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UD_French-PUD

Treebank card from UD release 2.18: metadata and texts come from UD_French-PUD/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_French-PUD; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_French-PUD
LanguageFrench (fr)
FamilyIE
Treebank codefr_pud
UD pageuniversaldependencies.org/treebanks/fr pud/index.html
LicenseCC BY-SA 3.0
Genresnews, wiki
Text in datayes
Parallelpud
In UD sinceUD v2.1
AuthorsHans Uszkoreit; Vivien Macketanz; Aljoscha Burchardt; Kim Harris; Katrin Marheinecke; Slav Petrov; Tolga Kayadelen; Mohammed Attia; Ali Elkahky; Zhuoran Yu; Emily Pitler; Saran Lertpradit; Jana Strnadová; Gauthier Caron; Martin Popel; Daniel Zeman; Marie-Catherine de Marneffe; Bruno Guillaume
Contactbruno.guillaume@inria.fr
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasmanual native
UPOSconverted from manual
XPOSnot available
Featuresconverted from manual
Relationsconverted from manual

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
test1 00024 13124 7265950
total1 00024 13124 7265950

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 is a part of the Parallel Universal Dependencies (PUD) treebanks created for the CoNLL 2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies.

Introduction

There are 1000 sentences in each language, always in the same order. (The sentence alignment is 1-1 but occasionally a sentence-level segment actually consists of two real sentences.) The sentences are taken from the news domain (sentence id starts in ‘n’) and from Wikipedia (sentence id starts with ‘w’). There are usually only a few sentences from each document, selected randomly, not necessarily adjacent. The digits on the second and third position in the sentence ids encode the original language of the sentence. The first 750 sentences are originally English (01). The remaining 250 sentences are originally German (02), French (03), Italian (04) or Spanish (05) and they were translated to other languages via English. Translation into German, French, Italian, Spanish, Arabic, Hindi, Chinese, Indonesian, Japanese, Korean, Portuguese, Russian, Thai and Turkish has been provided by DFKI and performed (except for German) by professional translators. Then the data has been annotated morphologically and syntactically by Google according to Google universal annotation guidelines; finally, it has been converted by members of the UD community to UD v2 guidelines.

Additional languages have been provided (both translation and native UD v2 annotation) by other teams: Czech by Charles University, Finnish by University of Turku and Swedish by Uppsala University.

The entire treebank is labeled as test set (and was used for testing in the shared task). If it is used for training in future research, the users should employ ten-fold cross-validation.

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