Data Driven Lemmatization for Statistical Constituent Parsing of Italian
Abstract
This paper aims at presenting some preliminary results for data driven lemmatization for Italian. Besides intrinsic evaluation for this task, we want to measure its usefulness and adequacy by using our system as input for the task of parsing, following a methodology developed on French. This approach achieves state-of-the-art parsing accuracy without requiring any prior knowledge of the language.