Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian
Lauriane Aufrant, Guillaume Wisniewski, François Yvon · 2016
Because of the small size of Romanian corpora, the performance of a PoS tagger or a dependency parser trained with the standard supervised methods fall far short from the performance achieved in most languages.That is why, we apply state-of-the-art methods for cross-lingual transfer on Romanian tagging and parsing, from English and several Romance languages.We compare the performance with monolingual systems trained with sets of different sizes and establish that training on a few sentences in target language yields better results than transferring from large datasets in other languages.