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The Trankit model for linguistic processing of written and spoken Slovenian 1.3
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... -
The Trankit model for linguistic processing of written and spoken Slovenian 1.2
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... -
Trankit model for SST 2.15 1.1
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 SST treebank... -
The Trankit model for linguistic processing of spoken and written Slovenian 1.1
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... -
The Trankit model for linguistic process of standard written Slovenian 1.1
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 reference SSJ... -
Trankit model for linguistic processing of spoken Slovenian
This is a retrained Slovenian spoken language model for Trankit v1.1.1 library (https://pypi.org/project/trankit/). It is able to predict sentence segmentation, tokenization,... -
The Trankit model for linguistic processing of standard Slovenian
This is a retrained Slovenian standard model for Trankit v1.1.1 library (https://pypi.org/project/trankit/). It is able to predict sentence segmentation, tokenization,... -
Czech Grammar Agreement Dataset for Evaluation of Language Models
AGREE is a dataset and task for evaluation of language models based on grammar agreement in Czech. The dataset consists of sentences with marked suffixes of past tense verbs.... -
google22
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Fine-tuned models for extractive question answering in the Slovenian language
6 different fine-tuned Transformer-based models that solve the downstream task of extractive question answering in the Slovenian language. The fine-tuned models included are:... -
Text collection for training the BERTić transformer model BERTić-data
The BERTić-data text collection contains more than 8 billion tokens of mostly web-crawled text written in Bosnian, Croatian, Montenegrin or Serbian. The collection was used to... -
The CLASSLA-Stanza model for lemmatisation of standard Croatian 2.1
The model for lemmatisation of standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the hr500k training corpus... -
The CLASSLA-StanfordNLP model for lemmatisation of standard Croatian 1.1
The model for lemmatisation of standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the hr500k training... -
The CLASSLA-StanfordNLP model for named entity recognition of non-standard Sl...
This model for named entity recognition of non-standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on... -
The CLASSLA-Stanza model for lemmatisation of standard Macedonian 2.1
The model for lemmatisation of standard Macedonian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the 1984 training... -
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Serb...
The model for morphosyntactic annotation of standard Serbian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the... -
Slovenian RoBERTa contextual embeddings model: SloBERTa 1.0
The monolingual Slovene RoBERTa (A Robustly Optimized Bidirectional Encoder Representations from Transformers) model is a state-of-the-art model representing words/tokens as... -
The CLASSLA-Stanza model for lemmatisation of non-standard Serbian 2.1
The model for lemmatisation of non-standard Serbian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SETimes.SR training corpus... -
The CLASSLA-StanfordNLP model for named entity recognition of non-standard Cr...
This model for named entity recognition of non-standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the... -
The CLASSLA-StanfordNLP model for lemmatisation of non-standard Serbian 1.1
The model for lemmatisation of non-standard Serbian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the SETimes.SR...
