# A machine transliteration tool between Uzbek alphabets

arXiv: https://arxiv.org/abs/2205.09578 · HTML: https://mlsanity.com/paper/2205.09578/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 20 references that are in the map.
- First posted on arXiv 19 May 2022.

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

- [Cross-Lingual Word Embeddings for Turkic Languages](https://mlsanity.com/paper/2005.08340/) (2020)
- [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)
- [Uzbek Cyrillic-Latin-Cyrillic Machine Transliteration](https://mlsanity.com/paper/2101.05162/) (2021)
- [Sequence to Sequence Networks for Roman-Urdu to Urdu Transliteration](https://mlsanity.com/paper/1712.02959/) (2017)

## Built on by (most cited first, 8 of 8)

- [Uzbek Sentiment Analysis based on local Restaurant Reviews](https://mlsanity.com/paper/2205.15930/) (2022)
- [Text classification dataset and analysis for Uzbek language](https://mlsanity.com/paper/2302.14494/) (2023)
- [UzbekTagger: The rule-based POS tagger for Uzbek language](https://mlsanity.com/paper/2301.12711/) (2023)
- [Creating a morphological and syntactic tagged corpus for the Uzbek language](https://mlsanity.com/paper/2210.15234/) (2022)
- [Design and Implementation of a Tool for Extracting Uzbek Syllables](https://mlsanity.com/paper/2312.15779/) (2023)
- [Uzbek text summarization based on TF-IDF](https://mlsanity.com/paper/2303.00461/) (2023)
- [Uzbek text's correspondence with the educational potential of pupils: a case study of the School corpus](https://mlsanity.com/paper/2303.00465/) (2023)
- [UzMorphAnalyser: A Morphological Analysis Model for the Uzbek Language Using Inflectional Endings](https://mlsanity.com/paper/2405.14179/) (2024)

## Abstract (arXiv)

Machine transliteration, as defined in this paper, is a process of automatically transforming written script of words from a source alphabet into words of another target alphabet within the same language, while preserving their meaning, as well as pronunciation. The main goal of this paper is to present a machine transliteration tool between three common scripts used in low-resource Uzbek language: the old Cyrillic, currently official Latin, and newly announced New Latin alphabets. The tool has been created using a combination of rule-based and fine-tuning approaches. The created tool is available as an open-source Python package, as well as a web-based application including a public API. To our knowledge, this is the first machine transliteration tool that supports the newly announced Latin alphabet of the Uzbek language.