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The ParlaMint corpora of parliamentary proceedings
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In: Lang Resour Eval (2022)
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Multilingual comparable corpora of parliamentary debates ParlaMint 2.1
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Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint.ana 2.1
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Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint.ana 2.0
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Multilingual comparable corpora of parliamentary debates ParlaMint 2.0
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Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields ...
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Formae reformandae: for a reorganisation of verb form annotation in Universal Dependencies illustrated by the specific case of Latin
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Cecchini, Flavio Massimiliano (orcid:0000-0001-9029-1822). - : Association for Computational Linguistics, 2021. : country:BGR, 2021. : place:Sofia, 2021
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Multilingual comparable corpora of parliamentary debates ParlaMint 1.0
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The CLASSLA-StanfordNLP model for UD dependency parsing of standard Bulgarian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.0
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The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.1
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Abstract:
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.
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Keyword:
language model; lemmatisation
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URL: http://hdl.handle.net/11356/1353
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The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.0
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