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UD_Albanian-TSA

Treebank card from UD release 2.18: metadata and texts come from UD_Albanian-TSA/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_Albanian-TSA; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Albanian-TSA
LanguageAlbanian (sq)
FamilyIE
Treebank codesq_tsa
UD pageuniversaldependencies.org/treebanks/sq tsa/index.html
LicenseCC BY-SA 4.0
Genreswiki
Text in datayes
Parallelno
In UD sinceUD v2.6
AuthorsMarsida Toska
Contactm_a_r_c_y_94@hotmail.com
Developmentin the UD repo (here)

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
test6092292200
total6092292200

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

The UD Albanian Treebank is a small treebank for Standard Albanian, developed within a project framework at Uppsala University. The data was extracted from Wikipedia.

Introduction

The UD Treebank for Standard Albanian (TSA) is a small treebank that consists of 60 sentences corresponding to 922 tokens. The data was collected from different Wikipedia entries. This treebank was created mainly manually following the Universal Dependencies guidelines. The lemmatization was performed using the lemmatizer bitbucket.org/timarkh/uniparser-albanian-grammar/src/master developed by the Albanian National Corpus team (Maria Morozova, Alexander Rusakov, Timofey Arkhangelskiy). Tagging and Morphological Analysis were semi-automated through python scripts and corrected manually, whereas Dependency relations were assigned fully manually. We encourage any initiatives to increase the size and/or improve the overall quality of the Treebank.

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