Hacia una anotación de dependencias enriquecida de corpus españoles

We present a cost-effective strategy for the creation of a mid-size fine-grained Spanish dependency tree bank of surface-, deep-syntactic and semantic structures as defined in the Meaning-Text Theory. The strategy starts from a small seed dependency corpus, the AnCora corpus, whose annotation is considerably more coarse-grained than our target annotation. We show that this discrepancy can be bridged largely by automatic means. This allows us to develop the resources with limited human effort within a limited period of time. We also propose a preliminary evaluation of the actual amount of work that the annotation process requires.