Title: Exploiting Synergies Between Open Resources for German Dependency Parsing, POS-tagging, and Morphological Analysis
Abstract:We report on the recent development of ParZu, a German dependency parser. We discuss the effect of POS tagging and morphological analysis on parsing performance, and present novel ways of improving pe...We report on the recent development of ParZu, a German dependency parser. We discuss the effect of POS tagging and morphological analysis on parsing performance, and present novel ways of improving performance of the components, including the use of morphological features for POS-tagging, the use of syntactic information to select good POS sequences from an n-best list, and using parsed text as training data for POS tagging and statistical parsing. We also describe our efforts towards reducing the dependency on restrictively licensed and closed-source NLP resources.Read More
Publication Year: 2013
Publication Date: 2013-09-13
Language: en
Type: article
Access and Citation
Cited By Count: 49
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