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UD_Frisian_Dutch-Fame

Treebank card from UD release 2.18: metadata and texts come from UD_Frisian_Dutch-Fame/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_Frisian_Dutch-Fame; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Frisian_Dutch-Fame
LanguageFrisian Dutch (qfn)
FamilyCode switching
Treebank codeqfn_fame
UD pageuniversaldependencies.org/treebanks/qfn fame/index.html
LicenseCC BY-SA 4.0
Genresspoken
Text in datayes
Parallelno
In UD sinceUD v2.8
AuthorsAnouck Braggaar; Rob van der Goot
Contacta.r.y.braggaar@student.rug.nl
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

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
test4003 7293 72900
total4003 7293 72900

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_Frisian_Dutch-Fame is a selection of 400 sentences from the FAME! speech corpus by Yilmaz et al. (2016a, 2016b). The treebank is manually annotated using the UD scheme.

Introduction

UD_Frisian_Dutch-Fame contains 400 utterances from the FAME! corpus by Yilmaz et al. (2016a, 2016b). It consists of spontaneous spoken code-switched data (Frisian-Dutch). The treebank contains 400 randomly selected utterances all containing at least one code-switch, annotated using the UD scheme. The language labels have been take from the FAME! corpus and can be found in the MISC column. The treebank is described in greater detail in Braggaar and Van der Goot (2021). In the paper a division is made between dev (first 150 utterances) and test (next 250 utterances).

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