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; 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 |
| 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 |
| 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/) 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) is an output of the RuEval shared task 'Evaluation of Russian NLP: Morphological analysis, http://www.dialog-21.ru/en/evaluation/2017/morphology/). GramEval 2020 collection (competitions.codalab.org/competitions/22902)[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) and checked manually. Corrections were made at all levels: tokenization, lemmata, pos, features, dependency relations.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/ru/taiga/