TyPex: Generic Feature for Text Profiler
نویسندگان
چکیده
Very large corpora are increasingly exploited to improve Natural Language Processing (NLP) Systems. This however implies that the lexical, morpho−syntactic and syntactic homogeneity of the data used are mastered. This control in turn requires the development of tools aimed at text calibration or profiling. We are implementing such profiling tools and developing an associated methodology within the ELRA benchmark named Contribution to the construction of corpora of contemporary French. The first results of this approach – applied to a sample of the main sections of Le Monde newspaper – yields constraints for corpus profiling architectures.
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