UD_Turkish-Penn
Treebank card from UD release 2.18: metadata and texts come from UD_Turkish-Penn/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-Penn; seeds: seeds/; converter: convert.md.
| Field | Value |
|---|---|
| UD name | UD_Turkish-Penn |
| Language | Turkish (tr) |
| Family | Turkic |
| Treebank code | tr_penn |
| UD page | universaldependencies.org/treebanks/tr penn/index.html |
| License | CC BY-SA 4.0 |
| Genres | nonfiction, news |
| Text in data | yes |
| Parallel | no |
| In UD since | UD v2.8 |
| Authors | Neslihan Cesur; Aslı Kuzgun; Olcay Taner Yıldız; Büşra Marşan; Neslihan Kara; Bilge Nas Arıcan; Merve Özçelik; Deniz Baran Aslan |
| Contact | neslihancesur16@gmail.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 | 14 849 | 166 561 | 166 561 | 0 | 0 |
| dev | 622 | 6 996 | 6 996 | 0 | 0 |
| test | 924 | 10 055 | 10 055 | 0 | 0 |
| total | 16 395 | 183 612 | 183 612 | 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 version of the Penn Treebank. It consists of a total of 9,560 manually annotated sentences and 87,367 tokens. (It only includes sentences up to 15 words long.)
Introduction
This treebank includes a total of 9,560 annotated sentences. We used the corpus of the Penn Treebank by translating its sentences into Turkish language. In our corpus, we kept the sentence length at 15 words long. After the translation, the word tokens are morphologically annotated with a semi-automatic morphological analyzer. The dependency annotation is made manually. During the dependency annotation, annotators were able to see the original sentences from the Penn Treebank, therefore, they could check and correct the sentences according to the original data.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/tr/penn/