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UD_Sinhala-Appuwa

Treebank card from UD release 2.18: metadata and texts come from UD_Sinhala-Appuwa/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_Sinhala-Appuwa; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Sinhala-Appuwa
LanguageSinhala (si)
FamilyIE
Treebank codesi_appuwa
UD pageuniversaldependencies.org/treebanks/si appuwa/index.html
LicenseCC BY-SA 4.0
Genresfiction
Text in datayes
Parallelno
In UD sinceUD v2.18
AuthorsWarangana Sammani; Luigi Talamo; Annemarie Verkerk
Contactluigi.talamo@uni-saarland.de
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
test6966966900
total6966966900

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

This treebank contains a manually annotated Sinhala narrative based on the folk story "Appuwa", created as part of a project on treebank development for understudied languages within the Universal Dependencies framework.

Introduction

This treebank is based on the Sinhala folk story "Appuwa", a traditional narrative from Sri Lankan culture. The data was provided as text and annotated for linguistic analysis using the Universal Dependencies (UD) framework.

The treebank was developed within the context of the project "Treebanks for the cross-linguistic study of coercive discourse in understudied languages". The goal of this effort is to contribute linguistic resources for Sinhala, a relatively under-resourced language in computational linguistics.

All annotation was carried out manually using ArboratorGrew, following UD guidelines. The annotation includes tokenization, morphological features, and syntactic dependency relations. Validation was performed using the official UD validation tools.

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