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UD_Middle_Armenian-ArmTDP

Treebank card from UD release 2.18: metadata and texts come from UD_Middle_Armenian-ArmTDP/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_Middle_Armenian-ArmTDP; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Middle_Armenian-ArmTDP
LanguageMiddle Armenian (axm)
FamilyIE
Treebank codeaxm_armtdp
UD pageuniversaldependencies.org/treebanks/axm armtdp/index.html
LicenseCC BY-SA 4.0
Genreslegal, medical
Text in datayes
Parallelno
In UD sinceUD v2.18
AuthorsAnna S. Danielyan; Marat M. Yavrumyan
Contactadanielyan@ysu.am
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
test271 0281 093650
total271 0281 093650

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 Universal Dependencies treebank for Middle Armenian developed for UD originally by the ArmTDP team led by Marat M. Yavrumyan at the Yerevan State University.

Introduction

The UD_Middle_Armenian-ArmTDP treebank is derived from the Middle Armenian component of the ArmTDP v3.0 (Հայերենի ծառադարան), a comprehensive corpus of the Armenian language across various genres. Adhering strictly to Universal Dependencies (UD) guidelines, the dataset was manually annotated by the ArmTDP team. The processing pipeline—including tokenization and POS-tagging—utilized a hybrid approach of glossary-based automation followed by rigorous manual revision. As the only manually verified corpus of Middle Armenian, it provides exhaustive morphological and syntactic annotations, featuring complete dependency trees for every sentence.

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