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Digital Approaches to Analyzing and Translating Emotion: What Is Love? ...
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Digital Approaches to Analyzing and Translating Emotion: What Is Love? ...
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The Influence of Multilingualism and Mutual Intelligibility on Wikipedia Reading Behaviour: A Research Proposal ...
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Loose and tight languages: A typology based on associations between constructions and lexemes ...
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Loose and tight languages: A typology based on associations between constructions and lexemes ...
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A Refutation of Finite-State Language Models through Zipf’s Law for Factual Knowledge
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In: Entropy ; Volume 23 ; Issue 9 (2021)
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| 9 |
Analyzing brain networks in language and social tasks using data-driven approaches
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| 10 |
Multi-Word Terminology Extraction and Its Role in Document Embedding
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In: Electronic Theses and Dissertations (2021)
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The necessity modals have to, must, need to and should: using n-grams to help identify common and distinct semantic and pragmatic aspects. 11.2: 220-243
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In: ISSN: 1876-1933 ; EISSN: 1876-1941 ; Constructions and Frames ; https://hal.archives-ouvertes.fr/hal-02369306 ; Constructions and Frames, John Benjamins, 2019, 11, pp.220 - 243. ⟨10.1075/cf.00029.cap⟩ (2019)
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| 17 |
The necessity modals have to, must, need to and should: using n-grams to help identify common and distinct semantic and pragmatic aspects
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In: ISSN: 1876-1933 ; EISSN: 1876-1941 ; Constructions and Frames ; https://hal.archives-ouvertes.fr/hal-02501498 ; Constructions and Frames, John Benjamins, 2019, 11 (2), pp.220-243. ⟨10.1075/cf.00029.cap⟩ (2019)
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Abstract:
International audience ; When an ambiguous lexical item appears within a familiar string of words, it can instantly receive an appropriate interpretation from this context, thus being saturated by it. Such a context may also short-circuit illocutionary and other pragmatic aspects of interpretation. We here extract from the British National Corpus over 500 internally highly collocating and high-frequency lexical n-grams up to 5 words containing have to, must, need to and/or should. These contexts-as-constructions go some way toward allowing us to group these four necessity modals into clusters with similar semantic and pragmatic properties and to determine which of them is semantico-pragmatically most unlike the others. It appears that have to and need to cluster most closely together thanks to their shared environments (e.g., you may have/need to…, expressing contingent, mitigated necessity), while should has the largest share of unique n-grams (e.g., rhetorical Why shouldn't I…?, used as a defiant self-exhortation).
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; hierarchical clustering analysis; illocutionary force; intersubjectivity; lexically restricted saturation; mutual information; n-grams; necessity modals; short- circuiting
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URL: https://hal.archives-ouvertes.fr/hal-02501498/file/Cappelle_Depraetere_Lesuisse_2019_modal%20verb%20n-grams_author%20version.pdf
https://hal.archives-ouvertes.fr/hal-02501498/document
https://hal.archives-ouvertes.fr/hal-02501498
https://doi.org/10.1075/cf.00029.cap
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| 18 |
Unique information via dependency constraints
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In: Journal of Physics A: Mathematical and Theoretical, vol 52, iss 1 (2019)
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| 19 |
Information Across the Ecological Hierarchy
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In: Entropy ; Volume 21 ; Issue 10 (2019)
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| 20 |
Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson’s Disease
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In: Biosensors ; Volume 10 ; Issue 1 (2019)
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