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• The CLASSLA-StanfordNLP model for UD dependency parsing of standard Bulgarian 1.0

  3 resources

  The model for UD dependency parsing of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the UD-parsed portion of the BulTreeBank training corpus (http://hdl.handle.net/11495/D93F-C6E9-65D9-2) and using the CoNLL2017 word embeddings (http://hdl.handle.net/11234/1-1989). The estimated LAS of the parser is ~91.5.

  Use "The CLASSLA-StanfordNLP model for UD dependency parsing of standard Bulgarian 1.0"

• The CLASSLA-Stanza model for lemmatisation of standard Bulgarian 2.1

  2 resources

  The model for lemmatisation of standard Bulgarian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the BulTreeBank training corpus (https://clarino.uib.no/korpuskel/corpora) and using the Bulgarian inflectional lexicon (Popov, Simov, and Vidinska 1998). The estimated F1 of the lemma annotations is ~98.93. The difference to the previous version of the lemmatizer is that this version was trained using the new version of the Bulgarian word embeddings.

  Use "The CLASSLA-Stanza model for lemmatisation of standard Bulgarian 2.1"

• The CLASSLA-StanfordNLP model for named entity recognition of standard Bulgarian 1.0

  3 resources

  This model for named entity recognition of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the BulTreeBank training corpus (http://hdl.handle.net/11495/D93F-C6E9-65D9-2) and using the CoNLL2017 word embeddings (http://hdl.handle.net/11234/1-1989).

  Use "The CLASSLA-StanfordNLP model for named entity recognition of standard Bulgarian 1.0"

• The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.0

  3 resources

  This model for morphosyntactic annotation of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the BulTreeBank training corpus (http://hdl.handle.net/11495/D93F-C6E9-65D9-2) and using the CoNLL2017 word embeddings (http://hdl.handle.net/11234/1-1989). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.8.

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• The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.1

  3 resources

  This model for morphosyntactic annotation of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the BulTreeBank training corpus (http://hdl.handle.net/11495/D93F-C6E9-65D9-2) and using the CoNLL2017 word embeddings (http://hdl.handle.net/11234/1-1989). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.8. The difference to the previous version of the model is that the pre-trained embeddings are limited to 250 thousand entries and adapted to the new code base.

  Use "The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.1"

• The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.1

  2 resources

  The model for lemmatisation of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the BulTreeBank training corpus (http://hdl.handle.net/11495/D93F-C6E9-65D9-2) and using the Bulgarian inflectional lexicon (Popov, Simov, and Vidinska 1998). The estimated F1 of the lemma annotations is ~98.8. The difference to the previous version of the lemmatizer is that now it relies solely on XPOS annotations, and not on a combination of UPOS, FEATS (lexicon lookup) and XPOS (lemma prediction) annotations.

  Use "The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.1"

• The CLASSLA-Stanza model for morphosyntactic annotation of standard Bulgarian 2.1

  3 resources

  This model for morphosyntactic annotation of standard Bulgarian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the BulTreeBank training corpus (https://clarino.uib.no/korpuskel/corpora) and using the CLARIN.SI-embed.bg word embeddings (http://hdl.handle.net/11356/1796). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.83. The difference to the previous version of the model is that this version was trained using the new version of the Bulgarian word embeddings.

  Use "The CLASSLA-Stanza model for morphosyntactic annotation of standard Bulgarian 2.1"

• The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.0

  2 resources

  The model for lemmatisation of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the BulTreeBank training corpus (http://hdl.handle.net/11495/D93F-C6E9-65D9-2) and using the Bulgarian inflectional lexicon (Popov, Simov, and Vidinska 1998). The estimated F1 of the lemma annotations is ~98.8.

  Use "The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.0"

• The CLASSLA-Stanza model for UD dependency parsing of standard Bulgarian 2.1

  3 resources

  The model for UD dependency parsing of standard Bulgarian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the UD-parsed portion of the BulTreeBank training corpus (https://clarino.uib.no/korpuskel/corpora) and using the CLARIN.SI-embed.bg word embeddings (http://hdl.handle.net/11356/1796). The estimated LAS of the parser is ~91.18. The difference to the previous version of the parser is that this version was trained using the new version of the Bulgarian word embeddings.

  Use "The CLASSLA-Stanza model for UD dependency parsing of standard Bulgarian 2.1"