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UD_Turkish-Tourism

Treebank card from UD release 2.18: metadata and texts come from UD_Turkish-Tourism/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_Turkish-Tourism; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Turkish-Tourism
LanguageTurkish (tr)
FamilyTurkic
Treebank codetr_tourism
UD pageuniversaldependencies.org/treebanks/tr tourism/index.html
LicenseCC BY-SA 4.0
Genresreviews
Text in datayes
Parallelno
In UD sinceUD v2.8
AuthorsAslı Kuzgun; Neslihan Cesur; Olcay Taner Yıldız; Oğuzhan Kuyrukçu; Büşra Marşan; Bilge Nas Arıcan; Neslihan Kara; Deniz Baran Aslan; Ezgi Sanıyar; Cengiz Asmazoğlu
Contactkuzgunasli@gmail.com / olcay.yildiz@ozyegin.edu.tr
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

Annotation layers

LayerOrigin
Lemmasconverted from manual
UPOSconverted from manual
XPOSconverted from manual
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
train15 47370 87770 87700
dev2 16610 16910 16900
test2 19110 10610 10600
total19 83091 15291 15200

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

Turkish Tourism is a domain specific treebank consisting of 19,750 manually annotated sentences and 92,200 tokens. These sentences were taken from the original customer reviews of a tourism company.

Introduction

Turkish Tourism is the first domain specific treebank of Turkish. It consists of 19,750 manually annotated sentences and and 92,200 tokens. The corpus consists of hotel/restaurant reviews of a booking company. The data is split into half by test and training files.

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