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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 Page: 1 2 3 4 5...8 Hits 1 – 20 of 146 1 Understanding corpus linguistics Barth, Danielle ::[VerfasserIn]; Schnell, Stefan ::[VerfasserIn]. - New York : Routledge, 2021 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 2 A deixis ; DeixisA Proposal for XML Annotation within the Text ; uma proposta de anotação em XML no âmbito do texto Magalhães, Miguel; Gonçalves, Matilde. - 2021 BASE Show details 3 Argument structure taxonomy based 269 verb picture corpus in Kannada ... Ahmed, Wasim. - : Open Science Framework, 2021 BASE Show details 4 D4.3 Survey specific parallel corpora ... Zavala-Rojas, Diana; Danielly Sorato. - : Zenodo, 2021 BASE Show details 5 D4.3 Survey specific parallel corpora ... Zavala-Rojas, Diana; Danielly Sorato. - : Zenodo, 2021 BASE Show details 6 Jeu des termes et chronodiversité. Examen polydiachronique de quelques termes de sémantique et de lexicologie ... Courbon, Bruno. - : Classiques Garnier, 2021 BASE Show details 7 A inteligência, seus usos e ocorrências nos projetos políticos pedagógicos Jivago Ferreira Ribeiro, Hellan; Carneiro Cavalcanti, Fernanda In: A MARgem; Vol. 18 No. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem; Vol. 18 Núm. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem; V. 18 N. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem - Revista Eletrônica de Ciências Humanas, Letras e Artes; v. 18 n. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem; Vol. 18 N.º 2 (2021): v.18, jul-dez, 2021.; 107-124 ; 2175-2516 (2021) BASE Show details 8 NECOS: An annotated corpus to identify constructive news comments in Spanish ; NECOS: Un corpus anotado para identificar comentarios constructivos de noticias en español López-Úbeda, Pilar; Plaza-del-Arco, Flor Miriam; Díaz Galiano, Manuel Carlos. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2021 BASE Show details 9 Animacy and Intransitivity in Sentence Processing Nelson, Peter In: Theses and Dissertations (2021) BASE Show details 10 EMPLOYING A PARALLEL CORPUS-BASED APPROACH IN TEACHING SEMANTIC PROSODY AND COLLOCATIONAL BEHAVIOR TO ARABIC EFL LEARNERS Alzahrani, Alhassan Abdullah J. - 2021 BASE Show details 11 On some challenges posed by corpus-based research in the history of ideas Enrico Pasini. - : Accademia University Press, 2021. : country:ITA, 2021. : place:Torino, 2021 BASE Show details 12 Confini e sconfinamenti negli archivi testuali e nei vocabolari elettronici ... Arcidiacono, Salvatore; Arcidiacono, Salvatore. - : Avellino : Associazione culturale Internazionale Sinestesie, 2020 BASE Show details 13 SSHOC Workshop: Sharing Datasets of Pathological Speech ... Heuvel, Henk Van Den; Bessell, Nicola; Trilsbeek, Paul. - : Zenodo, 2020 BASE Show details 14 SSHOC Workshop: Sharing Datasets of Pathological Speech ... Heuvel, Henk Van Den; Bessell, Nicola; Trilsbeek, Paul. - : Zenodo, 2020 BASE Show details 15 SSHOC Workshop: Sharing Datasets of Pathological Speech ... Heuvel, Henk Van Den; Bessell, Nicola; Trilsbeek, Paul. - : Zenodo, 2020 BASE Show details 16 D4.4 Guidelines for building survey-specific corpora ... Zavala-Rojas, Diana; Danielly Sorato; A Lidun Hareide. - : Zenodo, 2020 BASE Show details 17 D4.4 Guidelines for building survey-specific corpora ... Zavala-Rojas, Diana; Danielly Sorato; A Lidun Hareide. - : Zenodo, 2020 BASE Show details 18 Fintan - Flexible, Integrated Transformation and Annotation eNgineering ... Fäth, Christian; Chiarcos, Christian; Ebbrecht, Björn. - : Zenodo, 2020 BASE Show details 19 Fintan - Flexible, Integrated Transformation and Annotation eNgineering ... Fäth, Christian; Chiarcos, Christian; Ebbrecht, Björn. - : Zenodo, 2020 BASE Show details 20 La détection automatique multilingue d’énoncés biaisés dans Wikipédia Aleksandrova, Desislava. - 2020 Abstract: Nous proposons une méthode multilingue pour l'extraction de phrases biaisées de Wikipédia, et l'utilisons pour créer des corpus en bulgare, en français et en anglais. En parcourant l'historique des révisions des articles, nous cherchons ceux qui, à un moment donné, avaient été considérés en violation de la politique de neutralité de Wikipédia (et corrigés par la suite). Pour chacun de ces articles, nous récupérons la révision signalée comme biaisée et la révision qui semble avoir corrigé le biais. Ensuite, nous extrayons les phrases qui ont été supprimées ou réécrites dans cette révision. Cette approche permet d'obtenir suffisamment de données même dans le cas de Wikipédias relativement petites, comme celle en bulgare, où de 62 000 articles nous avons extrait 5 000 phrases biaisées. Nous évaluons notre méthode en annotant manuellement 520 phrases pour le bulgare et le français, et 744 pour l'anglais. Nous évaluons le niveau de bruit, ses sources et analysons les formes d’expression de biais. Enfin, nous utilisons les données pour entrainer et évaluer la performance d’algorithmes de classification bien connus afin d’estimer la qualité et le potentiel des corpus. ; We propose a multilingual method for the extraction of biased sentences from Wikipedia, and use it to create corpora in Bulgarian, French and English. Sifting through the revision history of the articles that at some point had been considered biased and later corrected, we retrieve the last tagged and the first untagged revisions as the before/after snapshots of what was deemed a violation of Wikipedia’s neutral point of view policy. We extract the sentences that were removed or rewritten in that edit. The approach yields sufficient data even in the case of relatively small Wikipedias, such as the Bulgarian one, where 62k articles produced 5 thousand biased sentences. We evaluate our method by manually annotating 520 sentences for Bulgarian and French, and 744 for English. We assess the level of noise and analyze its sources. Finally, we exploit the data with well-known classification methods to detect biased sentences. Keyword: Biais; Bias; Classification; Corpora; Corpus; Language - Linguistics / Langues - Linguistique (UMI : 0290); Multilingual; Multilingue; Neutralité; Neutrality; Wikipédia URL: http://hdl.handle.net/1866/25107 BASE Hide details Page: 1 2 3 4 5...8

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