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README.md
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##
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**[NLPashto: NLP Toolkit for Low-resource Pashto Language](https://dx.doi.org/10.14569/IJACSA.2023.01406142)**
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_H. Ijazul, Q. Weidong, G. Jie, and T. Peng, "NLPashto: NLP Toolkit for Low-resource Pashto Language," International Journal of Advanced Computer Science and Applications, vol. 14, no. 6, pp. 1345-1352, 2023._
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- **BibTeX**
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```bibtex
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@article{haq2023nlpashto,
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title={NLPashto: NLP Toolkit for Low-resource Pashto Language},
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author={Ijazul Haq and Weidong Qiu and Jie Guo and Peng Tang},
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journal={International Journal of Advanced Computer Science and Applications},
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issn={2156-5570},
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volume={14},
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number={6},
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pages={1345-1352},
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year={2023},
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doi={https://dx.doi.org/10.14569/IJACSA.2023.01406142}
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}
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```
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**[Correction of Whitespace and Word Segmentation in Noisy Pashto Text using CRF](https://doi.org/10.1016/j.specom.2023.102970)**
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_H. Ijazul, Q. Weidong, G. Jie, and T. Peng, "Correction of whitespace and word segmentation in noisy Pashto text using CRF," Speech Communication, vol. 153, p. 102970, 2023._
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- **BibTeX**
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```bibtex
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@article{HAQ2023102970,
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title={Correction of whitespace and word segmentation in noisy Pashto text using CRF},
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journal={Speech Communication},
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issn={1872-7182},
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volume={153},
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pages={102970},
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year={2023},
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doi={https://doi.org/10.1016/j.specom.2023.102970},
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author={Ijazul Haq and Weidong Qiu and Jie Guo and Peng Tang}
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}
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```
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**[POS Tagging of Low-resource Pashto Language: Annotated Corpus and Bert-based Model](https://doi.org/10.21203/rs.3.rs-2712906/v1)**
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_H. Ijazul, Q. Weidong, G. Jie, and T. Peng, "POS Tagging of Low-resource Pashto Language: Annotated Corpus and BERT-based Model," Preprint, 2023._
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- **BibTeX**
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```bibtex
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@article{haq2023pashto,
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title={POS Tagging of Low-resource Pashto Language: Annotated Corpus and Bert-based Model},
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author={Ijazul Haq and Weidong Qiu and Jie Guo and Peng Tang},
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journal={Preprint},
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year={2023},
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doi={https://doi.org/10.21203/rs.3.rs-2712906/v1}
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}
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```
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**[Pashto Offensive Language Detection: A Benchmark Dataset and Monolingual Pashto BERT](https://doi.org/10.7717/peerj-cs.1617)**
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_H. Ijazul, Q. Weidong, G. Jie, and T. Peng, "Pashto Offensive Language Detection: A Benchmark Dataset and Monolingual Pashto BERT," PeerJ Computer Science, vol. 9, p. e1617, 2023._
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- **BibTeX**
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```bibtex
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@article{haq2023pold,
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title={Pashto Offensive Language Detection: A Benchmark Dataset and Monolingual Pashto BERT},
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author={Ijazul Haq and Weidong Qiu and Jie Guo and Peng Tang},
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journal={PeerJ Computer Science},
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issn={2376-5992},
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volume={9},
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pages={e1617},
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year={2023},
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doi={10.7717/peerj-cs.1617}
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}
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```
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**[Social Media’s Dark Secrets: A Propagation, Lexical and Psycholinguistic Ooriented Deep Learning Approach for Fake News Proliferation](https://doi.org/10.1016/j.eswa.2024.124650)**
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_K. Ahmed, M. A. Khan, I. Haq, A. Al Mazroa, M. Syam, N. Innab, et al., "Social media’s dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation," Expert Systems with Applications, vol. 255, p. 124650, 2024._
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- **BibTeX**
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```bibtex
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@article{AHMED2024124650,
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title={Social media’s dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation},
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author={Kanwal Ahmed and Muhammad Asghar Khan and Ijazul Haq and Alanoud Al Mazroa and Syam M.S. and Nisreen Innab and Masoud Alajmi and Hend Khalid Alkahtani},
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journal={Expert Systems with Applications},
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volume={255},
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pages={124650},
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year={2024},
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issn={0957-4174},
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doi={https://doi.org/10.1016/j.eswa.2024.124650}
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}
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```
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## Papers
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**[NLPashto: NLP Toolkit for Low-resource Pashto Language](https://dx.doi.org/10.14569/IJACSA.2023.01406142)**
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**[Correction of Whitespace and Word Segmentation in Noisy Pashto Text using CRF](https://doi.org/10.1016/j.specom.2023.102970)**
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**[POS Tagging of Low-resource Pashto Language: Annotated Corpus and Bert-based Model](https://doi.org/10.21203/rs.3.rs-2712906/v1)**
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**[Pashto Offensive Language Detection: A Benchmark Dataset and Monolingual Pashto BERT](https://doi.org/10.7717/peerj-cs.1617)**
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**[Social Media’s Dark Secrets: A Propagation, Lexical and Psycholinguistic Ooriented Deep Learning Approach for Fake News Proliferation](https://doi.org/10.1016/j.eswa.2024.124650)**
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