Search results for "Language Processing"

showing 10 items of 421 documents

What is a language error?

2022

Why are we so afraid of making mistakes? Students in language classes, speakers of non-standard varieties, professionals working abroad – we all share the anxiety of dropping the ball. But where does this anxiety come from? Why do we perceive certain linguistic features as errors in the first place? Is there any inherent faultiness in such features, or is a language error arbitrary? And if it is arbitrary, are errors less real? In this discussion, Maria Khachaturyan, Maria Kuteeva and Svetlana Vetchinnikova zoom in on the social life of variation in language and its uneasy relationship with our normative ideas. After that, Gunnar Norrman and Dmitri Leontjev give their comments. The discussi…

kieli ja kieletkielenkäyttölanguage processinglanguage socialisationkielivirheetkielitaitonormatiivisuus6121 LanguagesGeneral Medicinesosiolingvistiikkalanguage normativityApples - Journal of Applied Language Studies
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Book Review: Statistical Inference as Severe Testing

2019

logicphilosophybusiness.industrylcsh:BF1-990epistemologymethodologycomputer.software_genreBook Reviewlcsh:PsychologystatisticsStatistical inferencePsychologyArtificial intelligencebusinessPsychologycomputerGeneral PsychologyNatural language processingFrontiers in Psychology
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Multitask deep learning for native language identification

2020

Identifying the native language of a person by their text written in English (L1 identification) plays an important role in such tasks as authorship profiling and identification. With the current proliferation of misinformation in social media, these methods are especially topical. Most studies in this field have focused on the development of supervised classification algorithms, that are trained on a single L1 dataset. Although multiple labeled datasets are available for L1 identification, they contain texts authored by speakers of different languages and do not completely overlap. Current approaches achieve high accuracy on available datasets, but this is attained by training an individua…

luonnollinen kieliComputingMethodologies_PATTERNRECOGNITIONtext classificationkoneoppiminentekstinlouhintadeep learningäidinkielinatural language processingenglannin kielimultitask learning
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Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music

2007

A new methodology for automated extraction of repeated patterns in time-series data is presented, aimed in particular at the analysis of musical sequences. The basic principles consists in a search for closed patterns in a multi-dimensional parametric space. It is shown that this basic mechanism needs to be articulated with a periodic pattern discovery system, implying therefore a strict chronological scanning of the time-series data. Thanks to this modelling global pattern filtering may be avoided and rich and highly pertinent results can be obtained. The modelling has been integrated in a collaborative pro ject between ethnomusicology, cognitive sciences and computer science, aimed at the…

mallintaminenpattern extractionEngineeringaikasarjatmusiikkiséquences temporelles[MATH] Mathematics [math]02 engineering and technology[INFO] Computer Science [cs]Space (commercial competition)computer.software_genre060404 musicanalyse musicalemusiikkianalyysi020204 information systemsmotifs périodiques0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]improvisointiTime series[MATH]Mathematics [math]modaalisuus (musiikki)Parametric statisticsmusic analysismotifs fermésbusiness.industrymusique modale tunisienneextraction de motifstunisian modal musicjaksolliset ilmiöt06 humanities and the artsGeneral MedicineClosed patterntime-series dataarabialainen musiikkiclosed patternMusic theoryEthnomusicologyArtificial intelligencebusinesscomputer0604 artsNatural language processingperiodic pattern
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Does orthographic processing emerge rapidly after learning a new script?

2021

Epub 2020 Aug 11 Orthographic processing is characterized by location-invariant and location-specific processing (Grainger, 2018): (1) strings of letters are more vulnerable to transposition effects than the strings of symbols in same-different tasks (location-invariant processing); and (2) strings of letters, but not strings of symbols, show an initial position advantage in target-in-string identification tasks (location-specific processing). To examine the emergence of these two markers of orthographic processing, we conducted a same-different task and a target-in-string identification task with two unfamiliar scripts (pre-training experiments). Across six training sessions, participants …

media_common.quotation_subject050109 social psychologycomputer.software_genre050105 experimental psychologyTask (project management)orthographic processingHumansLearning0501 psychology and cognitive sciencesFunction (engineering)General Psychologymedia_commontrainingbusiness.industry05 social sciencesOrthographic projectionartificial scriptIdentification (information)Pattern Recognition VisualReadingletter position codingScripting languagefirst-letter advantageArtificial intelligencePsychologybusinesscomputerNatural language processing
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Where lol is: function and position of lol used as a discourse marker in YouTube comments

2020

Lol is probably one of the most popular words in computer-mediated communication. It is generally taken to be the acronym of “laughing out loud”, but it is not always used to indicate a humorous response; rather, it is multifunctional. Drawing on previous studies of the different functions of lol, this paper explores a possible correlation between the position and function of non-lexicalized lol in the specific context of YouTube comments. The hypothesis is that the function of lol largely depends on its position: clause-initial lol is not used with the same functions as clause-final lol. The data for the study come from the comment threads of three popular YouTube videos posted in 2017, 20…

media_common.quotation_subjectDiscourse analysis[SHS.INFO]Humanities and Social Sciences/Library and information scienceslolContext (language use)[SHS.INFO] Humanities and Social Sciences/Library and information sciencesmarqueur pragmatique030507 speech-language pathology & audiology03 medical and health scienceslcsh:P1-1091Acronym[SHS.LANGUE]Humanities and Social Sciences/LinguisticsFunction (engineering)discours médié par ordinateurmedia_commondiscourse marker060201 languages & linguisticsposition syntaxiqueYouTubemarqueur discursiflcsh:P98-98.506 humanities and the artsPragmatics[SHS.LANGUE] Humanities and Social Sciences/LinguisticsLinguisticslcsh:Philology. Linguistics0602 languages and literaturecomputer-mediated discoursepragmatic markerlcsh:Computational linguistics. Natural language processing0305 other medical sciencePsychologysyntactic positionDiscourse marker
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Graphemic complexity and multiple print-to-sound associations in visual word recognition

2005

Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands It has recently been reported that words containing a multiletter grapheme are processed slower than are words composed of single-letter graphemes (Rastle & Coltheart, 1998; Rey, Jacobs, Schmidt-Weigand, & Ziegler, 1998). In the present study, using a perceptual identification task, we found in Experiment 1 that this graphemic complexity effect can be observed while controlling for multiple print-to-sound associations, indexed by regularity or consistency. In Experiment 2, we obtained cumulative effects of graphemic complexity and regularity. These effects were replicated in Experiment 3 in a naming task. Overall, these r…

media_common.quotation_subjectWord processingGraphemeExperimental and Cognitive Psychologycomputer.software_genreVocabularyPsycholinguisticsTask (project management)AssociationArts and Humanities (miscellaneous)PerceptionReading (process)Reaction TimeHumansComputingMilieux_MISCELLANEOUSmedia_commonbusiness.industryCognitionLinguisticsRecognition PsychologyNeuropsychology and Physiological PsychologySound[SCCO.PSYC]Cognitive science/PsychologyVisual PerceptionArtificial intelligencePsychologybusinesscomputerNatural language processingWord (group theory)Cognitive psychology
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The Role of General and Selective Task Instructions on Students’ Processing of Multiple Conflicting Documents

2019

This study was designed to test the role of general and selective task instructions when processing documents, which vary as regards trustworthiness and position toward a conflicting topic. With selective task instructions, we refer to concrete guidelines as how to read the texts and how to select appropriate documents and contents, in contrast to general task instructions. Sixty-one secondary school students were presented with four different conflicting documents in an electronic learning environment and were told to write an essay based on the information from the texts. Only half of the students were told to only use information from two out of the four texts to write their essay (i.e.,…

media_common.quotation_subjectlcsh:BF1-990computer.software_genre050105 experimental psychologyTask (project management)03 medical and health sciences0302 clinical medicinetask-oriented readingReading (process)Psychology0501 psychology and cognitive sciencesQuality (business)General PsychologyOriginal Researchmedia_commonmultiple documentsbusiness.industryon-line reading05 social sciencesContrast (statistics)Focus (linguistics)Test (assessment)Comprehensionlcsh:PsychologyTrustworthinessfunctional readingArtificial intelligencecomprehensionbusinessPsychologycomputer030217 neurology & neurosurgeryNatural language processingFrontiers in Psychology
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Drifting through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition

2016

International audience; Reading is one of the most popular leisure activities and it is routinely performed by most individuals even in old age. Successful reading enables older people to master and actively participate in everyday life and maintain functional independence. Yet, reading comprises a multitude of subprocesses and it is undoubtedly one of the most complex accomplishments of the human brain. Not surprisingly, findings of age-related effects on word recognition and reading have been partly contradictory and are often confined to only one of four central reading subprocesses, i.e., sublexical, orthographic, phonological and lexico-semantic processing. The aim of the present study…

media_common.quotation_subjectlcsh:BF1-990letter identification150semantic decisioncomputer.software_genre050105 experimental psychology03 medical and health sciences0302 clinical medicinereadingReading (process)Lexical decision taskPsychology0501 psychology and cognitive sciencesEveryday lifeGeneral PsychologyOriginal Researchmedia_commonhierarchical diffusion modelingVisual word recognitionlexical decisionComputational modelbusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesagingphonological decision16. Peace & justiceCorrect responsevisual word recognitionlcsh:PsychologyWord recognition[SCCO.PSYC]Cognitive science/PsychologyArtificial intelligenceDecision thresholdPsychologybusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis.

2020

Abstract Objective The majority of radiological reports are still written as free text and lack structure. Further evaluation of free-text reports is difficult to achieve without a great deal of manual effort, and is not possible in everyday clinical practice. This study aims to automatically capture clinical information and positive hit rates from narrative radiological reports of suspected urolithiasis using natural language processing (NLP). Methods Narrative reports of low dose computed tomography (CT) of the retroperitoneum from April 2016 to July 2018 (n = 1714) were analyzed using NLP. These free-text reports were automatically structured based on RadLex concepts. Manual feedback was…

medicine.medical_specialty020205 medical informaticsHealth Informatics02 engineering and technologycomputer.software_genreLogistic regression03 medical and health sciences0302 clinical medicineUreterUrolithiasisEpidemiology0202 electrical engineering electronic engineering information engineeringmedicineMedical imagingHumansIn patient030212 general & internal medicineObstructive uropathyNatural Language ProcessingRetrospective StudiesElectronic Data Processingbusiness.industrymedicine.diseaseTest (assessment)medicine.anatomical_structureRadiological weaponArtificial intelligencebusinessTomography X-Ray ComputedcomputerNatural language processingAlgorithmsInternational journal of medical informatics
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