20 research outputs found

    Priming pragmatic reasoning in the verification and evaluation of comparisons

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    Most studies on scalar implicature focus on the lexical scale ‘some’ vs ‘all’, which tends to elicit high rates of pragmatic responses [1-4]. Here we examined an understudied scale formed by two syntactic constructions: categorizations and comparisons (e.g., ‘A robin is a bird’ vs ‘A robin is like a bird’). Unlike ‘some’ statements, superordinate comparisons have been found to elicit high rates of logical responses [5], even though they are under-informative when interpreted pragmatically (SI: A robin is not a bird). Following recent work on enrichment priming [6-9], we predicted that ‘some’ and ‘all’ statements would introduce an informativity bias in sentence verification and evaluation, increasing pragmatic responses to under-informative comparisons

    Creación y Simulación de Metodologías de Análisis, Clasificación e Integración de Nuevos Requerimientos a Software Propietario

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    La priorización de nuevos requerimientos a implementar en un software propietario es un punto fundamental para su mantenimiento, la conservación de la calidad, observación de las reglas de negocio y los estándares de la empresa. Aunque existen herramientas de priorización basadas en técnicas probadas y reconocidas, las mismas requieren una calificación previa de cada requerimiento. Si la empresa cuenta con solicitudes provenientes de varios clientes de un mismo producto, aumentan los factores que afectan a la empresa, las herramientas disponibles no contemplan estos aspectos y hacen mucho más compleja la tarea de calificación. Este trabajo de investigación abarca la realización de un relevamiento de los métodos de priorización y selección de nuevos requerimientos utilizados por empresas de la zona de Rosario, y la definición de una metodología para la selección un nuevo requerimiento, que implica el análisis y evaluación de todas las implicaciones sobre el producto de software y la empresa, respetando sus reglas de negocio. La metodología creada conduce a la definición de los procesos para la construcción de una herramienta de calificación y priorización de nuevos requerimientos en software propietario que tiene solicitudes de varios clientes al mismo tiempo, con instrumentos de calificación que consideran todos los aspectos relacionados, proveerá técnicas de priorización actuales y emitirá informes personalizados según diferentes perspectivas de la empresa.Eje: Ingeniería de SoftwareRed de Universidades con Carreras en Informática (RedUNCI

    The development of simile comprehension: From similarity to scalar implicature

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    Poster for CUNY 202

    The Development of Simile Comprehension: From Similarity to Scalar Implicature

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    Similes require two different pragmatic skills: appreciating the intended similarity and deriving a scalar implicature (e.g., “Lucy is like a parrot” normally implies that Lucy is not a parrot), but previous studies overlooked this second skill. In Experiment 1, preschoolers (N = 48; ages 3–5) understood “X is like a Y” as an expression of similarity. In Experiment 2 (N = 99; ages 3–6, 13) and Experiment 3 (N = 201; ages 3–5 and adults), participants received metaphors (“Lucy is a parrot”) or similes (“Lucy is like a parrot”) as clues to select one of three images (a parrot, a girl or a parrot-looking girl). An early developmental trend revealed that 3-year-olds started deriving the implicature “X is not a Y,” whereas 5-year-olds performed like adults

    Word Order Typology Interacts With Linguistic Complexity: A Cross‐Linguistic Corpus Study

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    Supplementary materials, data and code for Word Order Typology Interacts With Linguistic Complexity: A Cross‐Linguistic Corpus Study. Cognitive Science. 2020. (https://onlinelibrary.wiley.com/doi/abs/10.1111/cogs.12822

    Contrastive inferences are sensitive to informativity expectations, adjective semantics and visual salience

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    People sometimes derive contrastive inferences from adjective-modified noun phrases. For example, the description ‘the short pencil’ would normally be understood to contrast a shorter and a longer pencil. In a series of eye-tracking studies, Sedivy (2003, 2004) found that scalar and material adjectives elicited contrastive inferences, but color adjectives did not, which she interpreted as a difference in informativity expectations. Here we assessed whether not only pragmatics, but also semantic and perceptual factors contribute to the derivation of contrastive inferences. We used Sedivy’s eye-tracking paradigm to compare the interpretation of scalar, material and color adjectives, employing new analyses to test the view that different fixation patterns should be observed on the target and the competitor objects depending on the semantics of the adjective and the visual salience of the encoded property. The results support our hypotheses, confirming that all three adjective types can elicit contrastive inferences, but their derivation is shaped differently by pragmatic, semantic and perceptual factors
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