Fixed - Replace bogus transformer model versions with fixed ones (`hu_core_news_trf_xl-v3.5.1`, `hu_core_news_trf_xl-v3.5.1`)
0.8.0
Fixed - Applied an edit-tree lemmatizer fix, based on [explosion/spaCy12017](https://github.com/explosion/spaCy/pull/12017) New - Added support for new models (`hu_core_news_md-v3.5.1`, `hu_core_news_lg-v3.5.1`, `hu_core_news_trf_xl-v3.5.0`, `hu_core_news_trf_xl-v3.5.1`)
0.7.0
New - Added support for new models (`hu_core_news_md-v3.5.0`, `hu_core_news_lg-v3.5.0`, `hu_core_news_trf_xl-v3.4.0`) - Updated documentation
0.6.0
New - Added a lookup component for sentiment lexicons - Added integration for novakat's onpp NER model (`nerpp`) - Added support for new models (`hu_core_news_trf-v3.4.0`, `hu_core_news_md-v3.4.2`, `hu_core_news_lg-v3.4.4`)
0.5.1
hu_core_ud_lg-0.3.1 Hungarian multi-task CNN trained on Universal Dependencies data. Assigns context-specific token vectors, Brown cluster IDs, word probabilities, POS tags, dependency parse, named entity tags and lemmata.
Feature | Description -- | -- Name | hu_core_ud_lg