A scalable approach to the extraction of constructions: Replicable (semi-) automatic techniques for analyzing linguistic patterns (Workshop)

Dozent(en)Prof. Dr. Christopher Kyle (University of Hawaii at Manoa)
AnsprechpartnerKarin Madlener und David Schreiber
Emailkarin.madlener@unibas.ch, david.schreiber@unibas.ch
Anmeldung per Email ist erforderlich.
Termin29. März 2017 14:00-16:30 Uhr
OrtKollegiengebäude, room 103

A scalable approach to the extraction of constructions: Replicable (semi-) automatic techniques for analyzing linguistic patterns


Constructions are form-meaning pairs that exist at all levels of language (Goldberg, 1995). Constructions in general, and verb argument constructions in particular have been of considerable interest in L1 and L2 research from a usage-based perspective (e.g., Behrens et al., 2000; Ellis & Ferreira-Junior, 2009; Goldberg, et al., 2004; Madlener, 2015). While some linguistic patterns (e.g., fixed multiword sequences) are easily identifiable using common corpus tools/techniques, the extraction of VACs has been much more labor intensive. For this reason, most investigations of VAC use tend to explore relatively small datasets and/or a limited number of constructions (e.g., Gries & Stefanowitsch, 2004; Römer, O’Donnell, & Ellis, 2015).

An important factor that has limited large scale VAC analysis has been the nature and reliability of syntactic parsers. Over the past ten years however, there has been an increased interest in dependency parsing (e.g., Briscoe, 2006; Nivre, Hall, & Nilsson, 2006) and advances in syntactic parsing (e.g., Chen & Manning, 2014) have significantly increased parsing accuracy. These two factors have paved the way for large-scale, comprehensive analyses of VAC use (Kyle, 2016). Such analyses have recently comprehensively cataloged VAC use in large reference corpora such as the circa 450-million-word Corpus of Contemporary American English (COCA; Davies, 2010). Automatic VAC analysis has also been applied to learner corpora (Kyle, 2016; Kyle & Crossley, 2015; 2016), allowing for learner VAC use to be analyzed via reference corpus frequency and strength of association.

In this workshop, I will a) discuss approaches to the automatic extraction of linguistic patterns, b) report on two projects that investigate verb argument construction (VAC) use longitudinally and across proficiency levels, and c) provide a hands-on demonstration of the use of the Tool for the Automatic Analysis of Syntactic Sophistication and Complexity (TAASSC).



Prof. Dr. Kristopher Kyle ist aktuell Assistenzprofessor am Department of Second Language Studies der University of Hawaii at Manoa, USA. Er promovierte zuvor an der Georgia State University in Atlanta, USA. Prof. Kyle beschäftigt sich mit korpus- und computerlinguistischen Fragestellungen in verschiedenen Bereichen des Erst- und Zweisprachgebrauchs und -erwerbs, z.B. mit syntaktischer Komplexität, lexikalischer Variabilität, textueller Kohäsion und (semi-) automatischen Bewertungsmöglichkeiten für Texte. Er hat selbst einschlägige korpuslinguistische Tools entwickelt.

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