Search results for "Linguistics"

showing 10 items of 8097 documents

Metalinguistic Development in First-Language Acquisition

1997

At a very early age, the child is able to manipulate language appropriately, both in its comprehension and its production. Later comes the ability to reflect upon and deliberately control its use. The emergence of these metalinguistic abilities must be distinguished from that of ordinary verbal communication. The key questions concerning this topic are: What is metalinguistics? What knowledge do metalinguistic abilities require? Are they conscious activities? And how do they develop? (also see the review by Tunmer in Volume 2 and by Nicholson in this volume.)

ComprehensionNonverbal communicationPhonemic awarenessDeep linguistic processingPhonological awarenessMetalinguisticsControl (linguistics)PsychologyFirst language acquisitionCognitive psychology
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Levels of comprehension of scientific prose: the role of text variables

1998

Abstract This research investigates the role played on shallow and deep levels of comprehension by textual changes that are aimed at: (a) improving the relationships within text ideas, and (b) producing better links between text ideas and the reader's knowledge. Four versions of a long physics passage were elaborated combining both kinds of textual changes. Four groups of tenth graders were each given one of the four versions. Different measures representative of these levels of comprehension were taken: getting main ideas, recall, and problem solving. The results indicated that: (a) main idea performance was affected by improving the relationships within text ideas, (b) both textual change…

ComprehensionReading comprehensionRecallText structureDevelopmental and Educational PsychologyMathematics educationLinguisticsEducationLearning and Instruction
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Local operators to detect regions of interest

1997

The performance of a visual system is strongly influenced by the information processing that is done in the early vision phase. The need exists to limit the computation on areas of interest to reduce the total amount of data and their redundancy. This paper describes a new method to drive the attention during the analysis of complex scenes. Two new local operators, based on the computation of local moments and symmetries, are combined to drive the selection. Experimental results on real data are also reported. © 1997 Elsevier Science B.V.

ComputationEarly visioncomputer.software_genreMachine learningFacial recognition systemSegmentationArtificial IntelligenceRedundancy (engineering)Selection (linguistics)AttentionSegmentationLimit (mathematics)Face recognitionElectrical and Electronic Engineering1707MathematicsSettore INF/01 - Informaticabusiness.industryInformation processingSignal ProcessingSymmetry operatorComputer Vision and Pattern RecognitionArtificial intelligenceData miningbusinesscomputerSoftwarePattern Recognition Letters
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Software Architectures for Human-Machine Interaction Using Natural Language

Il linguaggio naturale rappresenta un sistema di comunicazione a carattere inferenziale in opposizione ai sistemi di comunicazione a codice che non prevedono una forma di ragionamento intelligente da parte del ricevente, ma si basano sul riconoscimento di patterns dell'informazione. In un sistema di comunicazione di tipo inferenziale, infatti, si parte dal presupposto che il ricevente abbia una certa "intelligenza" e sia, quindi, capace di comprendere, elaborare ed inferire il contenuto informativo di una comunicazione attraverso ragionamenti su un background di conoscenze (come modelli di mondo e di linguaggio) condivisi sia dalla sorgente che dal destinatario. L'attività di ricerca, svolt…

Computational LinguisticSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNEELHCIComputational Linguistics; Informal Language; Semantic Annotation; Fluid Construction Grammar; Ontology; NLP; NLU; QA; NEEL; HCI;Semantic AnnotationOntologyInformal LanguageNLUQANLPFluid Construction Grammar
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Local Total Variation Bounded Methods for Hyperbolic Conservation Laws

2003

Computational MathematicsConservation lawVariation (linguistics)Bounded functionMathematical analysisGeneral EngineeringComputer Science ApplicationsMathematicsJournal of Computational Methods in Sciences and Engineering
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On a new centered strategy to control the accuracy of weighted essentially non oscillatory algorithm for conservation laws close to discontinuities

2020

Computational MathematicsNumerical AnalysisConservation lawApplied MathematicsApplied mathematicsClassification of discontinuitiesControl (linguistics)AnalysisMathematicsNumerical Methods for Partial Differential Equations
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L'estrazione automatica dei ruoli semantici corradicali. The importance of being Cognate

2022

This study will introduce a tool – termed NLPYTALY – for the automatictreatment of naturally-occurring texts in Italian. The tool distinguishesconstructs with an ordinary verb from those with a support verb. Mean-ing is rendered by using cognate (i.e. etymologically related) semantic roles (CSR), which differ from other roles because they are expressed withthe content morpheme of the predicate licensing arguments. CSRs offer anumber of advantages: they can be semi-automatically derived and use the who-does-what model. Besides, they facilitate the detection of anaphoric chains and produce a foreground/background opposition of the namedentities. Finally, they permit the construction of a chro…

Computational linguistics natural language understanding semantic roles non-verbal predication automatic text summarizationSettore L-LIN/01 - Glottologia E Linguistica
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Computational Modelling of Public Policy: Reflections on Practice

2018

Computational models are increasingly being used to assist in developing, implementing and evaluating public policy. This paper reports on the experience of the authors in designing and using computational models of public policy (‘policy models’, for short). The paper considers the role of computational models in policy making, and some of the challenges that need to be overcome if policy models are to make an effective contribution. It suggests that policy models can have an important place in the policy process because they could allow policy makers to experiment in a virtual world, and have many advantages compared with randomised control trials and policy pilots. The paper then summari…

Computational modelCalibration and validationProcess (engineering)Computer science05 social sciencesControl (management)050401 social sciences methodsGeneral Social SciencesPublic policy02 engineering and technologyDomain (software engineering)0504 sociologyRisk analysis (engineering)020204 information systemsComponent (UML)0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)Abstraction (linguistics)
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A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning

2016

Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…

Computer Networks and CommunicationsComputer scienceDecision MakingModels NeurologicalAction PotentialsContext (language use)Insect mushroom bodies bio-inspired control spiking neurons02 engineering and technologyVariation (game tree)Motor Activitybio-inspired control03 medical and health sciences0302 clinical medicineRewardSubsequence0202 electrical engineering electronic engineering information engineeringAnimalsLearningComputer SimulationMushroom BodiesTRACE (psycholinguistics)NeuronsSequencebio-inspired control; Insect mushroom bodies; learning; neural model; resonant neurons; spiking neurons; Action Potentials; Animals; Computer Simulation; Decision Making; Drosophila melanogaster; Learning; Motor Activity; Mushroom Bodies; Neurons; Perception; Reward; Robotics; Models Neurological; Neural Networks Computerspiking neuronsbusiness.industryRoboticsGeneral MedicineInsect mushroom bodiesComplex dynamicsDrosophila melanogasterMushroom bodiesPerception020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligenceSequence learningbusiness030217 neurology & neurosurgery
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Detecting Bridge Anaphora

2017

The paper presents one of most important issues in natural language processing (NLP), namely the automated recognition of semantic relations (in this case, bridge anaphora). In this sense, we propose to recognize automatically, as accurately as possible, this type of relations in a literary corpus (the novel Quo Vadis), knowing that the diversity and complexity of relations between entities is impressive. Furthermore, we defined and classified the bridge anaphora type relations based on annotation conventions. In order to achieve the main goal, we developed a computational instrument, BAT (Bridge Anaphora Tool), currently still in a test (and implicitly an improvable) version. This study is…

Computer Networks and CommunicationsComputer sciencebusiness.industryAnaphora (linguistics)computer.software_genreBridge (interpersonal)Field (computer science)Computer Science ApplicationsAnnotationComputational Theory and MathematicsArtificial intelligencebusinesscomputerNatural language processingInternational Journal of Computers Communications & Control
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