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UD_Swedish-SweLL

Treebank card from UD release 2.18: metadata and texts come from UD_Swedish-SweLL/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_Swedish-SweLL; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Swedish-SweLL
LanguageSwedish (sv)
FamilyIE
Treebank codesv_swell
UD pageuniversaldependencies.org/treebanks/sv swell/index.html
LicenseCC BY-SA 4.0
Genreslearner-essays
Text in datayes
Parallelno
In UD sinceUD v2.17
AuthorsArianna Masciolini; Aleksandrs Berdicevskis; Maria Irena Szawerna; Caroline Grand-Clement
Contactarianna.masciolini@gu.se
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

Annotation layers

LayerOrigin
Lemmasmanual native
UPOSmanual native
XPOSnot available
Featuresautomatic with corrections
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
test64310 89510 89500
total64310 89510 89500

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 treebank of learner Swedish based on SweLL, the Swedish Learner Language corpus.

Introduction

UD_Swedish-SweLL is a parallel learner treebank based on SweLL, the Swedish Learner Language corpus.

More specifically, the treebank currently features 643 sentences from SweLL-gold, a corpus of essays written by adult learners of Swedish as a second language (L2):

  • a test set consisting of 509 randomly selected sentences
  • 134 sentences auhtored by French speakers (added in v2.18)

All essays in SweLL-gold are manually pseudonymized, error-labelled and normalized, i.e. accompanied by a correction hypothesis. Error labels are available in the MISC field. While the current UD release only includes original learner sentences, such corrections are available in the not-to-release folder of this repository.

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