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UD_English-GENTLE

Treebank card from UD release 2.18: metadata and texts come from UD_English-GENTLE/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_English-GENTLE; seeds: seeds/; converter: GENTLE ↔ mova — converter draft.

FieldValue
UD nameUD_English-GENTLE
LanguageEnglish (en)
FamilyIE
Treebank codeen_gentle
UD pageuniversaldependencies.org/treebanks/en gentle/index.html
LicenseCC BY-NC-SA 4.0
Genresacademic, grammar-examples, legal, medical, nonfiction, poetry, social, spoken
Text in datayes
Parallelno
In UD sinceUD v2.12
AuthorsTatsuya Aoyama; Shabnam Behzad; Luke Gessler; Lauren Levine; Yi-Ju Jessica Lin; Yang Janet Liu; Siyao Logan Peng; Yilun Zhu; Amir Zeldes
Contactamir.zeldes@georgetown.edu
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

Annotation layers

LayerOrigin
Lemmasmanual native
UPOSconverted from manual
XPOSmanual native
Featuresconverted from manual
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
test1 33417 61917 7991800
total1 33417 61917 7991800

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

Repository for the Genre Tests for Linguistic Evaluation (GENTLE) Corpus

Introduction

This repository contains release versions of the Genre Tests for Linguistic Evaluation (GENTLE) corpus, an English out-of-domain test set following the same multilayer annotations found in the GUM corpus. The texts are of the following 8 genres:

  • dictionary entries
  • live esports commentary
  • legal documents
  • medical notes
  • poetry
  • mathematical proofs
  • course syllabuses
  • threat letters

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