A multiregional general equilibrium model of the Austrian economy: Effects of the catch-up process of the CEECs on the regional economy

This paper developes the first multiregional computable general equilibrium model for the Austrian economy. The model is based on an Arrow-Debreu-equilibrium. It contains the 9 Austrian Federal Provinces (NUTS-II) which are linked by trade flows with two groups of foreign countries (CEEC-4; ROW). The influence economic growth in the CEEC's has on the domestic economy is modelled by shifts of the import-demand and export-supply functions of the CEEC's. Simulation results show how the structural and welfare effects differ for the Austrian regions. Structural composition and geographic distance both affect regional results. JEL classification: C68, F11, F15, R13 Keywords: CGE modeling, regional model, catch-up, Austria, Eastern Europe

Comparing a statistical and a rule-based tagger for German

In this paper we present the results of comparing a statistical tagger for German based on decision trees and a rule-based Brill-Tagger for German. We used the same training corpus (and therefore the same tag-set) to train both taggers. We then applied the taggers to the same test corpus and compared their respective behavior and in particular their error rates. Both taggers perform similarly with an error rate of around 5%. From the detailed error analysis it can be seen that the rule-based tagger has more problems with unknown words than the statistical tagger. But the results are opposite for tokens that are many-ways ambiguous. If the unknown words are fed into the taggers with the help of an external lexicon (such as the Gertwol system) the error rate of the rule-based tagger drops to 4.7%, and the respective rate of the statistical taggers drops to around 3.7%. Combining the taggers by using the output of one tagger to help the other did not lead to any further improvement.Comment: 8 page