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UD_Maltese-MUDT

Treebank card from UD release 2.18: metadata and texts come from UD_Maltese-MUDT/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_Maltese-MUDT; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Maltese-MUDT
LanguageMaltese (mt)
FamilyAfro-Asiatic
Treebank codemt_mudt
UD pageuniversaldependencies.org/treebanks/mt mudt/index.html
LicenseCC BY-SA 4.0
Genresnews, legal, nonfiction, fiction, wiki
Text in datayes
Parallelno
In UD sinceUD v2.3
AuthorsSlavomír Čéplö; Daniel Zeman
Contactbulbul@bulbul.sk
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasnot available
UPOSconverted from manual
XPOSmanual native
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
train1 12322 88022 88000
dev43310 20910 20900
test51811 07311 07300
total2 07444 16244 16200

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.

Summary

MUDT (Maltese Universal Dependencies Treebank) is a manually annotated treebank of Maltese, a Semitic language of Malta descended from North African Arabic with a significant amount of Italo-Romance influence. MUDT was designed as a balanced corpus with four major genres (see Splitting below) represented roughly equally.

Introduction

Origin

This treebank is the product of the PhD thesis Constituent order in Maltese: A quantitative analysis by Slavomír Čéplö. The text (see References) contains a detailed description of the annotation decisions and composition of the treebank. The treebank was originally produced in accordance with UDv1, then brought up to the UDv2.5 standard.

Splitting

MUDT contains 2074 sentences and 44,162 tokens (both defined orthographically) in the following text types:

Text typeSubtypeSentence count
newspapernews239
op-eds240
Subtotal479
quasi-spokennewspaper interviews280
parliament: debates and Q&A294
Subtotal574
fictionshort stories246
novel chapters251
Subtotal497
non-fictionhumanities249
science, encyclopedic and instructional275
Subtotal524
Total2074

The annotated sentences have been manually split into train, test and dev sets as follows:

FileSentence countToken count
mt_mudt-ud-train.conllu112322880
mt_mudt-ud-test.conllu51811073
mt_mudt-ud-dev.conllu43310209

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