UD_Tatar-NMCTT
Treebank card from UD release 2.18: metadata and texts come from UD_Tatar-NMCTT/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_Tatar-NMCTT; seeds: seeds/; converter: convert.md.
| Field | Value |
|---|---|
| UD name | UD_Tatar-NMCTT |
| Language | Tatar (tt) |
| Family | Turkic |
| Treebank code | tt_nmctt |
| UD page | universaldependencies.org/treebanks/tt nmctt/index.html |
| License | CC BY-SA 4.0 |
| Genres | nonfiction, news |
| Text in data | yes |
| Parallel | no |
| In UD since | UD v2.9 |
| Authors | Chihiro Taguchi |
| Contact | c.taguchi@sms.ed.ac.uk |
| 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 | 2 280 | 2 280 | 0 | 0 |
| total | 148 | 2 280 | 2 280 | 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
UD Tatar-NMCTT is a manually annotated corpus of the Tatar language based on the text from Tatar-Inform (tatar-inform.tatar), an online news website.
Introduction
UD Tatar-NMCTT is a corpus of the Tatar language, manually annotated by Chihiro Taguchi under the project "NAIST Multilingual Corpus" at Nara Institute of Science and Technology, Japan. The text is taken from the online news website Tatar-Inform. The articles contain a wide variety of genres, including politics, health, incidents, etc. Upon citing the text, it is recommended to show the source link of the article, given the Russian federal law stipulating that all mass medias citing an article have to show the link to the corresponding source article. The link is available as meta data in the corpus.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/tt/nmctt/