research-article

Learning to detect english and hungarian light verb constructions

Authors:

Veronika Vincze,

István Nagy T.,

János ZsibritaAuthors Info & Claims

ACM Transactions on Speech and Language Processing (TSLP), Volume 10, Issue 2

Article No.: 6, Pages 1 - 25

https://doi.org/10.1145/2483691.2483695

Published: 21 June 2013 Publication History

Abstract

Light verb constructions consist of a verbal and a nominal component, where the noun preserves its original meaning while the verb has lost it (to some degree). They are syntactically flexible and their meaning can only be partially computed on the basis of the meaning of their parts, thus they require special treatment in natural language processing. For this purpose, the first step is to identify light verb constructions.

In this study, we present our conditional random fields-based tool—called FXTagger—for identifying light verb constructions. The flexibility of the tool is demonstrated on two, typologically different, languages, namely, English and Hungarian. As earlier studies labeled different linguistic phenomena as light verb constructions, we first present a linguistics-based classification of light verb constructions and then show that FXTagger is able to identify different classes of light verb constructions in both languages.

Different types of texts may contain different types of light verb constructions; moreover, the frequency of light verb constructions may differ from domain to domain. Hence we focus on the portability of models trained on different corpora, and we also investigate the effect of simple domain adaptation techniques to reduce the gap between the domains. Our results show that in spite of domain specificities, out-domain data can also contribute to the successful LVC detection in all domains.

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Cited By

Wiegand MSchulder MRuppenhofer J(2023)Determining sentiment views of verbal multiword expressions using linguistic featuresNatural Language Engineering10.1017/S1351324923000153(1-38)Online publication date: 15-May-2023
https://doi.org/10.1017/S1351324923000153
Shvets AWanner L(2022)The Relation Dimension in the Identification and Classification of Lexically Restricted Word Co-Occurrences in Text CorporaMathematics10.3390/math1020383110:20(3831)Online publication date: 17-Oct-2022
https://doi.org/10.3390/math10203831
Pinto DPriego B(2020)Using automatic constructed thesauri instead of dictionaries in the verbal phraseological units validation taskJournal of Intelligent & Fuzzy Systems10.3233/JIFS-179872(1-10)Online publication date: 12-Jun-2020
https://doi.org/10.3233/JIFS-179872
Show More Cited By

Index Terms

Learning to detect english and hungarian light verb constructions
1. Applied computing
  1. Arts and humanities

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cover image ACM Transactions on Speech and Language Processing

ACM Transactions on Speech and Language Processing Volume 10, Issue 2

Special issue on multiword expressions: From theory to practice and use, part 1

June 2013

91 pages

ISSN:1550-4875

EISSN:1550-4883

DOI:10.1145/2483691

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Copyright © 2013 ACM.

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Publication History

Published: 21 June 2013

Accepted: 01 February 2013

Revised: 01 October 2012

Received: 01 June 2012

Published in TSLP Volume 10, Issue 2

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Cited By

Wiegand MSchulder MRuppenhofer J(2023)Determining sentiment views of verbal multiword expressions using linguistic featuresNatural Language Engineering10.1017/S1351324923000153(1-38)Online publication date: 15-May-2023
https://doi.org/10.1017/S1351324923000153
Shvets AWanner L(2022)The Relation Dimension in the Identification and Classification of Lexically Restricted Word Co-Occurrences in Text CorporaMathematics10.3390/math1020383110:20(3831)Online publication date: 17-Oct-2022
https://doi.org/10.3390/math10203831
Pinto DPriego B(2020)Using automatic constructed thesauri instead of dictionaries in the verbal phraseological units validation taskJournal of Intelligent & Fuzzy Systems10.3233/JIFS-179872(1-10)Online publication date: 12-Jun-2020
https://doi.org/10.3233/JIFS-179872
Priego Sánchez BPinto D(2019)An unsupervised method for automatic validation of verbal phraseological unitsJournal of Intelligent & Fuzzy Systems10.3233/JIFS-179009(1-7)Online publication date: 8-Apr-2019
https://doi.org/10.3233/JIFS-179009
Nagy T. IRácz AVincze V(2019)Detecting light verb constructions across languagesNatural Language Engineering10.1017/S1351324919000330(1-30)Online publication date: 15-Jul-2019
https://doi.org/10.1017/S1351324919000330
Schneider NDanchik EDyer CSmith N(2014)Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE GamutTransactions of the Association for Computational Linguistics10.1162/tacl_a_001762(193-206)Online publication date: Dec-2014
https://doi.org/10.1162/tacl_a_00176

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