JOURNAL ARTICLE
Projection as a determinant of pronominal reference: a study of zero and personal pronouns in Haruki Murakami's 1Q84.
Published In: Journal of Literary Semantics, 2026, v. 55, n. 1. P. 23 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sumidai, Yasunori 3 of 3
Abstract
It is commonly assumed that the subject of a sentence is the preferred antecedent for a subsequent pronominal or zero anaphor. However, in some contexts the antecedent is instead the object, which may lead to misinterpretation. This paper aims to identify factors that influence the interpretation of referring expressions other than subjecthood, as well as the conditions under which these factors operate. In Haruki Murakami's 1Q84, the interpretation of referential forms appears to be influenced by projection, that is, the adoption of a character's point of view. Projection is often signalled by linguistic cues such as a verb of perception in the preceding sentence, expressions of uncertainty or intentionality, a verb in the present tense, and the use of the durative aspect in the sentence itself. Even when the character being projected is not the subject of the preceding sentence, or the referent of a pronominal or zero anaphor is not the character onto whom the narrator projects, referent identification seems to be governed primarily by the point of view of a projected character who holds the status of a main character. The English translations indicate that while certain factors make ambiguous forms more likely to refer to the subject of the previous sentence, point of view also plays a role in referent identification in English. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Literary Semantics. 2026/04, Vol. 55, Issue 1, p23
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2026
- ISSN:0341-7638
- DOI:10.1515/jls-2026-2006
- Accession Number:192932134
- Copyright Statement:Copyright of Journal of Literary Semantics is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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