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We present in this paper a language model for information ret rieval on structured documents. We also present a use of endogenous and exogenous r s rces for indexing and querying. The endogenous resources are phrases taken from t he corpus itself, and resources extracted from Wikipedia external links ( forward links). W e show that a language model with Dirichlet smoothing is more suited to information retr i val on structured documents than smoothing by linear interpolation (Jelinek-Mercer). Fina lly, we use this matching in a probabilistic scheme of type Fetch and Browse, from the full docu ment to parts of the document (doxels). These proposals have produced 4 top tracks accord ing to the INEX 2009 evaluation campaign, among the eight tracks proposed this year. MOTS-CLÉS :documents structurés, ressources endogènes et exogènes, m odèle de langue

Modèle de langue par type de doxel pour l'indexation de documents structurés