Datasets:
Tasks:
Translation
language: | |
- ca | |
- hr | |
- cs | |
- nl | |
- en | |
- et | |
- fi | |
- fr | |
- de | |
- it | |
- la | |
- fa | |
- pl | |
- pt | |
- ru | |
- gd | |
- sh | |
- sl | |
- es | |
- sv | |
- tr | |
multilinguality: | |
- multilingual | |
task_categories: | |
- translation | |
viewer: false | |
> [!NOTE] | |
> Dataset origin: https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3247 | |
# Universal Derivations | |
## Introduction | |
Universal Derivations (UDer) is a collection of harmonised lexical networks capturing word-formation, especially derivation, in a cross-linguistically consistent annotation scheme for many languages. The annotation scheme is based on a rooted tree data structure (as used in the [DeriNet 2.0](http://ufal.mff.cuni.cz/derinet) database), in which nodes correspond to lexemes while edges represent relations between lexemes (derivation, compounding, conversion, spelling variants etc.). For more details see [Universal Derivations webpage](https://ufal.mff.cuni.cz/universal-derivations). | |
## Related tools | |
Each individual resource in the UDer collection can be: | |
- searched online using [DeriSearch v2](https://quest.ms.mff.cuni.cz/derisearch2/v2/databases/), | |
- processed using [DeriNet API](https://github.com/vidraj/derinet/tree/master/tools/data-api/derinet2). | |
For the DeriNet API, there are Jupyter Notebook manuals with: | |
- [description of the objects and functions from API](https://colab.research.google.com/drive/1so-LDMNDghtZw68eG5VT2WdJoD-0Se9f?usp=sharing), | |
- [tutorial to modules](https://colab.research.google.com/drive/1ZU6zc8q4MSthENcAefQb7-rMl_YMwIXE?usp=sharing), | |
- [simple example](https://colab.research.google.com/drive/1lQdYJb_70A2eiVfaFEdPzOoHS8ZvgeF4?usp=sharing). | |
## Authors | |
Lukáš Kyjánek, Zdeněk Žaborktský, Jonáš Vidra, Magda Ševčíková. | |
The original authors of individual data resources harmonised in this collection are listed in README.md file in each individual resource. | |
## How to cite Universal Derivations | |
If you use the collection in your research or need to cite it for any reason, please cite: | |
``` | |
@MISC{UDer-data, | |
title = {Universal Derivations v1.1}, | |
author = {Kyj{\'a}nek, Luk{\'a}{\v s} and {\v Z}abokrtsk{\'y}, Zden{\v e}k and Vidra, Jon{\'a}{\v s} and {\v S}ev{\v c}{\'{\i}}kov{\'a}, Magda}, | |
url = {http://hdl.handle.net/11234/1-3247}, | |
note = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL}), Faculty of Mathematics and Physics, Charles University}, | |
copyright = {Universal Derivations v1.0 License Agreement}, | |
year = {2021} | |
} | |
``` | |
References to individual data resources included in this collection are contained in README.md file in each individual resource. If you use the individual resources, plese cite them too. | |
## Acknowledgment | |
We would like to thank all researchers who made their derivational resources publicly available under open licenses. | |
This work was supported by: | |
- the Grant No. GA19-14534S of the Czech Science Foundation, | |
- the Grant No. START/HUM/010 of Grant schemes at Charles University (reg. No. CZ.02.2.69/0.0/0.0/19_073/0016935), | |
- the Grant No. 1176219 of the Charles University Grant Agency, | |
- the Grant No. SVV260575 of the Charles University, | |
- the LINDAT/CLARIAH CZ project (No. LM2015071, No. LM2018101) of the Ministry of Education, Youth and Sports of the Czech Republic. | |