The Light Verb Construction in Japanese

The role of the verbal noun

| University of Victoria
ISBN 9789027227508 (Eur) | EUR 105.00
ISBN 9781556199134 (USA) | USD 158.00
ISBN 9789027294913 | EUR 105.00 | USD 158.00
This study deals with the so-called Light Verb Construction in Japanese, which consists of the verb “suru” ‘do’ and an accusative (“o”) marked verbal noun (VN). There have been unresolved debates on the role of “suru”: whether “suru” in “VN-o suru” functions as a light or heavy verb. The previous studies attempt to disambiguate “VN-o suru” formations by relying solely on examining whether “suru” can be thematically light or not. This study argues that the ambiguity does not stem from the ‘weight’ of “suru” but from its accusative phrase: whether it is headed by a thematic (complex event) VN or non-thematic (simple event) VN. Using a principles and parameters approach and employing ideas from conceptual semantics and theories of aspect, this study demonstrates that the characterization of “VN-o suru” formations arises not from the dichotic behavior of “suru” but from the dichotic behavior of the accusative phrase.
[Linguistik Aktuell/Linguistics Today, 29]  2000.  xiv, 232 pp.
Publishing status: Available
Table of Contents
List of Tables
1. Introduction
2. Types of Nominals
3. Mono- vs. Bi-Predicational VN-o Suru
4. Control Structure
5. A Conceptual Semantic Analysis
6. A Syntactic Analysis
7. The Unaccusative Hypothesis
8. Closing Remarks
“This is a fine work exploring the interesting possibility of shifting the focus of research from 'suru' to VN, and presenting analyses of VN-o 'suru' forms from various perspectives while proposing several possible approaches. It provides useful data and food for thought for those working on LVCs not only in Japanese but in other languages.

Cited by

Cited by 5 other publications

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Fazly, Afsaneh, Suzanne Stevenson & Ryan North
2007. Automatically learning semantic knowledge about multiword predicates. Language Resources and Evaluation 41:1  pp. 61 ff. Crossref logo
Men, Haiyan
2018.  In Vocabulary Increase and Collocation Learning,  pp. 9 ff. Crossref logo
Nematzadeh, Aida, Afsaneh Fazly & Suzanne Stevenson
2013.  In Cognitive Aspects of Computational Language Acquisition [Theory and Applications of Natural Language Processing, ],  pp. 235 ff. Crossref logo
Sundquist, John D.
2020. Productivity, richness, and diversity of light verb constructions in the history of American English. Journal of Historical Linguistics 10:3  pp. 349 ff. Crossref logo

This list is based on CrossRef data as of 12 september 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects & Metadata
BIC Subject: CF – Linguistics
BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  99046742 | Marc record