursive Grouping of Elements), a data-driven approach to the identification and extraction of multi-word expressions from corpora. Finally the book concludes with an analysis and evaluation of factors influencing the performance of collocation extraction methods in parsed corpora.


Keywords

Collocation Analysis Collocation Extraction Corpus Linguistics Computational Lexicography Statistics in Linguistics Quantitative Linguistics Computational Linguistics Lexical Collocation Analysis

Editors and affiliations

  • Pascual Cantos-Gómez
    • 1
  • Moisés Almela-Sánchez
    • 2
  1. 1.Department of EnglishUniversity of MurciaMurciaSpain
  2. 2.Department of EnglishUniversity of MurciaMurciaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-92582-0
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-92581-3
  • Online ISBN 978-3-319-92582-0
  • Series Print ISSN 2199-0956
  • Series Online ISSN 2199-0964
  • Buy this book on publisher's site
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