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

  2 resources

  The model for lemmatisation of standard Macedonian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the 1984 training corpus (to be published). The estimated F1 of the lemma annotations is ~99.1.

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

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

  2 resources

  The model for lemmatisation of standard Macedonian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the 1984 training corpus expanded with the Macedonian SETimes corpus (to be published). The estimated F1 of the lemma annotations is ~98.81. The difference from the previous version is that this version was trained using a larger training dataset.

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

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

  3 resources

  This model for morphosyntactic annotation of standard Macedonian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the 1984 training corpus (to be published) and using the Macedonian CLARIN.SI word embeddings (http://hdl.handle.net/11356/1359). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~97.6. 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 Macedonian 1.1"

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

  3 resources

  This model for morphosyntactic annotation of standard Macedonian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the 1984 training corpus expanded with the Macedonian SETimes corpus (to be published) and using the Macedonian CLARIN.SI word embeddings (http://hdl.handle.net/11356/1788). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~97.14. The difference from the previous version is that this version was trained using a larger training dataset and the new version of the Macedonian word embeddings.

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

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

  3 resources

  This model for morphosyntactic annotation of standard Macedonian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the 1984 training corpus (to be published) and using the Macedonian CLARIN.SI word embeddings (http://hdl.handle.net/11356/1359). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~97.6.

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