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UD_Ligurian-GLT

Treebank card from UD release 2.18: metadata and texts come from UD_Ligurian-GLT/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_Ligurian-GLT; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Ligurian-GLT
LanguageLigurian (lij)
FamilyIE
Treebank codelij_glt
UD pageuniversaldependencies.org/treebanks/lij glt/index.html
LicenseC-UDA 1.0
Genresnonfiction, fiction, news, wiki, bible, spoken, grammar-examples
Text in datayes
Parallelcairo
In UD sinceUD v2.9
AuthorsStefano Lusito; Jean Maillard
Contactstefano.lusito@uibk.ac.at
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

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
train2022122650
test2966 3476 7023500
total3166 5686 9283550

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 dev are absent from the release.

Summary

The Genoese Ligurian Treebank is a small, manually annotated collection of contemporary Ligurian prose. The focus of the treebank is written Genoese, the koiné variety of Ligurian which is associated with today's literary, journalistic and academic ligurophone sphere.

Introduction

This dataset represents the first dependency treebank of Ligurian ever collected. The materials included span several genres, and have been extracted from the most varied sources in order to reflect variation in syntax and register.

The largest source of material is the fiction domain, represented by excerpts from three novels by contemporary authors or translators. We also include a news article, a current affairs article, a passage from the Bible, two entries from the Ligurian Wikipedia, a number of example sentences from a grammar book, and the transcript of a short radio broadcast. All these documents make up the test split of the dataset. The training split consists of translations of the sentences from the Cairo CICLing Corpus.

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