Search results for "Natural language processing"

showing 10 items of 413 documents

Interpretability in Word Sense Disambiguation using Tsetlin Machine

2021

Word-sense disambiguationComputer sciencebusiness.industryArtificial intelligencecomputer.software_genrebusinesscomputerNatural language processingInterpretabilityProceedings of the 13th International Conference on Agents and Artificial Intelligence
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SisHiTra : A Hybrid Machine Translation System from Spanish to Catalan

2004

In the current European scenario, characterized by the coexistence of communities writing and speaking a great variety of languages, machine translation has become a technology of capital importance. In areas of Spain and of other countries, coofficiality of several languages implies producing several versions of public information. Machine translation between all the languages of the Iberian Peninsula and from them into English will allow for a better integration of Iberian linguistic communities among them and inside Europe. The purpose of this paper is to show a machine translation system from Spanish to Catalan that deals with text input. In our approach, both deductive (linguistic) and…

Word-sense disambiguationMachine translationComputer sciencebusiness.industryAutomatic translationWord error rateHybrid machine translationcomputer.software_genreVariety (linguistics)language.human_languagelanguageCatalanArtificial intelligencebusinesscomputerNatural languageNatural language processing
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Experiments in Non-Coherent Post-editing

2017

Market pressure on translation productivity joined with technological innovation is likely to fragment and decontextualise translation jobs even more than is cur-rently the case. Many different translators increasingly work on one document at different places, collaboratively working in the cloud. This paper investigates the effect of decontextualised source texts on behaviour by comparing post-editing of sequentially ordered sentences with shuffled sentences from two different texts. The findings suggest that there is little or no effect of the decontextualised source texts on behaviour.

Work (electrical)Fragment (logic)business.industryComputer scienceNon coherentCloud computingArtificial intelligencebusinesscomputer.software_genrecomputerProductivityNatural language processingProceedings of the Workshop on Human-Informed Translation and Interpreting Technology
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Qualifying semantic graphs using model checking

2011

International audience; Semantic interoperability problems have found their solutions using languages and techniques from the Semantic Web. The proliferation of ontologies and meta-information has improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of research concerns t…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesSocial Semantic Webtemporal logicSemantic similaritySemantic computing0202 electrical engineering electronic engineering information engineeringSemantic analyticsSemantic integrationSemantic Web StackInformation retrievalbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebSemantic search020207 software engineeringSemantic interoperability[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationModel-checking010201 computation theory & mathematicsSemantic graphTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligencebusinesscomputerNatural language processing2011 International Conference on Innovations in Information Technology
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Le grand débat national, une aide pour prendre des décisions locales?

2021

The Great National Debate, decided by Emmanuel Macron at the beginning of 2019 to respond to the Yellow Vests social movement, allowed the collection of citizens’ contributions on the ecological transition via an online platform. In this article, we use the corpus constituted by these contributions to identify areas where participants are asking for the development of bicycle paths and railway facilities. For this purpose, we have created a classification model to identify contributions dealing with the theme of transportation and proposed a method for extracting patterns that reflect the contributors’ proposals. We then represented these patterns on maps, using the contributors’ postal cod…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.0: DiscourseMotifs[SHS.GEO] Humanities and Social Sciences/GeographyGrand Débat NationalTransport[SHS.GEO]Humanities and Social Sciences/GeographyPatternsACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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2020

To successfully learn using open Internet resources, students must be able to critically search, evaluate and select online information, and verify sources. Defined as critical online reasoning (COR), this construct is operationalized on two levels in our study: (1) the student level using the newly developed Critical Online Reasoning Assessment (CORA), and (2) the online information processing level using event log data, including gaze durations and fixations. The written responses of 32 students for one CORA task were scored by three independent raters. The resulting score was operationalized as “task performance,” whereas the gaze fixations and durations were defined as indicators of “pr…

business.industry05 social sciencesInformation processing050301 educationProcess miningContrast (statistics)Dual process theorycomputer.software_genre050105 experimental psychologyLatent class modelTask (project management)Eye tracking0501 psychology and cognitive sciencesPerformance indicatorArtificial intelligencePsychologybusiness0503 educationcomputerGeneral PsychologyNatural language processingFrontiers in Psychology
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Pattern languages with and without erasing

1994

The paper deals with the problems related to finding a pattern common to all words in a given set. We restrict our attention to patterns expressible by the use of variables ranging over words. Two essentially different cases result, depending on whether or not the empty word belongs to the range. We investigate equivalence and inclusion problems, patterns descriptive for a set, as well as some complexity issues. The inclusion problem between two pattern languages turns out to be of fundamental theoretical importance because many problems in the classical combinatorics of words can be reduced to it.

business.industryApplied MathematicsInferenceComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Inductive reasoningcomputer.software_genreComputer Science ApplicationsPhilosophy of languageComputational Theory and MathematicsrestrictFormal languageArtificial intelligenceEquivalence (formal languages)ArithmeticbusinesscomputerComputer Science::Formal Languages and Automata TheoryNatural language processingMathematicsInternational Journal of Computer Mathematics
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Normalization 2.0: A longitudinal analysis of German online campaigns in the national elections 2002–9

2011

This article examines the functional, relational and discursive dimensions of the normalization thesis in one study, for both Web 1.0 and Web 2.0 features, in a longitudinal design. It is based on a quantitative content and structural analysis of German party websites in the national elections between 2002 and 2009. The results show that the normalization thesis holds true in all its dimensions over time and in the Web 2.0 era: parties still focus on the top-down elements of information provision and delivery while interactive options are scarce. The digital divide between parliamentary and non-parliamentary parties has narrowed over time, but remains visible for all online functions in 200…

business.industryCommunicationcomputer.software_genreLanguage and Linguisticslanguage.human_languageGermanPolitical sciencelanguageNormalization (sociology)The InternetArtificial intelligencebusinesscomputerNatural language processingEuropean Journal of Communication
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Automating statistical diagrammatic representations with data characterization

2017

The search for an efficient method to enhance data cognition is especially important when managing data from multidimensional databases. Open data policies have dramatically increased not only the volume of data available to the public, but also the need to automate the translation of data into efficient graphical representations. Graphic automation involves producing an algorithm that necessarily contains inputs derived from the type of data. A set of rules are then applied to combine the input variables and produce a graphical representation. Automated systems, however, fail to provide an efficient graphical representation because they only consider either a one-dimensional characterizat…

business.industryComputer science020207 software engineeringCognition02 engineering and technologyGraphic designcomputer.software_genre01 natural sciencesCharacterization (materials science)010104 statistics & probabilityInformation visualizationDiagrammatic reasoningOpen dataHuman–computer interaction0202 electrical engineering electronic engineering information engineeringComputer Vision and Pattern RecognitionArtificial intelligence0101 mathematicsbusinesscomputerStatistical graphicsNatural language processingGraphical user interfaceInformation Visualization
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Correction to: Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications

2019

business.industryComputer scienceArtificial intelligencecomputer.software_genrebusinesscomputerNatural language processingNatural language
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