Lexicon-assisted tagging and lemmatization in Latin: A comparison of six taggers and two lemmatization models
Tim vor der Brück, Steffen Eger, Alexander Mehler · 2015
We present a survey of tagging accuracies -concerning part-of-speech and full morphological tagging -for several taggers based on a corpus for medieval church Latin (see www.comphistsem.org).The best tagger in our sample, Lapos, has a PoS tagging accuracy of close to 96% and an overall tagging accuracy (including full morphological tagging) of about 85%.When we 'intersect' the taggers with our lexicon, the latter score increases to almost 91% for Lapos.A conservative assessment of lemmatization accuracy on our data estimates a score of 93-94% for a lexicon-based lemmatization strategy and a score of 94-95% for lemmatizing via trained lemmatizers.