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Make Short Answers Shorter

Support for the In Situ Approach

Bibliographic Data

ID4853558
AuthorsJun Abe (0000-0002-9991-9548, 5‐14‐8 Bessho #201 Minami‐ku Saitama‐shi 336‐0021 Japan, corresponding author)
Year2016
Volume19
Issue3
Pages223-255
Publication date2016-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSyntax (JOURNAL)
Journal identifiersISSN: 1368-0005 • E-ISSN: 1467-9612
PublisherWiley (PUBLISHER • GB)
DOI10.1111/synt.12124
OpenAlexW2471379727
LanguageEN
Citations received14
References cited19

The standard approach for short answers is the one, like Merchant's (2004), in which the remnant phrase undergoes focus movement to a peripheral position before deletion takes place. In this article, I argue against this approach, supporting instead what we may call the in situ approach to short answers, according to which the remnant phrase does not undergo focus movement to a peripheral position but rather simply stays in its original position. Given the inescapable problem in testing island sensitivity in awh-movement language such as English, this article investigates short answers in Japanese, awh-in situ language. I propose that Japanese short answers are directly derived from what Hiraiwa & Ishihara (2002) call theno dain situ focus construction. This analysis immediately explains the island insensitivity of Japanese short answers. I also argue that the identification condition operative for licensing deletion in short answers is semantic in nature, hence compatible with the in situ approach that necessarily incorporates deletion of nonconstituents. Finally, I argue that the two strategies provided by Merchant (2004) for getting over the inescapable problem in testing island sensitivity in English are ill advised

Aesthetics · Economics · Focus (optics · Geography · Identification (biology · In situ · Linguistics · Movement (music · Natural language processing · Phrase · Position (finance · Computer Science · Language, Discourse, Communication Strategies · Natural Language Processing Techniques · Philosophy · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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Unique citing works14
Citations per year1,75
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 14

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