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UD_Indonesian-GSD

Treebank card from UD release 2.18: metadata and texts come from UD_Indonesian-GSD/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_Indonesian-GSD; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Indonesian-GSD
LanguageIndonesian (id)
FamilyAustronesian
Treebank codeid_gsd
UD pageuniversaldependencies.org/treebanks/id gsd/index.html
LicenseCC BY-SA 4.0
Genresnews, blog
Text in datayes
Parallelno
In UD sinceUD v1.1
AuthorsRyan McDonald; Joakim Nivre; Daniel Zeman; Septina Dian Larasati; Ika Alfina
Contactzeman@ufal.mff.cuni.cz
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasautomatic with corrections
UPOSconverted with corrections
XPOSautomatic with corrections
Featuresautomatic with corrections
Relationsconverted with corrections

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
train4 48295 86697 6021 7340
dev55912 42312 6612380
test55711 54111 7562150
total5 598119 830122 0192 1870

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

The Indonesian-GSD treebank was originally converted from the content head version of the universal dependency treebank v2.0 (legacy) in 2015. In order to comply with the latest Indonesian annotation guidelines, the treebank has undergone a major revision between UD releases v2.8 and v2.9 (2021).

Introduction

  • The treebank consists of 5598 sentences and 122K words, and was divided into three parts:
    • Training dataset consists of around 97K words
    • Development dataset consists of around 12K words
    • Testing dataset consists of around 11K words

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