Formal and functional factors in classifier choice: Evidence from American Sign Language and Danish Sign Language Article Swipe
Elisabeth Engberg-Pedersen
,
Diane Brentari
,
John M. Davis
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1515/opli-2025-0043
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1515/opli-2025-0043
Traditionally so-called classifiers in productively formed verbs of motion and location in sign languages are said to reflect the semantic class of the moving or located entity. The verbs can include one of several different classifiers about humans and anthropomorphic beings. In this article, we examine phonological and semantic factors that influence the choice of classifier in elicited narratives in two sign languages, Danish Sign Language and American Sign Language. An analysis of classifiers expressed by handshapes of different phonological complexity shows quantitative differences between the two languages, but no influence on the choice of classifier depending on their phonological features. By contrast, a comparison of classifiers used about types of events in the languages reveals that the seemingly identical classifiers have language-specific meanings despite their iconicity. Nevertheless, they share features: hand-internal movement turns out to be statistically significantly correlated with voluntary actions in both languages. Two analyses of the verbs’ sequential behavior, in serial verb constructions and in verb doubling, show no differences between the classifiers used in either language as well as many structural similarities between the languages. The clearest difference between the languages is found at the lexical (unpredictable) level.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/opli-2025-0043
- OA Status
- gold
- Cited By
- 1
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408915073
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408915073Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1515/opli-2025-0043Digital Object Identifier
- Title
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Formal and functional factors in classifier choice: Evidence from American Sign Language and Danish Sign LanguageWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Elisabeth Engberg-Pedersen, Diane Brentari, John M. DavisList of authors in order
- Landing page
-
https://doi.org/10.1515/opli-2025-0043Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1515/opli-2025-0043Direct OA link when available
- Concepts
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Danish, Linguistics, Sign language, Sign (mathematics), Classifier (UML), American Sign Language, Language interpretation, Psychology, Computer science, Artificial intelligence, Philosophy, Mathematics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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49Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.two | 61, 87 |
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| abstract_inverted_index.verb | 156, 160 |
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| abstract_inverted_index.shows | 82 |
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| abstract_inverted_index.verbs | 7, 29 |
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| abstract_inverted_index.moving | 24 |
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| abstract_inverted_index.factors | 50 |
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| abstract_inverted_index.lexical | 191 |
| abstract_inverted_index.located | 26 |
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| abstract_inverted_index.several | 34 |
| abstract_inverted_index.Abstract | 0 |
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| abstract_inverted_index.Language | 66 |
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| abstract_inverted_index.analysis | 72 |
| abstract_inverted_index.article, | 44 |
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| abstract_inverted_index.elicited | 58 |
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| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.9187278 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |