Exploiting Synergies Between Open Resources for German Dependency Parsing, POS-tagging, and Morphological Analysis

Rico Sennrich, Martin Volk, Gerold Schneider

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 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.
Original languageEnglish
Title of host publicationProceedings of Recent Advances in Natural Language Processing
PublisherAssociation for Computational Linguistics
Pages601-609
Number of pages9
Publication statusPublished - 2013
Event Recent Advances in Natural Language Processing (RANLP 2013) - Hissar, Bulgaria
Duration: 7 Sep 201313 Sep 2013

Conference

Conference Recent Advances in Natural Language Processing (RANLP 2013)
CountryBulgaria
CityHissar
Period7/09/1313/09/13

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