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

  3 resources

  This model for morphosyntactic annotation of non-standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the ssj500k training corpus (http://hdl.handle.net/11356/1210) and the Janes-Tag corpus (http://hdl.handle.net/11356/1238), using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.14.

  Use "The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Slovenian 1.0"

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

  2 resources

  This model for named entity recognition of non-standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the ssj500k training corpus (http://hdl.handle.net/11356/1210) and the Janes-Tag training corpus (http://hdl.handle.net/11356/1238), using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204). The training corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed.

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

• The CLASSLA-StanfordNLP model for lemmatisation of non-standard Slovenian 1.1

  2 resources

  The model for lemmatisation of non-standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the ssj500k training corpus (http://hdl.handle.net/11356/1210) and the Janes-Tag corpus (http://hdl.handle.net/11356/1238), using the Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The estimated F1 of the lemma annotations is ~98.86. 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.

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

  3 resources

  This model for morphosyntactic annotation of non-standard Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SUK training corpus (http://hdl.handle.net/11356/1747) and the Janes-Tag corpus (http://hdl.handle.net/11356/1732), using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204) that were expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~92.17. The difference to the previous version of the model is that the model was trained on the SUK training corpus and the 3.0 version of Janes-tag, uses new embeddings and the new version of the Slovene morphological lexicon Sloleks 3.0 (http://hdl.handle.net/11356/1745).

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

• The CLASSLA-Stanza model for lemmatisation of non-standard Slovenian 2.1

  2 resources

  This model for lemmatisation of non-standard Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SUK training corpus (http://hdl.handle.net/11356/1747) and the Janes-Tag corpus (http://hdl.handle.net/11356/1732), using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204) that were expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The estimated F1 of the lemma annotations is ~91.45. The difference to the previous version of the model is that the model was trained on the SUK training corpus and the 3.0 version of Janes-tag, uses new embeddings and the new version of the Slovene morphological lexicon Sloleks 3.0 (http://hdl.handle.net/11356/1745).

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

• The CLASSLA-StanfordNLP model for lemmatisation of non-standard Slovenian 1.0

  2 resources

  The model for lemmatisation of non-standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the ssj500k training corpus (http://hdl.handle.net/11356/1210) and the Janes-Tag corpus (http://hdl.handle.net/11356/1238), using the Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The estimated F1 of the lemma annotations is ~98.86.

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