The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.1

Name: The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.1
License: https://creativecommons.org/licenses/by-sa/4.0/

Ljubešić, Nikola; Osenova, Petya; Simov, Kiril; Krsnik, Luka

Prikaži enostavni zapis vnosa

dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Osenova, Petya
dc.contributor.author	Simov, Kiril
dc.contributor.author	Krsnik, Luka
dc.date.accessioned	2021-02-02T08:07:21Z
dc.date.available	2021-02-02T08:07:21Z
dc.date.issued	2021-02-02
dc.identifier.uri	http://hdl.handle.net/11356/1394
dc.description	This model for morphosyntactic annotation 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 CoNLL2017 word embeddings (http://hdl.handle.net/11234/1-1989). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.8. 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.
dc.language.iso	bul
dc.publisher	Jožef Stefan Institute
dc.publisher	IICT-BAS
dc.relation.isreferencedby	http://dx.doi.org/10.18653/v1/W19-3704
dc.relation.replaces	http://hdl.handle.net/11356/1326
dc.relation.isreplacedby	http://hdl.handle.net/11356/1849
dc.rights	Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label	PUB
dc.source.uri	https://github.com/clarinsi/classla-stanfordnlp
dc.subject	part-of-speech tagging
dc.subject	language model
dc.title	The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.1
dc.type	toolService
metashare.ResourceInfo#ContentInfo.detailedType	tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent	true
hidden	hidden
has.files	yes
branding	CLARIN.SI data & tools
contact.person	Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute
sponsor	ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
sponsor	Ministry of Education and Science Republic of Bulgaria DO01-272/16.12.2019 Bulgarian National Interdisciplinary Research e-Infrastructure for Resources and Technologies CLaDA-BG nationalFunds
files.count	2
files.size	175133875