An evaluation of part-of-speech taggers for French

Diplôme Master An evaluation of part-of-speech taggers for French eng 2021 author Mattiuzzi Silvia 881832 director Bouillon Pierrette 0000-0002-8854-6360 26962 Annotated corpora are widely employed in a variety of fields such as linguistics, translation studies, natural language processing, etc., and part-of-speech tagging is one of the most common forms of corpus annotation. This master thesis presents an evaluation of three part-of-speech taggers for French. All systems are freely available for non-commercial use but differ in the approach to POS tagging as well as in the way they interface to the user. Two series of experiments are carried out where taggers are tested without training or tuning. The aim is to provide users with an overview of different alternatives for the morphosyntactic annotation of French corpora and the opportunity to choose the POS tagger that best suits their needs − whether it is in terms of the quality of the annotation with respect to the text typology, the format of the files to be processed or the skills required to deploy it. Part-of-speech tagging French Evaluation User-oriented Accuracy MElt TreeTagger UDPipe 2.0 NLP Corpus linguistics Analyseurs morpho-syntaxiques Français Évaluation Orientée-utilisateurs Précision TALN Linguistique de corpus Dewey 410.2 Maîtrise universitaire en traduction et technologie 112 Département de traitement informatique multilingue 92 false c2f3901d-17b9-4e8b-ba89-70ce33ff903d Master thesis Public Mattiuzzi_Silvia_memoire.pdf 2628302 application/pdf openAccess Faculté de traduction et d'interprétation / Département de traitement informatique multilingue

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An evaluation of part-of-speech taggers for French				2021	355	341

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Mattiuzzi, Silvia