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1
A Structured Distributional Model of Sentence Meaning and Processing
In: ISSN: 1351-3249 ; EISSN: 1469-8110 ; Natural Language Engineering ; https://hal.archives-ouvertes.fr/hal-02151765 ; Natural Language Engineering, Cambridge University Press (CUP), 2019, 25, no. 4 (2019)
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2
Distributional Semantics Meets Construction Grammar. Towards a Unified Usage-Based Model of Grammar and Meaning
In: First International Workshop on Designing Meaning Representations (DMR 2019) ; https://hal.archives-ouvertes.fr/hal-02146537 ; First International Workshop on Designing Meaning Representations (DMR 2019), Aug 2019, Florence, Italy (2019)
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3
Gradience in subcategorization? : Locative phrases with Italian verbs of motion
In: Studia linguistica. - Oxford [u.a.] : Wiley-Blackwell 73 (2019) 2, 369-397
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4
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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5
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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6
A Structured Distributional Model of Sentence Meaning and Processing ...
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7
Multimodal Event Knowledge in Online Sentence Comprehension: The Influence of Visual Context on Anticipatory Eye Movements
In: Psychology Publications (2019)
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8
Fake news detection
In: http://etd.adm.unipi.it/theses/available/etd-10212019-005519/ (2019)
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9
How do children come to master sentences? The impact of animacy and number dissimilarities on the comprehension of SVO vs. OVS simple transitive sentences in German-speaking preschool children
In: http://etd.adm.unipi.it/theses/available/etd-05072019-104703/ (2019)
Abstract: How do children come to master sentences? The key to sentence comprehension is the so-called thematic role assignment, a process that allows us to figure out the “who does what to whom” hiding behind every utterance. Typologically different languages encode this kind of information in various ways. One of the most visible features in sentence interpretation is word order. Word order though, can sometimes be misleading. What happens for example in those languages that allow various alternative word orders? German for instance is one of those. Besides canonical SVO-structures, it also allows non-canonical OVS-structures, which make word order a rather unreliable cue for thematic role assignment. Being German a case-marked language, it uses case information to reveal relations between sentential arguments. Case is indeed the most reliable cue for a correct sentence interpretation. However, as previous research has shown (e.g. Mills 1977; MacWhinney 1978; Clahsen 1984; Poeppel & Wexler 1993; Schipke et al. 2012), case sensitivity only emerges at later stages in language development. How and when do young German children come to comprehend non-canonical sentences then? Other earlier accessible factors, which have been shown to support correct sentence comprehension in German, are animacy and number information (Brandt & Höhle 2010; Stegenwallner-Schütz & Adani 2017, Adani et al. 2017). The main purpose of the current study is to investigate how animacy and number dissimilarities interact with word order in supporting the correct interpretation of simple transitive sentences by German-speaking children, before they actually develop a fully-fledged sensitivity to case marking.
Keyword: FILOLOGIA; LETTERATURA E LINGUISTICA
URL: http://etd.adm.unipi.it/theses/available/etd-05072019-104703/
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10
La metonimia logica: uno studio sull'italiano
In: http://etd.adm.unipi.it/theses/available/etd-10172019-100601/ (2019)
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11
A distributional account of metonymy
In: http://etd.adm.unipi.it/theses/available/etd-10212019-154642/ (2019)
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12
What Do Neural Networks Actually Learn, When They Learn to Identify Idioms?
In: Proceedings of the Society for Computation in Linguistics (2019)
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