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Lexical Collocation Analysis - Advances and Applications (Hardcover, 1st ed. 2018)
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Lexical Collocation Analysis - Advances and Applications (Hardcover, 1st ed. 2018)
Series: Quantitative Methods in the Humanities and Social Sciences
Expected to ship within 10 - 15 working days
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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.
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