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UD_Japanese-GSDLUW

Treebank card from UD release 2.18: metadata and texts come from UD_Japanese-GSDLUW/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_Japanese-GSDLUW; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Japanese-GSDLUW
LanguageJapanese (ja)
FamilyJapanese
Treebank codeja_gsdluw
UD pageuniversaldependencies.org/treebanks/ja gsdluw/index.html
LicenseCC BY-SA 4.0
Genresnews, blog
Text in datayes
Paralleljagsd
In UD sinceUD v2.9
AuthorsMai Omura; Yusuke Miyao; Hiroshi Kanayama; Hiroshi Matsuda; Aya Wakasa; Kayo Yamashita; Masayuki Asahara; Takaaki Tanaka; Yugo Murawaki; Yuji Matsumoto; Shinsuke Mori; Sumire Uematsu; Ryan McDonald; Joakim Nivre; Daniel Zeman
Contactmasayu-a@ninjal.ac.jp
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasconverted from manual
UPOSconverted from manual
XPOSmanual native
Featuresnot available
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
train7 050130 284130 28400
dev5079 5319 53100
test54310 42810 42800
total8 100150 243150 24300

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

This Universal Dependencies (UD) Japanese treebank is based on the definition of UD Japanese convention described in the UD documentation. The original sentences are from Google UDT 2.0.

Introduction

The Japanese UD treebank contains the sentences from Google Universal Dependency Treebanks v2.0 (legacy): github.com/ryanmcd/uni-dep-tb. First, Google UDT v2.0 was converted to UD-style with bunsetsu-based word units (say "master" corpus).

The word units in "master" is significantly different from the definition of the documents based on Short Word Unit (SWU) [1], then the sentences are automatically re-processed by Hiroshi Kanayama in Feb 2017. It is the Japanese_UD v2.0 and used in the CoNLL 2017 shared task. In November 2017, UD_Japanese v2.0 is merged with the "master" data so that the manual annotations for dependencies can be reflected to the corpus. It reduced the errors in the dependency structures and relation labels.

Still there are slight differences in the word unit between UD_Japanese v2.1 and UD_Japanese-KTC 1.3.

In May 2020, we introduce UD_Japanese BCCWJ[3] like coversion method for UD_Japanese GSD v2.6.

In May 2021, we introduce the other word segmentation version of UD_Japanese-GSD.

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