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

  Authors

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

  Item identifier

http://hdl.handle.net/11356/1394

 Project URL

https://github.com/clarinsi/classla-stanfordnlp

 Referenced by

http://dx.doi.org/10.18653/v1/W19-3704

 Date issued

2021-02-02

 Type

toolService

 Language(s)

Bulgarian

 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.

 Publisher

Jožef Stefan Institute

 

IICT-BAS

 Acknowledgement

ARRS (Slovenian Research Agency) P6-0411 "Language Resources and Technologies for Slovene"

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"

 Subject(s)

part-of-speech tagging language model

 Collection(s)

CLARIN.SI data & tools

 

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