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UD_Veps-VWT

Treebank card from UD release 2.18: metadata and texts come from UD_Veps-VWT/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_Veps-VWT; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Veps-VWT
LanguageVeps (vep)
FamilyUralic
Treebank codevep_vwt
UD pageuniversaldependencies.org/treebanks/vep vwt/index.html
LicenseCC BY-SA 4.0
Genresgrammar-examples
Text in datayes
Parallelno
In UD sinceUD v2.13
AuthorsKäbi Laan
Contactkaebi.laan@gmail.com
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasmanual native
UPOSmanual native
XPOSnot available
Featuresmanual native
Relationsmanual 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

SplitSentencesTokensWordsMultiword tokensEmpty nodes
test1031 3031 30300
total1031 3031 30300

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. Splits train, dev are absent from the release.

Summary

UD Veps-VWT is a manually annotated corpus of Veps made using the Universal dependencies annotation scheme. The data is collected from VepKar corpora and consists of mostly modern news texts written in Central Veps dialect.

Introduction

UD Veps-VWT is a manually annotated corpus of Veps made in Universal dependencies annotation scheme. The data is collected from VepKar corpora and consists of mostly modern news texts written in Central Veps dialect. The morphological annotations and grammatical decisions are based on the language studies made by Riho Grünthal and different Veps dictionaries (by Nina Zaitseva). Many syntactic decisions are based on pre-existing Finnish, Estonian, Karelian and Russian treebanks.

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/vep/vwt/