UD_Turkish-FrameNet
Treebank card from UD release 2.18: metadata and texts come from UD_Turkish-FrameNet/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_Turkish-FrameNet; seeds: seeds/; converter: convert.md.
| Field | Value |
|---|---|
| UD name | UD_Turkish-FrameNet |
| Language | Turkish (tr) |
| Family | Turkic |
| Treebank code | tr_framenet |
| UD page | universaldependencies.org/treebanks/tr framenet/index.html |
| License | CC BY-SA 4.0 |
| Genres | grammar-examples |
| Text in data | yes |
| Parallel | no |
| In UD since | UD v2.8 |
| Authors | Neslihan Cesur; Aslı Kuzgun; Olcay Taner Yıldız; Büşra Marşan; Oğuzhan Kuyrukçu; Bilge Nas Arıcan; Ezgi Sanıyar; Neslihan Kara; Merve Özçelik |
| Contact | nesli@starlangyazilim.com / olcay.yildiz@ozyegin.edu.tr |
| 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 | converted from manual |
| Features | converted from manual |
| Relations | converted from manual |
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 | 2 288 | 16 335 | 16 335 | 0 | 0 |
| dev | 205 | 1 421 | 1 421 | 0 | 0 |
| test | 205 | 1 467 | 1 467 | 0 | 0 |
| total | 2 698 | 19 223 | 19 223 | 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
Turkish FrameNet consists of 2,700 manually annotated example sentences and 19,221 tokens. Its data consists of the sentences taken from the Turkish FrameNet Project. The annotated sentences can be filtered according to the semantic frame category of the root of the sentence.
Introduction
Turkish FrameNet consists of 2,700 manually annotated sentences and 19,221 tokens. The corpus is taken from the Turkish FrameNet Project where the Turkish verbs were annotated according to their semantic arguments. The sentences are like dictionary examples, they include made-up full sentences created by native speakers of Turkish.
The corpus is divided into 139 semantic frames according to the verb meaning. The number of sentences in frames varies according to how many verbs Turkish language has in that category. Each frame has its own dev, test, and training files.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/tr/framenet/