# Challenges in Persian Electronic Text Analysis

arXiv: https://arxiv.org/abs/1404.4740 · HTML: https://mlsanity.com/paper/1404.4740/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Apr 2014.

## Built on by (most cited first, 2 of 2)

- [The Challenges of Persian User-generated Textual Content: A Machine Learning-Based Approach](https://mlsanity.com/paper/2101.08087/) (2021)
- [Persian Typographical Error Type Detection Using Deep Neural Networks on Algorithmically-Generated Misspellings](https://mlsanity.com/paper/2305.11731/) (2023)

## Abstract (arXiv)

Farsi, also known as Persian, is the official language of Iran and Tajikistan and one of the two main languages spoken in Afghanistan. Farsi enjoys a unified Arabic script as its writing system. In this paper we briefly introduce the writing standards of Farsi and highlight problems one would face when analyzing Farsi electronic texts, especially during development of Farsi corpora regarding to transcription and encoding of Farsi e-texts. The pointes mentioned may sounds easy but they are crucial when developing and processing written corpora of Farsi.