Automation of treebank annotation

  • Authors:
  • Thorsten Brants;Wojciech Skut

  • Affiliations:
  • Universität des Saarlandes, Saarbrücken, Germany;Universität des Saarlandes, Saarbrücken, Germany

  • Venue:
  • NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
  • Year:
  • 1998

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes applications of stochastic and symbolic NLP methods to treebank annotation. In particular we focus on (1) the automation of treebank annotation, (2) the comparison of conflicting annotations for the same sentence and (3) the automatic detection of inconsistencies. These techniques are currently employed for building a German treebank.