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UD_Kazakh-KTB

Treebank card from UD release 2.18: metadata and texts come from UD_Kazakh-KTB/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_Kazakh-KTB; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Kazakh-KTB
LanguageKazakh (kk)
FamilyTurkic
Treebank codekk_ktb
UD pageuniversaldependencies.org/treebanks/kk ktb/index.html
LicenseCC BY-SA 4.0
Genreswiki, fiction, news
Text in datayes
Parallelno
In UD sinceUD v1.3
AuthorsAibek Makazhanov; Jonathan North Washington; Francis Tyers
Contactaibek.makazhanov@nu.edu.kz, jonathan.north.washington@gmail.com, ftyers@prompsit.com
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

Annotation layers

LayerOrigin
Lemmasmanual native
UPOSconverted from manual
XPOSmanual native
Featuresconverted from manual
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
train3152052990
test1 0479 97510 007320
total1 07810 49510 536410

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

The UD Kazakh treebank is a combination of text from various sources including Wikipedia, some folk tales, sentences from the UDHR, news and phrasebook sentences. Sentences IDs include partial document identifiers.

Introduction

The tokenisation in the Kazakh UD treebank follows the principles of Turkic lexica in Apertium. Morphological processing in the Kazakh UD treebank follows the principles of Turkic lexica in Apertium. The file designated as “train” is just a small sample to show how the data looks like to shared task participants. The treebank is too small to provide for a standard training-development-test split. Instead, users are advised to merge both files, then jack-knife and report results of ten-fold cross-validation.

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