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DIGITAL TECHNOLOGIES FOR GRAMMATICAL ERROR CORRECTION: DEEP LEARNING METHODS & SYNTACTIC N-GRAMS
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In: Мова; No. 35 (2021) ; Мова; № 35 (2021) ; 2414-9489 ; 2307-4558 (2021)
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The Cultural Outcomes of Social Movements: A Computational Linguistics Approach
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In: Partecipazione e conflitto; Vol. 14, No. 3 (2021). Special Issue on: "When, where and which kind of collective action matters?"; 1151-1179 (2021)
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Assembling Syntax: Modeling Constituent Questions in a Grammar Engineering Framework
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Une approche computationnelle de la complexité linguistique par le traitement automatique du langage naturel et l'oculométrie
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‘Minds’ in ‘Homer’: A quantitative psycholinguistic comparison of the Iliad and Odyssey
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French de and en as expressions of the genitive case: a unified analysis within LFG and computational implementation in XLE
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In: DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada, Vol 37, Iss 1 (2021) (2021)
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Sujeito oculto às claras: uma abordagem descritivo-computacional / Omitted subjects revealed: a quantitative-descriptive approach
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In: Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 1033-1058 (2021) (2021)
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Intention and Attention in Image-Text Presentations: A Coherence Approach
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In: Experiments in Linguistic Meaning; Vol 1 (2021); 273-283 ; 2694-1791 (2021)
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Cross-linguistic scope ambiguity: An investigation of English, Spanish, and Mandarin
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 572–586 ; 2473-8689 (2021)
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Abstract:
Faced with a sentence like Every horse didn't jump over the fence as a description of a scenario in which one out of two horses jumped, adults readily endorse the utterance as a good description, while children overwhelmingly reject it. However, systematic changes to the task setup lead to marked increases in children's endorsement rates (Musolino & Lidz 2006; Viau et al. 2010). Savinelli et al.(2017) use a computational cognitive model of utterance endorsement in truth-value judgment tasks to analytically demonstrate that both children and adults' interpretation behavior is affected by pragmatic manipulations. We test a clear prediction of these models: manipulating the conversational goal (or Question Under Discussion) should lead to clear effects on utterance endorsement. In addition to investigating the predictions for English, we also investigate Spanish and Mandarin, where the status of the relevant ambiguity may be less clear.
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Keyword:
computational linguistics; Mandarin; pragmatics; questions under discussion; Rational Speech Act models; scope ambiguity; semantics; Spanish
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URL: http://journals.linguisticsociety.org/proceedings/index.php/PLSA/article/view/4992 https://doi.org/10.3765/plsa.v6i1.4992
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Universals of word order reflect optimization of grammars for efficient communication.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 5 (2020)
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The Design of Online Environments (Political Hashtags) and the Quality of Democratic Discourse At-Scale
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ПРИМЕНЕНИЕ ТЕХНОЛОГИИ WORD2VEC В ЗАДАЧЕ ВЫДЕЛЕНИЯ ИНВЕРТОРОВ ТОНАЛЬНОСТИ ... : APPLYING WORD2VEC TECHNOLOGY TO SHIFTER EXTRACTION TASK ...
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Living Machines atypical animacy dataset ...
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: British Library, 2020
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A Corpus Approach to Roman Law Based on Justinian’s Digest ...
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Machine learning methods for vector-based compositional semantics ...
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Learning meaning representations for text generation with deep generative models ...
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Cao, Kris. - : Apollo - University of Cambridge Repository, 2020
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LitCrit: exploring intentions as a basis for automated feedback on Related Work. ...
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Modelling speaker adaptation in second language learner dialogue ...
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Code and data accompanying the study "Modeling word trees in historical linguistics" ...
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Code and Tutorial Accompanying "Computer-Assisted Language Comparison: State of the Art" ...
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