Summary: | Comunicació presentada al 9th International Conference on Language Resources and Evaluation (LREC'14), celebrat del 26 al 31 de maig de 2014 a Reykjavík, Islàndia. We present the results of the experiment of bootstrapping a Treebank for Catalan by using a Dependency Parser trained with Spanish sentences. In order to save time and cost, our approach was to profit from the typological similarities between Catalan and Spanish to create a first Catalan data set quickly by (i) automatically annotating with a delexicalized Spanish parser, (ii) manually correcting the parses, and (iii) using the Catalan corrected sentences to train a Catalan parser. The results showed that the number of parsed sentences required to train a Catalan parser is about 1000, which were achieved in 4 months with 2 annotators. This work was partially supported by the SKATER project (Ministerio de Economía y Competitividad, TIN2012-38584-C06-05).
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