UD_Georgian-GNC
Treebank card from UD release 2.18: metadata and texts come from UD_Georgian-GNC/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_Georgian-GNC; seeds: seeds/; converter: convert.md.
| Field | Value |
|---|---|
| UD name | UD_Georgian-GNC |
| Language | Georgian (ka) |
| Family | Kartvelian |
| Treebank code | ka_gnc |
| UD page | universaldependencies.org/treebanks/ka gnc/index.html |
| License | CC BY-SA 4.0 |
| Genres | fiction, news |
| Text in data | yes |
| Parallel | no |
| In UD since | UD v2.16 |
| Authors | Paul Meurer |
| Contact | paul.meurer@uib.no |
| Development | outside the UD repo (elsewhere): fixes go to the source or the converter |
Annotation layers
| Layer | Origin |
|---|---|
| Lemmas | converted from manual |
| UPOS | converted from manual |
| XPOS | manual native |
| Features | converted from manual |
| 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 |
|---|---|---|---|---|---|
| train | 918 | 11 516 | 11 516 | 0 | 0 |
| dev | 130 | 1 483 | 1 483 | 0 | 0 |
| test | 830 | 10 426 | 10 426 | 0 | 0 |
| total | 1 878 | 23 425 | 23 425 | 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.
Summary
UD_Georgian-GNC is a treebank based on texts from the Georgian National Corpus, GNC.
Introduction
UD_Georgian-GNC is a treebank based on texts from the Georgian National Corpus, GNC, which is a corpus of written texts from a variety of genres. The sentences are taken from original and translated novels and from news websites.
The sentences are analysed using a finite state morphological analyser, and Constraint Grammar rules for disambiguation and dependency parsing. Both disambiguation and dependency analyses are corrected manually in a tool specifically developed for that purpose.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/ka/gnc/