The model for lemmatisation of non-standard Slovenian was built with the [CLASSLA-Stanza tool](https://github.com/clarinsi/classla) by training on the [SUK training corpus](http://hdl.handle.net/11356

SSH Open MarketPlace2023-10-13 更新120

The CLASSLA-Stanza model for JOS dependency parsing of standard Slovenian 2.0

依存句法分析

斯洛文尼亚语处理

This model for JOS dependency parsing of standard Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SUK training corpus...

B2FIND50

Data for the Journal Paper Machine Learning-Based Context-Aware Lemmatization for Low-Resource Languages: A Case Study of Setswana

低资源自然语言处理

词形还原

Efficient natural language processing (NLP) tools for Setswana are essential for improving human-machine interaction, yet the language remains underrepresented in computational linguistics due to its

DataCite Commons2025-10-20 更新30

The CLASSLA-Stanza model for lemmatisation of non-standard Slovenian 2.1

资源简介：

The CLASSLA-Stanza model for lemmatisation of non-standard Slovenian 2.1

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