Universal Dependencies for Russian: A New Syntactic Dependencies Tagset

Posted: 27 Oct 2016 Last revised: 18 Feb 2017

See all articles by Olga Lyashevkaya

Olga Lyashevkaya

National Research University Higher School of Economics

Kira Droganova

Charles University in Prague

Daniel Zeman

Charles University in Prague

Maria Alexeeva

National Research University Higher School of Economics

Tatiana Gavrilova

National Research University Higher School of Economics

Nina Mustafina

National Research University Higher School of Economics

Elena Shakurova

National Research University Higher School of Economics

Date Written: October 27, 2016

Abstract

This paper presents the Universal Dependencies tagset (UD v1) as a new annotation scheme for Russian treebanks. The universal list of dependency relations was adopted and extended to comply with certain language-specific syntactic constructions. The tagset was validated, converting two Russian treebanks into the UD format, UD-Russian-SynTagRus and UD-Russian-Google.

Keywords: natural language processing, dependency parsing, universal dependencies, Russian language

JEL Classification: Z

Suggested Citation

Lyashevkaya, Olga and Droganova, Kira and Zeman, Daniel and Alexeeva, Maria and Gavrilova, Tatiana and Mustafina, Nina and Shakurova, Elena, Universal Dependencies for Russian: A New Syntactic Dependencies Tagset (October 27, 2016). Higher School of Economics Research Paper No. WP BRP 44/LNG/2016, Available at SSRN: https://ssrn.com/abstract=2859998 or http://dx.doi.org/10.2139/ssrn.2859998

Olga Lyashevkaya (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Kira Droganova

Charles University in Prague ( email )

Celetná 13
Praha 1, 116 36
Czech Republic

Daniel Zeman

Charles University in Prague ( email )

Celetná 13
Praha 1, 116 36
Czech Republic

Maria Alexeeva

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Tatiana Gavrilova

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Nina Mustafina

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Elena Shakurova

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
861
PlumX Metrics