home edit page issue tracker

This page pertains to UD version 2.

UD Russian Taiga

Language: Russian (code: ru)
Family: Indo-European, Slavic

This treebank has been part of Universal Dependencies since the UD v2.2 release.

The following people have contributed to making this treebank part of UD: Olga Lyashevskaya, Olga Rudina, Natalia Vlasova, Anna Zhuravleva.

Repository: UD_Russian-Taiga
Search this treebank on-line: PML-TQ
Download all treebanks: UD 2.9

License: CC BY-SA 4.0

Genre: blog, fiction, news, poetry, social, wiki

Questions, comments? General annotation questions (either Russian-specific or cross-linguistic) can be raised in the main UD issue tracker. You can report bugs in this treebank in the treebank-specific issue tracker on Github. If you want to collaborate, please contact [olesar (æt) yandex • ru]. Development of the treebank happens outside the UD repository. If there are bugs, either the original data source or the conversion procedure must be fixed. Do not submit pull requests against the UD repository.

Annotation Source
Lemmas annotated manually
UPOS annotated manually, natively in UD style
XPOS annotated manually
Features annotated manually, natively in UD style
Relations annotated manually, natively in UD style

Description

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

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 (https://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) and checked manually. Corrections were made at all levels: tokenization, lemmata, pos, features, dependency relations.

Acknowledgments

We are grateful to all the contributors to the original open Russian data collections and especially to Tatiana Shavrina (Taiga, GramEval-2020) and Alena Fenogenova (MorphoRuEval-2017).

References

Statistics of UD Russian Taiga

POS Tags

ADJADPADVAUXCCONJDETINTJNOUNNUMPARTPRONPROPNPUNCTSCONJSYMVERBX

Features

AbbrAnimacyAspectCaseDegreeForeignGenderMoodNameTypeNumberNumFormNumTypePersonPolarityPossPronTypeReflexTenseTypoVariantVerbFormVoice

Relations

aclacl:relcladvcladvmodamodapposauxaux:passcaseccccompcompoundconjcopcsubjcsubj:passdepdetdiscoursedislocatedexplfixedflatflat:foreignflat:namegoeswithiobjlistmarknmodnsubjnsubj:passnummodnummod:entitynummod:govobjoblobl:agentorphanparataxispunctreparandumrootvocativexcomp

Tokenization and Word Segmentation

Morphology

Tags

Nominal Features

Degree and Polarity

Verbal Features

Pronouns, Determiners, Quantifiers

Other Features

Syntax

Auxiliary Verbs and Copula

Core Arguments, Oblique Arguments and Adjuncts

Here we consider only relations between verbs (parent) and nouns or pronouns (child).

Verbs with Reflexive Core Objects

Relations Overview