Investigating the Possibilities of Using SMT for Text Annotation
László János Laki · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2012
In this paper I examine the applicability of SMT methodology for part-of-speech disambiguation and lemmatization in Hungarian. After the baseline system was created, different methods and possibilities were used to improve the efficiency of the system. I also applied some methods to decrease the size of the target dictionary and to find a proper solution to handle out-of-vocabulary words. The results show that such a light-weight system performs comparable results to other state-of-the-art systems.