POS Tagging for German: how important is the Right Context?
Steliana Ivanova, Sandra Kübler · 2008
Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models.While Markov models have a strong concentration on the left context of a word, many languages require the inclusion of right context for correct disambiguation.We show for German that the best results are reached by a combination of left and right context.If only left context is available, then changing the direction of analysis and going from right to left improves the results.In a version of MBT (Daelemans et al., 1996) with default parameter settings, the inclusion of the right context improved POS tagging accuracy from 94.00% to 96.08%, thus corroborating our hypothesis.The version with optimized parameters reaches 96.73%.