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UD_South_Levantine_Arabic-MADAR

Treebank card from UD release 2.18: metadata and texts come from UD_South_Levantine_Arabic-MADAR/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_South_Levantine_Arabic-MADAR; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_South_Levantine_Arabic-MADAR
LanguageSouth Levantine Arabic (ajp)
FamilyAfro-Asiatic
Treebank codeajp_madar
UD pageuniversaldependencies.org/treebanks/ajp madar/index.html
LicenseCC BY-SA 4.0
Genresspoken, social
Text in datayes
Parallelno
In UD sinceUD v2.7
AuthorsShorouq Zahra
Contactshorouqjzahra@gmail.com
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasmanual native
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
test10078978900
total10078978900

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 South_Levantine_Arabic-MADAR treebank consists of 100 manually-annotated sentences taken from the MADAR (Multi-Arabic Dialect Applications and Resources) project.

TO-DO: Add 20 annotated sentences from CCC as a train set.

Introduction

The treebank contains 100 manually annotated sentences in the South Levantine dialect primarily spoken in Amman. The sentences were taken from the "MADAR Parallel Corpus Dataset" (Bouamor et al., 2018) which consists of parallel texts translated into 25 dialects spoken in 25 diferent cities in the Arab World. The original texts were taken from the Basic Traveling Expression Corpus (BTEC) (described in Takezawa et al., 2007).

Sentences in the treebank can best be described as short conversational tourism-related texts.

The treebank was created as part of the "Language Technology: Research and Development" course at Uppsala University. You can view the report here: "Parsing Low-Resource Levantine Arabic: Annotation Projection versus Small-Sized Annotated Data". The report describes two methods for parsing low-resource Levantine Arabic using the treebank provided in this repo (but split instead into three sets: train, dev, and test).

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