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


Sennrich, Rico; Volk, Martin; Schneider, Gerold (2013). Exploiting Synergies Between Open Resources for German Dependency Parsing, POS-tagging, and Morphological Analysis. In: Recent Advances in Natural Language Processing (RANLP 2013), Hissar, Bulgaria, 7 September 2013 - 13 September 2013, 601-609.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:13 September 2013
Deposited On:02 Oct 2013 15:07
Last Modified:06 Aug 2017 00:24
Official URL:http://www.aclweb.org/anthology/R/R13/R13-1079.pdf

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