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UD_Chinese-Beginner

Treebank card from UD release 2.18: metadata and texts come from UD_Chinese-Beginner/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_Chinese-Beginner; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Chinese-Beginner
LanguageChinese (zh)
FamilySino-Tibetan
Treebank codezh_beginner
UD pageuniversaldependencies.org/treebanks/zh beginner/index.html
LicenseCC BY-NC-SA 3.0
Genresgrammar-examples
Text in datayes
Parallelno
In UD sinceUD v2.13
AuthorsKirian Guiller; Yidi Huang; Yixuan Li; Qishen Wu; Bruno Guillaume; Sylvain Kahane; Kim Gerdes
Contactkiriangui@gmail.com
Developmentin the UD repo (here)

Annotation layers

LayerOrigin
Lemmasmanual native
UPOSmanual native
XPOSnot available
Featuresmanual native
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
test2 29519 99919 99900
total2 29519 99919 99900

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

A treebank of Chinese sentences adapted for learner of level A1 to C1 (HSK1 to 5) collected on the [Chinese Grammar Wiki](resources.allsetlearning.com/chinese/grammar) (CC BY-NC-SA 3.0 License) website. The treebank was manually annotated by researchers of Paris Nanterre University (Modyco) in the mSUD annotation schema (morpheme level Surface Universal Dependencies).

Introduction

The syntactic analysis is originally done in SUD on the character level under the name SUD_Chinese-PatentChar. See SUD Guidelines : surfacesyntacticud.github.io/guidelines/u

Structure of the Treebank

The Treebank is partitioned in 5 parts A1, A2, B1, B2 and C1 that represents different level of difficulty (from easiest to hardest).

/!\ At the day of October 12th of 2023, 2295 sentences have been hand annotated (around 20k tokens in total). But below is the complete distribution of the corpus when it will be finished.

The corpus is made of around 4300 sentences, with the following distribution :

  • A1 : 382 sentences (3456 tokens , ~ 9.05 tokens per sentences)
  • A2 : 1103 sentences (11920 tokens, ~ 10.80 tokens per sentences)
  • B1 : 1347 sentences (18236 tokens, ~ 15.54 tokens per sentences)
  • B2 : 1441 sentences (24419 tokens, ~ 16.95 tokens per sentences)
  • C1 : 300 sentences (5482 tokens, ~ 18.27 tokens per sentences)

Data Split

The treebank is still being annotated and around 40% of the sentences are yet to be annotated or validated. Therefore, the current version is not representative of the final distribution which prevent us for doing a representative data split that would be stable across release (see UD data split guidelines). Until the treebank is fully annotated, we will not split the data and release all sentences in a single test folder. Please perform 10 fold cross validation if you are using this treebank for any machine learning task.

Structure of a sentence

Here an example of the meta data that each sentences contains :

# sent_id = 1
# structure = 没 + 有 (+ Obj.)
# text = 我没有问题。
# level = A1
# structure_verbose = Negation of "you" with "mei"
# url = https://resources.allsetlearning.com/chinese/grammar/ASGPNV3Q
# text_en = I don't have any questions.
# translit = Wǒ méiyǒu wèntí.
# text_orig = 我 没有 问题。

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