On the Cross-Linguistic Interpretation of Embedded Tenses Article Swipe
Yūsuke Kubota
,
Jungmee Lee
,
Anastasia Smirnova
,
Judith Tonhauser
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.18148/sub/2009.v13i2.553
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.18148/sub/2009.v13i2.553
We propose a semantic analysis of cross-linguistic variation in the distribution and interpretation of tenses embedded in propositional attitude complements and temporal adjunct clauses in English, Japanese and Russian. We compare our analysis to previous ones proposed by Ogihara (1994, 1996) and Arregui and Kusumoto (1998), which attribute the variation to syntactic differences between the languages, and argue that the semantic analysis is preferable on both empirical and conceptual grounds.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://ling.ohio-state.edu/~judith/kubota-etal-sub13.pdf
- OA Status
- green
- Cited By
- 35
- References
- 13
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2130632363
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2130632363Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18148/sub/2009.v13i2.553Digital Object Identifier
- Title
-
On the Cross-Linguistic Interpretation of Embedded TensesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-25Full publication date if available
- Authors
-
Yūsuke Kubota, Jungmee Lee, Anastasia Smirnova, Judith TonhauserList of authors in order
- Landing page
-
https://ling.ohio-state.edu/~judith/kubota-etal-sub13.pdfPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.18148/sub/2009.v13i2.553Direct OA link when available
- Concepts
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Linguistics, Variation (astronomy), Interpretation (philosophy), Dependent clause, Adjunct, Computer science, Semantics (computer science), Linguistic analysis, Semantic interpretation, Natural language processing, Artificial intelligence, Philosophy, Sentence, Physics, Programming language, AstrophysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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35Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 2, 2021: 1, 2020: 2, 2019: 1, 2018: 1Per-year citation counts (last 5 years)
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(1998), | 45 |
| abstract_inverted_index.Arregui | 42 |
| abstract_inverted_index.Ogihara | 38 |
| abstract_inverted_index.adjunct | 22 |
| abstract_inverted_index.between | 53 |
| abstract_inverted_index.clauses | 23 |
| abstract_inverted_index.compare | 30 |
| abstract_inverted_index.propose | 1 |
| abstract_inverted_index.English, | 25 |
| abstract_inverted_index.Japanese | 26 |
| abstract_inverted_index.Kusumoto | 44 |
| abstract_inverted_index.Russian. | 28 |
| abstract_inverted_index.analysis | 4, 32, 61 |
| abstract_inverted_index.attitude | 18 |
| abstract_inverted_index.embedded | 15 |
| abstract_inverted_index.grounds. | 69 |
| abstract_inverted_index.previous | 34 |
| abstract_inverted_index.proposed | 36 |
| abstract_inverted_index.semantic | 3, 60 |
| abstract_inverted_index.temporal | 21 |
| abstract_inverted_index.attribute | 47 |
| abstract_inverted_index.empirical | 66 |
| abstract_inverted_index.syntactic | 51 |
| abstract_inverted_index.variation | 7, 49 |
| abstract_inverted_index.conceptual | 68 |
| abstract_inverted_index.languages, | 55 |
| abstract_inverted_index.preferable | 63 |
| abstract_inverted_index.complements | 19 |
| abstract_inverted_index.differences | 52 |
| abstract_inverted_index.distribution | 10 |
| abstract_inverted_index.propositional | 17 |
| abstract_inverted_index.interpretation | 12 |
| abstract_inverted_index.cross-linguistic | 6 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.96355047 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |