LREC 2006 - Proceedings sorted by papers

Title	Using a morphological analyzer in high precision POS tagging of Hungarian
Authors	P. Halácsy, A. Kornai, C. Oravecz, V. Trón, D. Varga
Abstract	The paper presents an evaluation of maxent POS disambiguation systems that incorporate an open source morphological analyzer to constrain the probabilistic models. The experiments show that the best proposed architecture, which is the first application of the maximum entropy framework in a Hungarian NLP task, outperforms comparable state of the art tagging methods and is able to handle out of vocabulary items robustly, allowing for efficient analysis of large (web-based) corpora.
Keywords
Full paper	Using a morphological analyzer in high precision POS tagging of Hungarian

Title

Using a morphological analyzer in high precision POS tagging of Hungarian

Authors

P. Halácsy, A. Kornai, C. Oravecz, V. Trón, D. Varga

Abstract

The paper presents an evaluation of maxent POS disambiguation systems that incorporate an open source morphological analyzer to constrain the probabilistic models. The experiments show that the best proposed architecture, which is the first application of the maximum entropy framework in a Hungarian NLP task, outperforms comparable state of the art tagging methods and is able to handle out of vocabulary items robustly, allowing for efficient analysis of large (web-based) corpora.

Keywords

Full paper

Using a morphological analyzer in high precision POS tagging of Hungarian