Search results

• The CLASSLA-Stanza model for semantic role labeling of standard Slovenian 2.0

  2 resources

  The model for semantic role labeling 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) extended with the MaCoCu-sl Slovenian web corpus (http://hdl.handle.net/11356/1517). The estimated F1 of the semantic role annotations is ~76.24. The difference to the previous version of the model is that the model was trained using the SUK training corpus and the updated word embeddings.

  Use "The CLASSLA-Stanza model for semantic role labeling of standard Slovenian 2.0"

• 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-Stanza model for semantic role labeling of standard Slovenian

  2 resources

  The model for semantic role labeling of standard Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the ssj500k training corpus (http://hdl.handle.net/11356/1434). The estimated F1 of the semantic role annotations is ~77.2.

  Use "The CLASSLA-Stanza model for semantic role labeling of standard Slovenian"

• The CLASSLA-Stanza model for JOS dependency parsing of standard Slovenian 2.0

  3 resources

  This model for JOS dependency parsing 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 LAS of the parser is ~93.89. The difference to the previous version of the model is that the model was trained using the SUK training corpus and uses the updated embeddings.

  Use "The CLASSLA-Stanza model for JOS dependency parsing of standard Slovenian 2.0"

• 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 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-Stanza model for UD dependency parsing of spoken Slovenian 2.2

  3 resources

  This model for UD dependency parsing 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 LAS of the parser is ~81.91.

  Use "The CLASSLA-Stanza model for UD dependency parsing of spoken Slovenian 2.2"

• The CLASSLA-Stanza model for morphosyntactic annotation of standard Slovenian 2.0

  3 resources

  This model for morphosyntactic annotation 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) that were expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~98.27. 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 morphosyntactic annotation of standard Slovenian 2.0"

• The CLASSLA-Stanza model for UD dependency parsing of standard Slovenian 2.2

  3 resources

  This model for UD dependency parsing 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 LAS of the parser is ~90.42. The difference to the previous version of the model is that the model was trained using the improved SUK 1.1 version of the training corpus.

  Use "The CLASSLA-Stanza model for UD dependency parsing of standard Slovenian 2.2"

• The CLASSLA-Stanza model for UD dependency parsing of standard Slovenian 2.0

  3 resources

  This model for UD dependency parsing 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 LAS of the parser is ~91.11. The difference to the previous version of the model is that the model was trained using the SUK training corpus and uses the updated embeddings.

  Use "The CLASSLA-Stanza model for UD dependency parsing of standard Slovenian 2.0"