# Creating a morphological and syntactic tagged corpus for the Uzbek language

arXiv: https://arxiv.org/abs/2210.15234 · HTML: https://mlsanity.com/paper/2210.15234/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 27 references that are in the map.
- First posted on arXiv 27 Oct 2022.

## Builds on (most cited first, 5 of 5)

- [Cross-Lingual Word Embeddings for Turkic Languages](https://mlsanity.com/paper/2005.08340/) (2020)
- [SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language](https://mlsanity.com/paper/2205.06072/) (2022)
- [A machine transliteration tool between Uzbek alphabets](https://mlsanity.com/paper/2205.09578/) (2022)
- [Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments](https://mlsanity.com/paper/2008.00482/) (2020)
- [UzBERT: pretraining a BERT model for Uzbek](https://mlsanity.com/paper/2108.09814/) (2021)

## Built on by (most cited first, 1 of 1)

- [UzbekTagger: The rule-based POS tagger for Uzbek language](https://mlsanity.com/paper/2301.12711/) (2023)

## Abstract (arXiv)

Nowadays, creation of the tagged corpora is becoming one of the most important tasks of Natural Language Processing (NLP). There are not enough tagged corpora to build machine learning models for the low-resource Uzbek language. In this paper, we tried to fill that gap by developing a novel Part Of Speech (POS) and syntactic tagset for creating the syntactic and morphologically tagged corpus of the Uzbek language. This work also includes detailed description and presentation of a web-based application to work on a tagging as well. Based on the developed annotation tool and the software, we share our experience results of the first stage of the tagged corpus creation