hu_core_news_lg model#
The model builds on the Hungarian UD treebank and the NerKor corpus, thus it is capable of predicting PoS and morphological tags, computing lemmata, providing dependency parses of sentences and marking named entities. The underlying components builds on a 300d word embedding trained the Hungarian Webcorpus 2.0