Usage probability and subject–object asymmetries in Korean case ellipsis
Experiments with subject case ellipsis
Bibliographic Data
| ID | 10139160 |
|---|---|
| Authors | Hanjung Lee, Han‐jung Lee (0000-0002-1317-1752, Sungkyunkwan University, corresponding author) |
| Year | 2015 |
| Volume | 52 |
| Issue | 1 |
| Pages | 70-110 |
| Publication date | 2015-06-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0022-2267 • E-ISSN: 1469-7742 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0022226715000079 |
| OpenAlex | W2270219457 |
| Language | EN |
| Citations received | 3 |
| References cited | 36 |
Case ellipsis for subjects and objects in Korean exhibits several clear asymmetries that have not received a unified explanation. This paper provides a new, probability-based analysis of variable case marking that can account for three types of subject–object asymmetries noted in the literature in terms of asymmetries in the usage probability of the properties of argument NPs in their syntactic or discourse context. This account captures the key generalizations underlying the asymmetries that case ellipsis for wh -word subjects, subjects in OSV sentences and non-specific subjects is unacceptable, whereas case ellipsis for objects with similar properties is acceptable; it also explains why sentences with a subject NP not marked for case that have been predicted to be syntactically ill-formed by previous syntactic accounts are judged acceptable when the subject represents expected, predictable information in context. These results provide strong support for the view that native speakers’ knowledge of grammar includes not only some degree of knowledge of probabilistic information but also access to fine-grained predictability and probabilities
Argument (complex analysis · Context (archaeology · Ellipsis (linguistics · Linguistics · Natural language processing · Object (grammar · Predictability · Statistics · Subject (documents · Artificial Intelligence · Computer Science · History · Mathematics · Natural Language Processing Techniques · Neurobiology of Language and Bilingualism · Philosophy · Syntax, Semantics, Linguistic Variation
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| Citations per year | 0.43 |
|---|---|
| Citation span | 2019 - 2022 (4) |
| Highly cited | No |