---
# System prepended metadata

title: TS Abstract Corpus

---


# TS Abstract Corpus

Abstracts of 6234 papers, categorized by scientific discipline.

Test dataset is a collection of categorized and annotated abstracts from 6234 papers from various diciplines [Abstract Corpus](https://tscorpus.com/corpora/ts-abstract-corpus/). The main goal for this dataset is to investigate the patterns used in scientific writing, the lexicon variety by different diciplines.

## Dataset Details

This dataset consists of 1,048,132 tokens with part-of-speech and morphological tagging. The data is in five columns respectively represents the surface form of the word, the part-of-speech tag, morphological analysis, the lemma of the word and the correct form of the surface word if any spelling mistake is found.

### Samples

| Surface Form | PosTag | Morpohological Analysis | Lemma |  Correct |
|--------------|--------|-------------------------|-------|----------|
|    antik     |   Adj  |           Adj           | antik |   antik  |
|  tiyatronun  |  Noun  |   Noun+A3sg+Pnon+Gen    |tiyatro|tiyatronun|
|  arkasında   |  Noun  |   Noun+A3sg+P3sg+Loc    |  arka | arkasında|
|     yer      |  Noun  |   Noun+A3sg+Pnon+Nom    |  yer  |    yer   |
|     alir     |   YY   |          NoMorph        |NoLemma|    alır  |



### Data Source

The data used in this corpus is a subsection harvested from the following study: 

Özturk, S., Sankur, B., Gungör, T., Yilmaz, M. B., Köroǧlu, B., Aǧin, O., ... & Ahat, M. (2014, April). Turkish labeled text corpus. In 2014 22nd Signal Processing and Communications Applications Conference (SIU) (pp. 1395-1398). IEEE.

### Quality

The part-of-speech tagging accuracy is ~82%.

