Mova0.5 pre-release⌕
☰
home / docs / treebanks / gsw / UD_Alemannic-DIVITAL

UD_Alemannic-DIVITAL

Treebank card from UD release 2.18: metadata and texts come from UD_Alemannic-DIVITAL/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_Alemannic-DIVITAL; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Alemannic-DIVITAL
LanguageAlemannic (gsw)
FamilyIE
Treebank codegsw_divital
UD pageuniversaldependencies.org/treebanks/gsw divital/index.html
LicenseCC BY-SA 4.0
Genresfiction, nonfiction, legal, spoken, wiki, bible
Text in datayes
Parallelno
In UD sinceUD v2.17
AuthorsNathanaël Beiner; Barbara Hoff; Delphine Bernhard
Contactdbernhard@unistra.fr
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasnot available
UPOSmanual native
XPOSnot available
Featuresnot available
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
test97719 33419 7434090
total97719 33419 7434090

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_Alemannic-DIVITAL is a manually corrected treebank of Alemannic Alsatian consisting of sentences from several genres.

Introduction

The corpus consists mostly of Low Alemannic Alsatian sentences. The sentences have been automatically annotated and manually verified.

The MISC column includes a gloss in French (Gloss[fr]) and a lemma in German (Lemma[de]).

Document metadata is included at the beginning of each new document (#newdoc): author, source, genre, audience, discourse_type, domain, factuality, form, origin, channel, language_variety.

For details on the pre-annotation and manual correction process see:

The annotation guidelines are detailed in:

Information on metadata can be found in:

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