Mova0.5 pre-release⌕
☰
home / docs / treebanks / it / UD_Italian-MarkIT

UD_Italian-MarkIT

Treebank card from UD release 2.18: metadata and texts come from UD_Italian-MarkIT/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_Italian-MarkIT; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Italian-MarkIT
LanguageItalian (it)
FamilyIE
Treebank codeit_markit
UD pageuniversaldependencies.org/treebanks/it markit/index.html
LicenseCC BY 4.0
Genresgrammar-examples
Text in datayes
Parallelno
In UD sinceUD v2.10
AuthorsTeresa Paccosi; Alessio Palmero Aprosio; Sara Tonelli
Contactaprosio@fbk.eu
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

Annotation layers

LayerOrigin
Lemmasautomatic with corrections
UPOSautomatic with corrections
XPOSautomatic with corrections
Featuresautomatic with corrections
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
train61118 75919 8931 1300
dev3419 82410 3995740
test3409 65410 1965420
total1 29238 23740 4882 2460

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

The MarkIT resource contains around 800 sentences extracted from students' essays manually annotated with syntactic depencendies. The treebank covers seven types of marked constructions, plus some ambiguous sentences whose syntax can be wrongly classified as marked.

Introduction

MarkIT is a treebank of marked constructions in Italian, containing around 1,300 sentences with dependency annotation. First we automatically annotate the sentences using Tint, then a manual fix of the errors is performed on the whole dataset. The resource covers seven types of marked constructions plus some ambiguous sentences, whose syntax can be wrongly classified as marked.

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