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• The CLASSLA-Stanza model for lemmatisation of spoken Slovenian 2.2

  2 resources

  This model for lemmatisation of spoken Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SST treebank of spoken Slovenian (https://github.com/UniversalDependencies/UD_Slovenian-SST) combined with the SUK training corpus (http://hdl.handle.net/11356/1959) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1791) that were expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). The estimated F1 of the lemma annotations is ~99.23.

  Use "The CLASSLA-Stanza model for lemmatisation of spoken Slovenian 2.2"

• 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.

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

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

  2 resources

  The model for lemmatisation of 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 using the Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). The estimated F1 of the lemma annotations is ~99.0. The difference to the previous version of the model is that it is trained with the lemmatiser padding bug removed, cf. https://github.com/stanfordnlp/stanfordnlp/issues/143.

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

• The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4

  2 resources

  The model for lemmatisation of 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 using the Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). The estimated F1 of the lemma annotations is ~99.7. The difference to the previous version of the model is that the Sloleks inflectional lexicon is moved to the morphosyntactic model.

  Use "The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4"

• The CLASSLA-Stanza model for lemmatisation of standard Slovenian 2.0

  2 resources

  This model for lemmatisation of 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 using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204) expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). The estimated F1 of the lemma annotations is ~99.11. The difference to the previous version of the model is that the model was trained using the SUK training corpus and 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 standard Slovenian 2.0"

• The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.2

  2 resources

  The model for lemmatisation of 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 using the Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). The estimated F1 of the lemma annotations is ~99.0. The difference to the previous version 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 Slovenian 1.2"

• 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"

• The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian

  2 resources

  The model for lemmatisation of 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 using the Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). The estimated F1 of the lemma annotations is ~99.0.

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

• The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.3

  2 resources

  The model for lemmatisation of 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 using the Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). The estimated F1 of the lemma annotations is ~99.7. The difference to the previous version is that the internal lexicon is built on the lexicon training data only, and not on the (automatically XPOS-annoteted) corpus data.

  Use "The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.3"

• 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"