Search results for "discourse segmentation"

showing 2 items of 2 documents

Using discourse segmentation to account for the polyfunctionality of discourse markers:The case of well

2021

Abstract A large number of studies describe the many different functions of polyfunctional discourse markers like well in different contexts and from different theoretical perspectives. In the current paper, we propose to systematize the many different uses identified based on their position with respect to the discourse units they are associated with. Not only can previous findings on well be integrated into a single coherent representation of its uses and functions, but the positions with respect to the discourse units can also be associated with specific functions, thus shedding light on how the polyfunctionality of well is brought about.

Discourse markers050101 languages & linguisticsLinguistics and LanguageDiscourse unitsCurrent (mathematics)Computer sciencecomputer.software_genreWell050105 experimental psychologyLanguage and LinguisticsConstruction grammarArtificial IntelligencePosition (vector)Discourse segmentation0501 psychology and cognitive sciencesSegmentationPolyfunctionalitybusiness.industry05 social sciencesRepresentation (systemics)Construction grammarArtificial intelligencebusinesscomputerVAMDiscourse markerNatural language processing
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Inter-annotator agreement in spoken language annotation: Applying uα-family coefficients to discourse segmentation

2021

As databases make Corpus Linguistics a common tool for most linguists, corpus annotation becomes an increasingly important process. Corpus users do not need only raw data, but also annotated data, submitted to tagging or parsing processes through annotation protocols. One problem with corpus annotation lies in its reliability, that is, in the probability that its results can be replicable by independent researchers. Inter-annotation agreement (IAA) is the process which evaluates the probability that, applying the same protocol, different annotators reach similar results. To measure agreement, different statistical metrics are used. This study applies IAA for the first time to the Valencia E…

subactsLinguistics and LanguageComputer scienceProcess (engineering)media_common.quotation_subjectP1-1091computer.software_genreLanguage and LinguisticsSet (abstract data type)Annotationkripendorff’s α-coefficientsCorpus linguisticsConversationSegmentationval.es.co. modelPhilology. Linguisticsmedia_commoninter-annotator agreementParsingbusiness.industrycorpus annotationdiscourse segmentationArtificial intelligencebusinesscomputerNatural language processingSpoken languageRussian Journal of Linguistics
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