[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/treebanks/ru/taiga/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [treebanks](https://md.mova.elamur.ai/free/en/docs/treebanks/) / [ru](https://md.mova.elamur.ai/free/en/docs/treebanks/ru/) / UD_Russian-Taiga

- [papers.md](https://md.mova.elamur.ai/free/en/docs/treebanks/ru/taiga/papers/) — Papers: UD_Russian-Taiga

# UD_Russian-Taiga

Treebank card from UD release 2.18: metadata and texts come from `UD_Russian-Taiga/README.md`; size is counted by streaming the `.conllu` files and checked against the release `stats.xml`. Generated by `tools/treebanks build`; do not edit by hand. Papers: [Papers: UD_Russian-Taiga](https://md.mova.elamur.ai/free/en/docs/treebanks/ru/taiga/papers/); seeds: `seeds/`; converter: `convert.md`.

| Field | Value |
| --- | --- |
| UD name | UD_Russian-Taiga |
| Language | Russian (`ru`) |
| Family | IE |
| Treebank code | `ru_taiga` |
| UD page | [universaldependencies.org/treebanks/ru taiga/index.html](https://universaldependencies.org/treebanks/ru_taiga/index.html) |
| License | CC BY-SA 4.0 |
| Genres | blog, fiction, news, poetry, social, wiki |
| Text in data | yes |
| Parallel | no |
| In UD since | UD v2.2 |
| Authors | Olga Lyashevskaya; Olga Rudina; Natalia Vlasova; Anna Zhuravleva |
| Contact | [olesar@yandex.ru](mailto:olesar@yandex.ru) |
| Development | outside the UD repo (elsewhere): fixes go to the source or the converter |

## Annotation layers

| Layer | Origin |
| --- | --- |
| Lemmas | manual native |
| UPOS | manual native |
| XPOS | manual native |
| Features | manual native |
| Relations | manual native |

UD scale: *manual native* — annotated by hand directly in UD; *converted from manual* — converted from manual annotation in another scheme; *converted with corrections* — converted and partly corrected by hand; *automatic with corrections* — automatic, with partial manual corrections; *automatic* — automatic; *not available* — the layer is absent.

## Size

| Split | Sentences | Tokens | Words | Multiword tokens | Empty nodes |
| --- | --- | --- | --- | --- | --- |
| train | 119 490 | 1 727 873 | 1 727 873 | 0 | 0 |
| dev | 1 260 | 15 624 | 15 624 | 0 | 0 |
| test | 1 217 | 15 440 | 15 440 | 0 | 0 |
| **total** | 121 967 | 1 758 937 | 1 758 937 | 0 | 0 |

Tokens are surface tokens (Spanish `vámonos` is one), words are syntactic words (`vamos` + `nos`); multiword tokens are those split into several words; empty nodes are the `N.M` nodes of the enhanced graph.

## Summary

> Universal Dependencies treebank is based on data samples extracted from Taiga Corpus and MorphoRuEval-2017 and GramEval-2020 shared tasks collections.

## Introduction

> UD Russian Taiga has been developed at the School of Linguistics, National Research University Higher School of Economics in Moscow (HSE/Vyshka). The selection of texts is meant to represent those registers that have not been covered by UD Russian SynTagRus and UD Russian Google Stanford Dependencies, mainly e-communication (blogs and social media). The sentences are extracted from two open data collections. Taiga Corpus ([https://tatianashavrina.github.io/taiga_site/](https://tatianashavrina.github.io/taiga_site/)) is an open-source corpus for machine learning collected by students as part of the curriculum of the MA Program in Computational Linguistics at HSE. MorphoRuEval 2017 text collections ([https://github.com/dialogue-evaluation/morphoRuEval-2017](https://github.com/dialogue-evaluation/morphoRuEval-2017)) is an output of the RuEval shared task 'Evaluation of Russian NLP: Morphological analysis, [http://www.dialog-21.ru/en/evaluation/2017/morphology/](http://www.dialog-21.ru/en/evaluation/2017/morphology/)). GramEval 2020 collection ([competitions.codalab.org/competitions/22902](https://competitions.codalab.org/competitions/22902))[[competitions.codalab.org/competitions/22902](https://competitions.codalab.org/competitions/22902)] is an output of the GramEval 2020 Shared Task on Russian Full Morphology and Dependency Parsing which consists of test data for five genres (social, wiki, news, fiction, poetry).
> 
> The plain text data were tokenized, lemmatized and parsed using UDpipe ([http://ufal.mff.cuni.cz/udpipe](http://ufal.mff.cuni.cz/udpipe)) and checked manually. Corrections were made at all levels: tokenization, lemmata, pos, features, dependency relations.

- [← previous UD_Russian-SynTagRus](https://md.mova.elamur.ai/free/en/docs/treebanks/ru/syntagrus/)
- [↑ back to Russian (ru) — UD 2.18 treebanks](https://md.mova.elamur.ai/free/en/docs/treebanks/ru/)