The DOI matches its Crossref record; 212 of the 220 references it cites were found in a registry or an index.
Bridging the gap: A survey of document retrieval techniques for high-resource and low-resource languages
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In the citing paper
“applying RAG to lowresource languages presents unique challenges, including poor embedding representations, low retrieval quality, and semantic gaps caused by the scarcity of digital documents.”
From Improving Amharic Information Retrieval with Translative and Multi-Agent Debate Retrieval Augmented Generation (2026) · cites this paper as Kazi et al., 2025
In the citing paper
“the scarcity and uneven quality of digital corpora reduce retrieval recall and coverage (Kazi et al., 2025).”
From Improving Amharic Information Retrieval with Translative and Multi-Agent Debate Retrieval Augmented Generation (2026) · cites this paper as Kazi et al., 2025
Citations
Cites
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Cited by
Sorted by citations
Jotie, A. A., & Mitra, P. (2026) · Proceedings of the Language Resources and Evaluation Conference · doi:10.63317/3hbm9z4okcrx
UQuAD+: Benchmark Dataset for Urdu Machine Reading Comprehension
Kazi, S., & Khoja, S. A. (2025) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3759455
Self-citationAttention based neural network for cross domain fake news detection in Turkish language
Akpinar, K. O., Akpınar, M., & Pavlovskaya, O. (2025) · Scientific Reports · doi:10.1038/s41598-025-31788-3
MSGRNet: Self-supervised contrastive learning for radar signal modulation recognition and hashing
Chen, L., Cheng, J., & Li, M. (2026) · Science China Technological Sciences · doi:10.1007/s11431-026-3366-5
Jotie, A. A., & Mitra, P. (2026) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3805712.3808532
Rule-Based Generative Modeling of Sinurigao Morphology Through Natural Language Processing
Balighot, B. S., Balighot, N. D., Paredes, S. V., & Paredes, F. T. (2026) · International Conference on Innovations in Cybersecurity and Data Science (ICICDS) · doi:10.1109/icicds70526.2026.11604876
Breaking the loop: a human-centred vision for information retrieval systems that serve all users
Cossatin, A. G., Chakrabarti, H., Murgia, E., Ooms, S., Tobia, D. M., Ungruh, R., Cena, F., Chaudron, S. A., Huibers, T. W. C., Landoni, M., et al. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2714166
IQRA: Towards End-to-End Framework for Urdu Machine Reading Comprehension
Kazi, S., & Khoja, S. A. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.133727
Self-citationSQUIRE+LLM: An LLM-Assisted ESA-Based Unsupervised Semantic Query Interpretation and Ranking Engine
Shil, A., & Jin, W. (2025) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat67162.2025.00043
Kim, H. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2740884
Metadata
- Authors
- Kazi, S., Khoja, S., & Daud, A.
- Affiliations
- Institute of Business Administration Karachi (PK)
- Rabdan Academy (AE)
- Corresponding author
- Daud, Ali
- Venue
- Computer Science Review
- Publisher
- Elsevier BV
- Published
- 2025-08
- Volume
- 57
- Pages
- 100756
- ISSN
- 1574-0137 (ISSN-L)
- OpenAlex
- W4409482736
- Cited by
- 9
- References
- 220
- Citations by year
- 2026: 6 · 2025: 3
- FWCI
- 9.36
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Computer Science Review (publishedVersion)
- Rabdan Academy Digital Repository (Rabdan Academy) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- document retrieval, low-resource languages, high-resource languages, cross-lingual information retrieval, domain adaptation, hybrid retrieval, neural ranking, morphological complexity, orthographic variation, data scarcity
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