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UD_Northwest_Gbaya-Autogramm

Treebank card from UD release 2.18: metadata and texts come from UD_Northwest_Gbaya-Autogramm/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_Northwest_Gbaya-Autogramm; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Northwest_Gbaya-Autogramm
LanguageNorthwest Gbaya (gya)
FamilyNiger-Congo
Treebank codegya_autogramm
UD pageuniversaldependencies.org/treebanks/gya autogramm/index.html
LicenseCC BY-SA 4.0
Genresspoken
Text in datayes
Parallelno
In UD sinceUD v2.15
AuthorsPaulette Roulon
Contactpauletteroulon@gmail.com
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

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
test4032 6922 69200
total4032 6922 69200

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

A Universal Dependencies corpus for Northwest Gbaya, a member of the Gbaya branch of the Atlantic-Congo phylum. The language is mainly spoken by about 250,000 speakers in Central African Republic.

Introduction

The treebank is an automatic conversion of the mSUD_Northwest_Gbaya-Autogramm, which was extracted from Paulette Roulon's corpus in Elan format (https://corpafroas.huma-num.fr/Archives/corpus.php).

Sentences are annotated with the following metadata:

  • sent_id (which indicates the source file and the segmentation identifier in the source file)
  • speaker_id (which identifies the turn of speech)
  • sound_url (which enables playback of the audio recording) (to be added)
  • sent_timecode (which enables playback of the sentence)
  • text (lexical tokenization)
  • text_fr (French interpretation)

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