# Summary

Universal Derivations version of DerivBase.Ru (https://github.com/s231644/DerivBaseRu).


# Introduction

DerivBase.Ru is a word-formation resource for Russian capturing derivationally related nouns, adjectives, verbs, and adverbs. Its  lexemes came from Russian Wikipedia and Wiktionary, and the rules were extracted from several Russian grammar books.The resource is inspired by German DErivBase.

DerivBase.Ru has been harmonized automatically using Machine Learning method.


# Acknowledgments

We wish to thank all the developers and annotators of DerivBase.Ru, including Daniil Vodolazsky (and Anna Nedoluzhko during the harmonization).


## References

As a citation for the resource in articles, please use this:

* Vodolazsky, D. (2020). DerivBase.Ru: A Derivational Morphology Resource for Russian, In Proceedings of the Language Resources and Evaluation (LREC-2020), Marseille.

```
@INPROCEEDINGS{DerivBaseRU,
    title       = {{DerivBase.Ru: A Derivational Morphology Resource for Russian}},
    author      = {Vodolazsky, Daniil},
    booktitle   = {{Proceedings of the Language Resources and Evaluation (LREC-2020)}},
    volume      = {20},
    pages       = {3930--3936},
    year        = {2020},
    address     = {Marseille, France}
}
```


# License

The resource is licensed under the Apache License version 2.0 (Apache-2.0).
License text is available in the file `LICENSE.txt`.


<pre>
=== Machine-readable metadata =================================================
Resource: DerivBase.Ru
Language: Russian
Authors: Vodolazsky, Daniil
License: Apache-2.0
Contact: https://github.com/s231644/DerivBaseRu
===============================================================================
</pre>

<pre>
=== Machine-readable metadata =================================================
Harmonized resource: DErivBase
Harmonized version: 1.0
Data source: https://github.com/s231644/DerivBaseRu/tree/master/data/wiktionary
Data available since: UDer v1.0
Harmonization: automatic
Common features: Morphological categories; Derivational rules
JSON features: was_in_family_with; other_parents
Lemmas: 270473
Relations: 134024
Families: 136449
Singletons: 115987
Avarage tree size: 2.0
Avarage tree depth: 0.3
Avarage tree out-degree: 0.4
Maximum tree size: 1229
Maximum tree depth: 14
Maximum tree out-degree: 35
Part-of-speech: ADJ, 18.1; ADV, 3.1; NOUN, 61.6; NUM, 0.0; VERB, 17.2
Derivational relations: 134024
Conversion relations: 0
Compounding relations: 0
Variant relations: 0
===============================================================================
</pre>