LEXF-ATT-XLM: A hybrid lexicon-enhanced attention model for hate speech detection in low-resource language Roman Urdu

Jaweria Jalil Awan, Muhammad Hamid, Tagrid Abdullah N. Alshalali

Open source

DOI: 10.1371/journal.pone.0354875
Published: 2026-08-20
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0354875,
  title = {LEXF-ATT-XLM: A hybrid lexicon-enhanced attention model for hate speech detection in low-resource language Roman Urdu},
  author = {Jaweria Jalil Awan and Muhammad Hamid and Tagrid Abdullah N. Alshalali},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0354875},
  url = {https://doi.org/10.1371/journal.pone.0354875}
}

RIS

TY  - JOUR
TI  - LEXF-ATT-XLM: A hybrid lexicon-enhanced attention model for hate speech detection in low-resource language Roman Urdu
AU  - Jaweria Jalil Awan
AU  - Muhammad Hamid
AU  - Tagrid Abdullah N. Alshalali
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0354875
UR  - https://doi.org/10.1371/journal.pone.0354875
ER  -

APA

Awan, J. J., Hamid, M., & Alshalali, T. A. N. (2026). LEXF-ATT-XLM: A hybrid lexicon-enhanced attention model for hate speech detection in low-resource language Roman Urdu. PLOS One. https://doi.org/10.1371/journal.pone.0354875

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crossref · retrieved 2026-09-24T20:05:28.573Z