Processing of Semantic Relationships in a Monolingual Dictionary to Create Machine-Readable Resources

Resumen

Dictionaries are a useful and accessible resource which exists practically in all languages around the world. Their content is structured following very well-known rules, which interconnect their entries in different kind of semantic relationships. In this paper, different methods are applied to process verb definitions to identify semantic relationships among the entries of a monolingual dictionary. Synonyms, hyponymies/ hypernymies and simple collocations are the semantic content we could process for creating machine-readable semantic resources. We think that this kind of processing could be useful for less-resourced languages.