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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 2 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 3 Annotation syntaxique automatique de la partie orale du ORFÉO Nasr, Alexis; Dary, Franck; Béchet, Frédéric; Fabre, Benoît In: Langages, N 219, 3, 2020-08-11, pp.87-102 (2020) Abstract: Cet article présente les outils informatiques, développés dans le cadre du projet orféo, qui permettent de prédire de manière automatique les annotations linguistiques, en particulier les parties de discours, les lemmes, les dépendances syntaxiques et la segmentation des énoncés. Deux points importants sont mis en avant. Le premier est la segmentation en énoncés, qui est un problème difficile du traitement linguistique de l’oral. Nous montrons que la prise en compte de la syntaxe permet d’obtenir de bonnes performances de segmentation. Le second concerne la prise en compte de métadonnées dans les outils afin d’adapter ces derniers à la variété des données collectées. Les résultats obtenus sur le corpus de référence valident les approches proposées et permettent d’estimer la qualité des annotations produites automatiquement sur la portion du Corpus d’Étude pour le Français Contemporain (céfc) non validée manuellement. ; `titrebAutomatic syntactic parsing of the spoken part of the céfc`/titrebThis paper presents the linguistic annotation tools that were developed in the framework of the orféo project and used to annotate the different corpora. Two important points are developed. The first one is sentence segmentation, which is a difficult problem when processing speech transcriptions. We show that taking into account syntax allows to obtain good segmentation performance. The second is the introduction of metadata features in the parsing process in order to adapt the models to the variety of data collected. The results obtained on the orféo corpus validate the proposed approaches and make it possible to estimate the quality of the annotations produced automatically on the orféo corpora which are not validated manually. Keyword: analyse en dépendance; analyse syntaxique; analyseur en transition; dependency parsing; segmentation en énoncés; sentence segmentation; syntactic parsing; transition-based parser URL: https://www.cairn.info/article.php?ID_ARTICLE=LANG_219_0087 https://doi.org/10.3917/lang.219.0087 BASE Hide details 4 Slavic Forest, Norwegian Wood (scripts) Rosa, Rudolf; Zeman, Daniel; Mareček, David. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 5 Slavic Forest, Norwegian Wood (models) Rosa, Rudolf; Zeman, Daniel; Mareček, David. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 6 Realisation ranking and word ordering in the context of lesser resourced languages Motazedi, Yasaman. - : Sydney, Australia : Macquarie University, 2017 BASE Show details 7 Irish dependency treebanking and parsing Lynn, Teresa. - : Sydney, Australia : Macquarie University, 2016 BASE Show details 8 Vietnamese sentiment analysis for online booking hotel review based on term feature selection and dependency tree ... Bang, Tran Sy. - : Thammasat University, 2016 BASE Show details 9 MSTperl parser (2015-05-19) Rosa, Rudolf. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2015 BASE Show details 10 MSTperl parser Rosa, Rudolf. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014 BASE Show details 11 Polynomial Pregroup Grammars parse Context Sensitive Languages Preller, Anne In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-00412876 ; RR-09024, 2009, pp.1-26 (2009) BASE Show details 12 Syntactic Analysis for the R2 System Biss, Kenneth. - : Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1968 BASE Show details 13 Documentation of MaltParser Web Service Padró, Muntsa; Sadan, Idan BASE Show details

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