Collocation Extraction Based On Syntactic Parsing
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Syntax-Based Collocation Extraction
Author: Violeta Seretan
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-01-04
Syntax-Based Collocation Extraction is the first book to offer a comprehensive, up-to-date review of the theoretical and applied work on word collocations. Backed by solid theoretical results, the computational experiments described based on data in four languages provide support for the book’s basic argument for using syntax-driven extraction as an alternative to the current cooccurrence-based extraction techniques to efficiently extract collocational data. The work described in Syntax-Based Collocation Extraction focuses on using linguistic tools for corpus-based identification of collocations. It takes advantage of recent advances in parsing to propose a novel deep syntactic analytic collocation extraction that has applicability to a range of important core tasks in Computational Linguistics. The book is useful for anyone interested in computational analysis of texts, collocation phenomena, and multi-word expressions in general.
Collocation Extraction Based on Syntactic Parsing
Collocations (typical word associations like "to meet a condition", "to believe firmly", "highly controversial", "a deep concern") are pervasive in language. Due to their encoding idiomaticity, collocations are of paramount importance for text production tasks, for Foreign Language Learning as well as for Natural Language Processing applications such as machine translation. This thesis tackles the problem of automatic acquisition of collocations from text corpora, and proposes a methodological framework for their identification based on syntactic criteria. It is shown that (1) the results obtained are more reliable than those of standard methods based on linear proximity constraints, and (2) the syntax-based approach enables a more advanced treatment of these expressions, which is now largely absent in the related computational work: extraction of n-ary collocations (n>2), induction of syntactic patterns for collocations, Web-based extraction of collocations, and translation of collocations.
Collocation Extraction Based on Syntactic Parsing
Collocations (typical word associations like "to meet a condition", "to believe firmly", "highly controversial", "a deep concern") are pervasive in language. Due to their encoding idiomaticity, collocations are of paramount importance for text production tasks, for Foreign Language Learning as well as for Natural Language Processing applications such as machine translation. This thesis tackles the problem of automatic acquisition of collocations from text corpora, and proposes a methodological framework for their identification based on syntactic criteria. It is shown that (1) the results obtained are more reliable than those of standard methods based on linear proximity constraints, and (2) the syntax-based approach enables a more advanced treatment of these expressions, which is now largely absent in the related computational work: extraction of n-ary collocations (n>2), induction of syntactic patterns for collocations, Web-based extraction of collocations, and translation of collocations.