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The Croatian psycholinguistic database: Estimates for 6000 nouns, verbs, adjectives and adverbs
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In: Behav Res Methods (2021)
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The CLASSLA-StanfordNLP model for lemmatisation of standard Macedonian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Macedonian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Serbian 1.1
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The CLASSLA-StanfordNLP model for JOS dependency parsing of standard Slovenian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Croatian 1.1
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Multilingual comparable corpora of parliamentary debates ParlaMint 1.0
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The CLASSLA-StanfordNLP model for named entity recognition of standard Slovenian 1.0
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The CLASSLA-StanfordNLP model for named entity recognition of non-standard Croatian 1.0
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The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.1
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The CLASSLA-StanfordNLP model for named entity recognition of standard Croatian 1.0
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The CLASSLA-StanfordNLP model for lemmatisation of standard Serbian 1.2
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The CLASSLA-StanfordNLP model for lemmatisation of standard Serbian 1.1
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Abstract:
The model for lemmatisation of standard Serbian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the SETimes.SR training corpus (http://hdl.handle.net/11356/1200) and using the srLex inflectional lexicon (http://hdl.handle.net/11356/1233). The estimated F1 of the lemma annotations is ~97.9. 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.
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Keyword:
language model; lemmatisation
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URL: http://hdl.handle.net/11356/1288
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The CLASSLA-StanfordNLP model for lemmatisation of non-standard Serbian 1.1
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