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dc.contributor.author Krsnik, Luka
dc.contributor.author Dobrovoljc, Kaja
dc.contributor.author Terčon, Luka
dc.date.accessioned 2024-12-06T13:47:25Z
dc.date.available 2024-12-06T13:47:25Z
dc.date.issued 2024-12-06
dc.identifier.uri http://hdl.handle.net/11356/1997
dc.description This is a retrained Slovenian model for the Trankit v1.1.1 library for multilingual natural language processing (https://pypi.org/project/trankit/), trained on the concatenation of the SSJ UD treebank of written Slovenian (featuring fiction, non-fiction, periodicals and Wikipedia texts) and the SST UD treebank of spoken Slovenian (featuring transcriptions of spontaneous speech in various settings). It is able to predict sentence segmentation, tokenization, lemmatization, language-specific morphological annotation (MULTEXT-East morphosyntactic tags), as well as universal part-of-speech tagging, morphological features, and dependency parses in accordance with the Universal Dependencies annotation scheme (https://universaldependencies.org/). In comparison to its counterpart models trained on SSJ (http://hdl.handle.net/11356/1963) or SST datasets only, this model yields a significantly better performance on spoken transcripts and an identical state-of-the-art performance on written texts. The model can therefore be recommended as the default, 'universal' Trankit model for processing Slovenian, regardless of the data type. To utilize this model, please follow the instructions provided in our github repository (https://github.com/clarinsi/trankit-train) or refer to the Trankit documentation (https://trankit.readthedocs.io/en/latest/training.html#loading). This ZIP file contains models for both xlm-roberta-large (which delivers better performance but requires more hardware resources) and xlm-roberta-base. In comparison to the previous version, this version was trained on a newer, slightly improved version of the SSJ UD treebank (UD v2.14, https://github.com/UniversalDependencies/UD_Slovenian-SSJ/tree/r2.14) and a substantially extended and improved version of the SST UD treebank (https://github.com/UniversalDependencies/UD_Slovenian-SST/tree/r2.15), thus producing significantly better results for spoken data. In contrast to the previous versions of this model (1.0, 1.1), the model 1.2 was trained on a new SST train-dev-test split introduced in UD v2.15.
dc.language.iso slv
dc.publisher Centre for Language Resources and Technologies, University of Ljubljana
dc.relation.isreferencedby https://arxiv.org/pdf/2101.03289.pdf
dc.relation.replaces http://hdl.handle.net/11356/1965
dc.rights Apache License 2.0
dc.rights.uri https://opensource.org/licenses/Apache-2.0
dc.rights.label PUB
dc.source.uri https://github.com/clarinsi/trankit-train
dc.subject language model
dc.subject lemmatisation
dc.subject tokenisation
dc.subject sentence segmentation
dc.subject part-of-speech tagging
dc.subject feature prediction
dc.subject parsing
dc.subject dependency parsing
dc.subject corpus annotation
dc.title The Trankit model for linguistic processing of written and spoken Slovenian 1.2
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files yes
branding CLARIN.SI data & tools
contact.person Luka Krsnik krsnik.luka92@gmail.com Luka Krsnik
contact.person Kaja Dobrovoljc kaja.dobrovoljc@ff.uni-lj.si Faculty of Arts, University of Ljubljana
sponsor ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
sponsor ARRS (Slovenian Research Agency) Z6-4617 Treebank-Driven Approach to the Study of Spoken Slovenian nationalFunds
files.count 1
files.size 152575109


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