Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualité
Through discourse attribution and modality mechanisms, newspeople can convey information without having to personally endorse what they are reporting. In some cases, they may even combine news from conflicting sources. We therefore provide a methodological framework aiming at detecting, locating and...
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| Format: | Article |
| Language: | English |
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Cercle linguistique du Centre et de l'Ouest - CerLICO
2009-06-01
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| Series: | Corela |
| Subjects: | |
| Online Access: | https://journals.openedition.org/corela/162 |
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| _version_ | 1846132279387095040 |
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| author | Marie Chagnoux |
| author_facet | Marie Chagnoux |
| author_sort | Marie Chagnoux |
| collection | DOAJ |
| description | Through discourse attribution and modality mechanisms, newspeople can convey information without having to personally endorse what they are reporting. In some cases, they may even combine news from conflicting sources. We therefore provide a methodological framework aiming at detecting, locating and representing commitment as well as modality dynamics in texts, using discursive trees. In particular, the depth of a tree associated to a text illustrates the complexity of its reference frames. The purpose of this approach, more broadly, is to automatically exhibit contentious texts from any given corpus. |
| format | Article |
| id | doaj-art-c8d4d57001e14de38e3c8e5daeb77688 |
| institution | Kabale University |
| issn | 1638-573X |
| language | English |
| publishDate | 2009-06-01 |
| publisher | Cercle linguistique du Centre et de l'Ouest - CerLICO |
| record_format | Article |
| series | Corela |
| spelling | doaj-art-c8d4d57001e14de38e3c8e5daeb776882024-12-09T15:07:26ZengCercle linguistique du Centre et de l'Ouest - CerLICOCorela1638-573X2009-06-017110.4000/corela.162Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualitéMarie ChagnouxThrough discourse attribution and modality mechanisms, newspeople can convey information without having to personally endorse what they are reporting. In some cases, they may even combine news from conflicting sources. We therefore provide a methodological framework aiming at detecting, locating and representing commitment as well as modality dynamics in texts, using discursive trees. In particular, the depth of a tree associated to a text illustrates the complexity of its reference frames. The purpose of this approach, more broadly, is to automatically exhibit contentious texts from any given corpus.https://journals.openedition.org/corela/162discursive modelenonciationcommitmentattributiondiscursive trees |
| spellingShingle | Marie Chagnoux Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualité Corela discursive model enonciation commitment attribution discursive trees |
| title | Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualité |
| title_full | Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualité |
| title_fullStr | Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualité |
| title_full_unstemmed | Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualité |
| title_short | Informer sans s’engager : modélisation de la dynamique énonciative dans les sujets d’actualité |
| title_sort | informer sans s engager modelisation de la dynamique enonciative dans les sujets d actualite |
| topic | discursive model enonciation commitment attribution discursive trees |
| url | https://journals.openedition.org/corela/162 |
| work_keys_str_mv | AT mariechagnoux informersanssengagermodelisationdeladynamiqueenonciativedanslessujetsdactualite |