Using a Generative Lexicon Resource to Compute Bridging Anaphora in Italian

In this paper, we propose two different alternatives to deal with degraded queries on Spanish Information Retrieval applications. The first is based on character n-grams, and has no dependence on the linguistic knowledge and resources available. In the second, we propose two spelling correction techniques, one of which has a strong dependence on a stochastic model that must be previously built from a PoStagged corpus. In order to study their validity, a testing framework has been designed and applied on both approaches for evaluation.