Searching for Discriminative Metadata of Heterogenous Corpora
Résumé
In this paper, we use machine learning techniques for part-of-speech tagging and parsing to explore the specificities of a highly heterogeneous corpus. The corpus used is a treebank of Old French made of texts which differ with respect to several types of metadata: production date, form (verse/prose), domain , and dialect. We conduct experiments in order to determine which of these metadata are the most discriminative and to induce a general methodology .
| Origine | Fichiers produits par l'(les) auteur(s) |
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