File size: 1,396 Bytes
64b586d 86afac4 64b586d b5b2c2d f3e77f6 191efa6 f3e77f6 097d5b5 86afac4 998c554 86afac4 f3e77f6 86afac4 f3e77f6 86afac4 f3e77f6 86afac4 f3e77f6 86afac4 f3e77f6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
---
title: README
emoji: ๐
colorFrom: blue
colorTo: purple
sdk: static
pinned: false
short_description: Empowering Machines with Pashto
---
Zirak advances Pashto AI with innovative solutions, enhancing digital accessibility and communication. Focused on NLP and CV, we enable machines to understand Pashto, driving innovation and expanding opportunities for Pashto in the digital world.
## Papers
**๐น[A benchmark multimodal oro-dental dataset for large vision-language models](https://arxiv.org/abs/2511.04948)**
**๐น[PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language](https://arxiv.org/abs/2505.10055)**
**๐น[NLPashto: NLP Toolkit for Low-resource Pashto Language](https://dx.doi.org/10.14569/IJACSA.2023.01406142)**
**๐น[Correction of Whitespace and Word Segmentation in Noisy Pashto Text using CRF](https://doi.org/10.1016/j.specom.2023.102970)**
**๐น[POS Tagging of Low-resource Pashto Language: Annotated Corpus and Bert-based Model](https://doi.org/10.21203/rs.3.rs-2712906/v1)**
**๐น[Pashto Offensive Language Detection: A Benchmark Dataset and Monolingual Pashto BERT](https://doi.org/10.7717/peerj-cs.1617)**
**๐น[Social Mediaโs Dark Secrets: A Propagation, Lexical and Psycholinguistic Ooriented Deep Learning Approach for Fake News Proliferation](https://doi.org/10.1016/j.eswa.2024.124650)**
|