UD_Uzbek-TueCL
Treebank card from UD release 2.18: metadata and texts come from UD_Uzbek-TueCL/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_Uzbek-TueCL; seeds: seeds/; converter: convert.md.
| Field | Value |
|---|---|
| UD name | UD_Uzbek-TueCL |
| Language | Uzbek (uz) |
| Family | Turkic |
| Treebank code | uz_tuecl |
| UD page | universaldependencies.org/treebanks/uz tuecl/index.html |
| License | CC BY-SA 4.0 |
| Genres | grammar-examples |
| Text in data | yes |
| Parallel | cairo tuecl |
| In UD since | UD v2.16 |
| Authors | Arofat Akhundjanova; Çağrı Çöltekin |
| Contact | arak00001@stud.uni-saarland.de |
| Development | in the UD repo (here) |
Annotation layers
| Layer | Origin |
|---|---|
| Lemmas | manual native |
| UPOS | manual native |
| XPOS | not available |
| Features | manual native |
| Relations | manual 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
| Split | Sentences | Tokens | Words | Multiword tokens | Empty nodes |
|---|---|---|---|---|---|
| test | 148 | 939 | 939 | 0 | 0 |
| total | 148 | 939 | 939 | 0 | 0 |
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
The Uzbek-TueCL treebank is part of a parallel Universal Dependencies corpus containing 148 sentences across four Turkic languages: Turkish, Azerbaijani, Kyrgyz, and Uzbek.
Introduction
Uzbek-TueCL consists of 148 carefully selected sentences (940 tokens) compiled from multiple sources, including the Cairo corpus (20 sentences), the UDTW23 corpus (20 sentences), and 97 additional examples illustrating specific grammatical constructions of interest. Tokenization was carried out automatically. Lemmatization, POS tags, morphological features and dependency relations were annotated manually.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/uz/tuecl/