Search results for "Linguistics"

showing 10 items of 8097 documents

Mediated learning materials: visibility checks in telepresence robot mediated classroom interaction

2021

Videoconferencing is increasingly used in education as a way to support distance learning. This article contributes to the emerging interactional literature on video-mediated educational interaction by exploring how a telepresence robot is used to facilitate remote participation in university-level foreign language teaching. A telepresence robot differs from commonly used videoconferencing set-ups in that it allows mobility and remote camera control. A remote student can thus move a classroom-based robot from a distance in order to shift attention between people, objects and environmental structures during classroom activities. Using multimodal conversation analysis, we focus on how partici…

Computer scienceTeaching methodDistance educationComputer-Assisted Instructionluokkatyöskentelycomputer.software_genreEducationMultimodalityVideoconferencingHuman–computer interactionetäosallistuminenvideoneuvottelutlearning materialsmultimodalitymultimodaalisuusoppimateriaali060201 languages & linguisticsTeleroboticskieltenopetus4. Education05 social sciencesVisibility (geometry)Educational technology050301 educationvideo-mediated interaction06 humanities and the artstelepresence robotcomputer-assisted language learning0602 languages and literaturerobotitclassroom interaction516 Educational sciences0503 educationcomputer
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Translation: The Basics, written by Juliane House

2020

Computer scienceTranslation (geometry)LinguisticsContrastive Pragmatics
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¿Qué pueden aportar las ciencias de la visión al diseño gráfico?

2020

[ES] El diseño gráfico es importante y necesario en el mundo de hoy porque la vista es la principal forma de adquisición de información. Por lo tanto, es lógico pensar que las ciencias de la visión pueden ayudar en la toma de decisiones a nivel de diseño. Comprender conceptos como la agudeza visual, la sensibilidad al contraste, entre otros, contribuirá a optimizar la legibilidad del texto a través de una selección óptima de parámetros tipográficos para formatos impresos y digitales. Además, entender el efecto de las diferentes alteraciones en la visión del color mejorará la accesibilidad del diseño.

Computer scienceVisión del colorPercepció visualPercepciónAccesibilidad050105 experimental psychology03 medical and health sciencesSistema visualPsicofísica0302 clinical medicineDissenyHuman–computer interactionSelection (linguistics)Psychophysics0501 psychology and cognitive sciencesInformation acquisitionColour visionbusiness.industry05 social sciencesColour VisionGraphic designAccessibilityReadabilitySight030221 ophthalmology & optometryPerceptionVisual systembusiness
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Non-speech voice for sonic interaction: a catalogue

2016

This paper surveys the uses of non-speech voice as an interaction modality within sonic applications. Three main contexts of use have been identified: sound retrieval, sound synthesis and control, and sound design. An overview of different choices and techniques regarding the style of interaction, the selection of vocal features and their mapping to sound features or controls is here displayed. A comprehensive collection of examples instantiates the use of non-speech voice in actual tools for sonic interaction. It is pointed out that while voice-based techniques are already being used proficiently in sound retrieval and sound synthesis, their use in sound design is still at an exploratory p…

Computer scienceVoice - Sonic interaction - Information retrieval - Sound synthesis - Sound designSpeech recognitionSound design02 engineering and technologyExploratory phase020204 information systemsSonic interaction design0202 electrical engineering electronic engineering information engineeringSelection (linguistics)Information retrieval0501 psychology and cognitive sciences050107 human factorsSound (geography)Sonic interactiongeographyModality (human–computer interaction)geography.geographical_feature_categoryInformation retrieval; Sonic interaction; Sound design; Sound synthesis; Voice; Signal Processing; Human-Computer InteractionSettore INF/01 - Informatica05 social sciencesSound synthesiSound designHuman-Computer InteractionSignal ProcessingVoice
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Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

2019

International audience

Computer science[SHS.INFO]Humanities and Social Sciences/Library and information sciencestext miningBibliometrics050905 science studiescomputer.software_genrescientific papersscientometrics[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Bibliography. Library science. Information resourcescomputational linguistics[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciencesnatural language processing[SHS.LANGUE]Humanities and Social Sciences/LinguisticsComputingMilieux_MISCELLANEOUScitation content analysisbusiness.industry05 social sciencesScientometrics[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Artificial intelligence0509 other social sciencesComputational linguistics050904 information & library sciencesbusinesscomputerNatural language processingZ
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Stress Detection from Speech Using Spectral Slope Measurements

2018

Automatic detection of emotional stress is an active research domain, which has recently drawn increasing attention, mainly in the fields of computer science, linguistics, and medicine. In this study, stress is automatically detected by employing speech-derived features. Related studies utilize features such as overall intensity, MFCCs, Teager Energy Operator, and pitch. The present study proposes a novel set of features based on the spectral tilt of the glottal source and of the speech signal itself. The proposed features rely on the Probability Density Function of the estimated spectral slopes, and consist of the three most probable slopes from the glottal source, as well as the correspon…

Computer sciencebusiness.industry020206 networking & telecommunicationsProbability density functionPattern recognition02 engineering and technologyFundamental frequencySignalRandom forestEnergy operatorSpectral slopeClassifier (linguistics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessWord (computer architecture)
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A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification

2021

This study aims to implement the following four advanced pattern recognition algorithms, such as “optimal Bayesian classifier,” “anti-Bayesian classifier,” “decision trees (DTs),” and “dependence trees (DepTs)” on both artificial and real datasets for multi-class classification. Then, we calculated the performance of individual algorithms on both real and artificial data for comparison. In Sect. 1, a brief introduction is given about the study. In the second section, the different types of datasets used in this study are discussed. In the third section, we compared the classification accuracies of Bayesian and anti-Bayesian methods for both the artificial and real-life datasets. In the four…

Computer sciencebusiness.industryBayesian probabilityDecision treePattern recognitionMulticlass classificationNaive Bayes classifierBayes' theoremComputingMethodologies_PATTERNRECOGNITIONSection (archaeology)Classifier (linguistics)Pattern recognition (psychology)Artificial intelligencebusinessAlgorithm
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Word sense disamibiguation combining conceptual distance, frequency and gloss

2004

Word sense disambiguation (WSD) is the process of assigning a meaning to a word based on the context in which it occurs. The absence of sense tagged training data is a real problem for the word sense disambiguation task. We present a method for the resolution of lexical ambiguity which relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a conceptual density formula developed for this purpose. The formula we propose, is a generalised form of the Agirre-Rigau conceptual density measure in which many (parameterised) refinements were introduced and an exhaustive evaluation of all meaningful combinations was performed.…

Computer sciencebusiness.industryBrown CorpusWordNetcomputer.software_genreHand codingSemEvalTaxonomy (general)NounArtificial intelligenceComputational linguisticsbusinesscomputerNatural language processingNatural languageInternational Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003
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Measuring Effort in Subprocesses of Subtitling

2021

There has been noticeable growth in the use and production of intralingual and interlingual subtitles due to technological advances and accessibility legislation. While the reception of subtitles has been increasingly studied over the years, there are only a few empirical studies that investigate the process of subtitling. This contribution gives initial results from a study that investigates the impact of reference material during post-editing of NMT of audiovisual content via language. The focus is on transcription and translation processes, the two main subprocesses of the complex task of interlingual subtitling. Applying well-established methods from TPR, key-logging and eye tracking, t…

Computer sciencebusiness.industryContext (language use)Indirect translationcomputer.software_genreSession (web analytics)language.human_languageGermanEmpirical researchTranscription (linguistics)Language technologylanguageEye trackingArtificial intelligencebusinesscomputerNatural language processing
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Using a Computerised Corpus in the Construction of a Bilingual Phraseological Dictionary

2016

It is generally acknowledged that one of the main purposes of bilingual dictionaries is to provide learners with relevant and sufficient information about the grammatical, lexical and phraseological units of a language (Yong and Peng 2007: 20). Furthermore, this must be done in a way that is both convenient and comprehensible for very specific kinds of users (Cabre 2007: 80–81; Pecman 2008: 205), namely, non-native speakers who are still developing their linguistic and discourse competence but who have not fully attained the intuitive ability to tackle major grammatical issues. It follows that this kind of learner cannot rely on previous discourse experience and sociolinguistic training in …

Computer sciencebusiness.industryFirst languageBilingual dictionaryArtificial intelligencecomputer.software_genrebusinesscomputerCompetence (human resources)Natural language processingLinguistics
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