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UD_Indonesian-CSUI

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

FieldValue
UD nameUD_Indonesian-CSUI
LanguageIndonesian (id)
FamilyAustronesian
Treebank codeid_csui
UD pageuniversaldependencies.org/treebanks/id csui/index.html
LicenseCC BY-SA 4.0
Genresnonfiction, news
Text in datayes
Parallelno
In UD sinceUD v2.7
AuthorsIka Alfina; Jessica Naraiswari Arwidarasti; Muhammad Yudistira Hanifmuti; Arawinda Dinakaramani; Ruli Manurung; Fam Rashel; Andry Luthfi
Contactika.alfina@cs.ui.ac.id
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasautomatic with corrections
UPOSconverted with corrections
XPOSconverted 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
train65617 90418 2223180
test3749 86710 0411740
total1 03027 77128 2634920

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 dev are absent from the release.

Summary

UD Indonesian-CSUI is a conversion from an Indonesian constituency treebank in the Penn Treebank format named Kethu that was also a conversion from a constituency treebank built by Dinakaramani et al. (2015). We named this treebank Indonesian-CSUI, since all the three versions of the treebanks were built at Faculty of Computer Science, Universitas Indonesia.

Introduction

UD Indonesian-CSUI treebank was converted automatically from the Kethu treebank, an Indonesian constituency treebank in the Penn Treebank format. The Kethu treebank itself was converted from a consituency treebank built by Dinakaramani et al. (2015).

Other characteristics of the treebank:

  • Genre: news in formal Indonesian (the majority is economic news)
  • This treebank consists of 1030 sentences and 28K words. We divide CSUI treebank into testing and training dataset:
    • Testing dataset consists of around 10K words
    • Training dataset consists of around 18K words
  • Average sentence length is around 27.4 words per-sentence, which is very high compare to the Indonesian-PUD treebank that has average sentence length of 19.4.

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