Dr. Sahinur
Rahman Laskar

Malik, A., Dadure, P., & Laskar, Sahinur Rahman. (2026). A multi-dimensional similarity scoring function for mathematical information retrieval. Journal of Intelligent & Fuzzy Systems (SCIE) (Impact Factor: 1.53).  doi:10.1177/18758967261490757

Malik, A., Dadure, P., & Laskar, Sahinur Rahman. (2025). A review of mathematical information retrieval: Bridging symbolic representation and intelligent retrieval. Archives of Computational Methods in Engineering (SCIE) (Impact Factor: 12.1) SJR 2024(2.038)(Q1), 1–35.  doi:https://doi.org/10.1007/s11831-025-10319-3

Sahinur Rahman Laskar, Gupta, G., Badhani, R., & Avenda, D. E. P. (2024). Cyberbullying detection in a multi-classification codemixed dataset. Computación y Sistemas (SCOPUS) (Impact Factor: 0.4), SJR 2024(0.178)(Q4), 28(3).  doi:https://doi.org/10.13053/CyS-28-3-4989

Kakum, N., Laskar, Sahinur Rahman, Sambyo, K., & Pakray, P. (2023). Neural machine translation for limited resources english-nyishi pair. Indian Academy of Sciences (Sadhana) (SCIE) (Impact Factor: 1.4) SJR 2024(0.321)(Q2).  doi:https://doi.org/10.1007/s12046-023-02308-8

Khenglawt, V., Laskar, Sahinur Rahman, Pakray, P., & Khan, A. K. (2023). Addressing data scarcity issue for english–mizo neural machine translation using data augmentation and language model. Journal of Intelligent and Fuzzy Systems (SCIE) (Impact Factor: 1) SJR 2024(0.364)(Q2).  doi:https://doi.org/10.3233/JIFS-235740

Khilji, A. F. U. R., Sinha, U., Singh, P., Ali, A., Laskar, Sahinur Rahman, Dadure, P., . . . Bandyopadhyay, S. (2023). Multimodal text summarization with evaluation approaches. Indian Academy of Sciences (Sadhana) (SCIE) (Impact Factor: 1.4) SJR 2024(0.321)(Q2).  doi:https://doi.org/10.1007/s12046-023-02284-z

Laskar, Sahinur Rahman, Paul, B., Dadure, P., Manna, R., Pakray, P., & Bandyopadhyay, S. (2023). English-assamese neural machine translation using prior alignment and pre-trained language model. Computer Speech Language Journal (SCIE) (Impact Factor: 3.4 SJR 2024(0.778)(Q2)).  doi:https://doi.org/10.1016/j.csl.2023.101524

Laskar, Sahinur Rahman, Paul, B., Pakray, P., & Bandyopadhyay, S. (2023). English-assamese multimodal neural machine translation using transliteration-based phrase augmentation approach. Procedia Computer Science Journal (SCOPUS) SJR 2024(0.471), 218, 979–988.  doi:https://doi.org/10.1016/j.procs.2023.01.078

Khenglawt, V., Laskar, Sahinur Rahman, Pakray, P., & Khan, A. K. (2022). Machine translation for low-resource english–mizo pair encountering tonal words. Computación y Sistemas (SCOPUS) (Impact Factor: 0.4) SJR 2024(0.178)(Q4), 26(3). Retrieved from  https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/viewFile/4358/3432

Laskar, Sahinur Rahman, Khilji, A. F. U. R., Pakray, P., & Bandyopadhyay, S. (2022). Improved neural machine translation for low-resource english-assamese pair. Journal of Intelligent Fuzzy Systems (SCIE) (Impact Factor: 1) SJR 2024(0.364)(Q2), 42, 4727–4738.  doi:https://doi.org/10.3233/JIFS-219260

Laskar, Sahinur Rahman, Manna, R., Pakray, P., & Bandyopadhyay, S. (2022a). A domain specific parallel corpus and enhanced english- assamese neural machine translation. Computación y Sistemas (SCOPUS) (Impact Factor: 0.4) SJR 2024(0.178)(Q4), 26(4). Retrieved from  https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/4423/3457

Laskar, Sahinur Rahman, Pakray, P., & Bandyopadhyay, S. (2022). Investigation of negation effect for english–assamese machine translation. Indian Academy of Sciences (Sadhana) (SCIE) (Impact Factor: 1.4) SJR 2024(0.321)(Q2), 47(4), 1–11.  doi:https://doi.org/10.1007/s12046-022-01965-5

Khilji, A. F. U. R., Manna, R., Laskar, Sahinur Rahman, Pakray, P., Das, D., Bandyopadhyay, S., & Gelbukh, A. (2021). CookingQA: Answering questions and recommending recipes based on ingredients. Arabian Journal for Science and Engineering (SCIE) (Impact Factor: 2.9) SJR 2024(0.521)(Q1), 46(4), 3701–3712.  doi:https://doi.org/10.1007/s13369-020-05236-5

Rahman Khilji, A. F. U., Manna, R., Laskar, Sahinur Rahman, Pakray, P., Das, D., Bandyopadhyay, S., & Gelbukh, A. (2020). Question classification and answer extraction for developing a cooking qa system. Computación y Sistemas (SCOPUS) (Impact Factor: 0.4) SJR 2024(0.178)(Q4), 24(2), 927–933.  doi:https://doi.org/10.13053/cys-24-2-3445

Laskar, Ahmadullah, & Laskar, Sahinur Rahman. (2026). Bahash-AI at ArGuard Shared Tasks: Multimodal Ensemble Learning for Hateful Meme Detection. In Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks (pp. 432–436). Association for Computational Linguistics. https://doi.org/10.18653/2026.arabicnlp-sharedtasks.55

Dadure, P., Malik, A., & Laskar, Sahinur Rahman. (2026). Overview of cross lingual mathematical information retrieval at fire 2025. In Proceedings of the 17th annual meeting of the forum for information retrieval evaluation (pp. 44–47).  doi:10.1145/3777867.3778263

Karim, M., Ahmed, F., Al Islam, M., Laskar, Sahinur Rahman, & Laskar, R. H. (2026). NERDS-NITS at WMT 2026: Pivot-based and direct neural machine translation for arabic–asian low-resource language pairs. In Proceedings of the eleventh conference on machine translation (pp. 2325–2330). Association for Computational Linguistics. Retrieved from  https://www2.statmt.org/wmt26/pdf/2026.wmt-1.173.pdf

Laskar, Sahinur Rahman, Alam, F., Paul, B., Ahmad, I., Lydia, M. S., & Dadure, P. (2026). Findings of the WMT 2026 shared task on low-resource arabic-asian language translation. In Proceedings of the eleventh conference on machine translation (pp. 1124–1137). Association for Computational Linguistics. Retrieved from  https://www2.statmt.org/wmt26/pdf/2026.wmt-1.54.pdf

Laskar, Sahinur Rahman, Laskar, A., Ahsan, M., Biran, A., & Ranjan, R. (2026). Argynnet: Arabic gynecological disease classification using hybrid deep network. In 2026 ieee 18th international conference on computational intelligence and communication networks (cicn) (pp. 1582–1587).  doi:10.1109/CICN70047.2026.11594132

Laskar, Sahinur Rahman, & Paul, B. (2025). Bahash-AI at BLP-2025 task 1: Bangla hate speech detection using data augmentation and pre-trained model. In F. Alam, S. Kar, S. A. Chowdhury, N. Hassan, E. H. Prince, M. Tasnim, . . . M. T. R. Rahman (Eds.), Proceedings of the second workshop on bangla language processing (blp-2025) (pp. 402–407). Mumbai, India: Association for Computational Linguistics. Retrieved from  https://aclanthology.org/2025.banglalp-1.33/

Hasan, M. A., Hasanain, M., Ahmad, F., Laskar, Sahinur Rahman, Upadhyay, S., Sukhadia, V. N., . . . Alam, F. (2025). NativQA: Multilingual culturally-aligned natural query for LLMs. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), Findings of the association for computational linguistics: Acl 2025 (pp. 14886–14909). Vienna, Austria: Association for Computational Linguistics. Retrieved from  https://aclanthology.org/2025.findings-acl.770/

Kmainasi, M. B., Shahroor, A. E., Hasanain, M., Laskar, Sahinur Rahman, Hassan, N., & Alam, F. (2025). LlamaLens: Specialized multilingual LLM for analyzing news and social media content. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Findings of the association for computational linguistics: Naacl 2025 (pp. 5627–5649). Albuquerque, New Mexico: Association for Computational Linguistics. Retrieved from  https://aclanthology.org/2025.findings-naacl.313/

Laskar, Sahinur Rahman, Deepanshu, Saxena, D., Badhani, R., Vishwakarma, A. K., & Ranjan, R. (2025). Hindgk: A llm-based question answering system for hindi general knowledge. In 2025 ieee 17th international conference on computational intelligence and communication networks (cicn) (pp. 485–489).  doi:10.1109/CICN67655.2025.11368192

Pal, S., Pakray, P., Laskar, Sahinur Rahman, Dash, S. K., Laitonjam, L., Khenglawt, V., . . . Dadure, P. K. (2023). Findings of the wmt 2023 shared task on low-resource indic language translation. In Proceedings of the eighth conference on machine translation. Association for Computational Linguistics, Singapore. Retrieved from  https://www2.statmt.org/wmt23/pdf/2023.wmt-1.56.pdf

Chakraborty, S., Kaushik, D., Laskar, Sahinur Rahman, Pakray, P., & Bandyopadhyay, S. (2022). Exploring text summarization models for indian languages. In Forum for information retrieval evaluation, ceur workshop proceedings (pp. 1–6). India. Retrieved from  https://ceur-ws.org/Vol-3395/T6-9.pdf

Adhikary, P. K., Manna, R., Laskar, Sahinur Rahman, & Pakray, P. (2022). Ontology-based healthcare hierarchy towards chatbot. In Computational intelligence in communications and business analytics, crc press (pp. 326–335).  doi:https://doi.org/10.1007/978-3-031-10766-5_26

Khenglawt, V., Laskar, Sahinur Rahman, Manna, R., Pakray, P., & Kumar Khan, A. (2022a). Mizo visual genome 1.0: A dataset for english-mizo multimodal neural machine translation. In Artificial intelligence, data science computing, ieee silcon 2022.  doi:10.1109/SILCON55242.2022.10028882

Khenglawt, V., Laskar, Sahinur Rahman, Manna, R., Pakray, P., & Kumar Khan, A. (2022b). Recent trends on low-resource neural machine translation and research scope for english-mizo pair. In International conference on intelligent computing systems and applications, springer, 2022. (Accepted) (In press).

Khenglawt, V., Laskar, Sahinur Rahman, Pal, S., Pakray, P., & Khan, A. K. (2022). Language resource building and english-to-mizo neural machine translation encountering tonal words. In Proceedings of the wildre-6 workshop @lrec2020, marseille, european language resources association (elra) (pp. 48–54). Retrieved from  http://www.lrec- conf.org/proceedings/lrec2022/workshops/WILDRE6/pdf/2022.wildre6-1.9.pdf

Laskar, Sahinur Rahman, Dadure, P., Manna, R., Pakray, P., & Bandyopadhyay, S. (2022). English to bengali multimodal neural machine translation using transliteration-based phrase pairs augmentation. In 9th workshop on asian translation wat2022, colling. Retrieved from  https://aclanthology.org/2022.wat-1.14.pdf

Laskar, Sahinur Rahman, Manna, R., Pakray, P., & Bandyopadhyay, S. (2022b). Investigation of multilingual neural machine translation for indian languages. In 9th workshop on asian translation wat2022, colling. ACL. Retrieved from  https://aclanthology.org/2022.wat-1.9.pdf

Laskar, Sahinur Rahman, Paul, B., Pakray, P., & Bandyopadhyay, S. (2022). Improving english-assamese neural machine translation using transliteration-based approach. In Proceedings of the international conference on frontiers of intelligent computing: Theory and applications, ficta 2022.  doi:https://doi.org/10.1007/978-981-19-7513-4_20

Laskar, Sahinur Rahman, Singh, R., Karim, M. F., Manna, R., Pakray, P., & Bandyopadhyay, S. (2022). Investigation of english to hindi multimodal neural machine translation using transliteration-based phrase pairs augmentation. In 9th workshop on asian translation wat2022, colling. Retrieved from  https://aclanthology.org/2022.wat-1.15.pdf

Laskar, Sahinur Rahman, Singh, R., Manna, R., Khilji, A. F. U. R., Pakray, P., & Bandyopadhyay, S. (2022). Cnlp-nits-pp at wanlp 2022 shared task: Propaganda detection in arabic using data augmentation and arabert pre-trained model. In Emnlp 2022 propaganda detection in arabic shared task, wanlp-22. ACL. Retrieved from  https://aclanthology.org/2022.wanlp-1.65.pdf

Laskar, Sahinur Rahman, Singh, R., Manna, R., Pakray, P., & Bandyopadhyay, S. (2022). Cnlp-nits-pp at mixmt 2022: Hinglish-english code-mixed machine translation. In Emnlp 2022 seventh conference on machine translation (wmt22). ACL. Retrieved from  https://www.statmt.org/wmt22/pdf/2022.wmt-1.116.pdf

Laskar, Sahinur Rahman, Darsh, A. F. U. R. K., Pakray, P., Bandyopadhyay, S. et al. (2021). Enkhcorp1. 0: An english–khasi corpus. In Proceedings of the 4th workshop on technologies for mt of low resource languages (loresmt2021), mtsummit (pp. 89–95). Retrieved from  https://aclanthology.org/2021.mtsummit-loresmt.9

Laskar, Sahinur Rahman, Khilji, A. F. U. R., Kaushik, D., Pakray, P., & Bandyopadhyay, S. (2021). Improved english to hindi multimodal neural machine translation. In Proceedings of the 8th workshop on asian translation (wat2021), ijcnlp (pp. 155–160). ACL.  doi:https://doi.org/10.18653/v1/2021.wat-1.17

Laskar, Sahinur Rahman, Pakray, P., & Bandyopadhyay, S. (2021a). Neural machine translation for low resource assamese–english. In Proceedings of the international conference on computing and communication systems: I3cs 2020, nehu, shillong, india (Vol. 170, p. 35). Springer.  doi:https://doi.org/10.1007/978-981-33-4084-8_4

Laskar, Sahinur Rahman, Pakray, P., & Bandyopadhyay, S. (2021b). Neural machine translation: Assamese–bengali. In Modeling, simulation and optimization: Proceedings of comso 2020 (pp. 571–579). Springer.  doi:https://doi.org/10.1007/978-981-15-9829-6_45

Laskar, Sahinur Rahman, Paul, B., Adhikary, P. K., Pakray, P., & Bandyopadhyay, S. (2021). Neural machine translation for tamil–telugu pair. In Proceedings of the sixth conference on machine translation (wmt), emnlp (pp. 289–292). ACL. Retrieved from  https://aclanthology.org/2021.wmt-1.29

Laskar, Sahinur Rahman, Paul, B., Paudwal, S., Gautam, P., Biswas, N., & Pakray, P. (2021). Multimodal neural machine translation for english-assamese pair. In 2021 international conference on computational performance evaluation (compe) (pp. 387–392). IEEE.  doi:https://doi.org/10.1109/ComPE53109.2021.9752181

Laskar, Sahinur Rahman, Khilji, A. F. U. R., Pakray, P., & Bandyopadhyay, S. (2020a). EnAsCorp1.0: English-Assamese corpus. In Proceedings of the 3rd workshop on technologies for mt of low resource languages, aacl (pp. 62–68). ACL. Suzhou, China. Retrieved from  https://aclanthology.org/2020.loresmt-1.9

Laskar, Sahinur Rahman, Khilji, A. F. U. R., Pakray, P., & Bandyopadhyay, S. (2020b). Multimodal neural machine translation for English to Hindi. In Proceedings of the 7th workshop on asian translation, aacl (pp. 109–113). ACL. Suzhou, China. Retrieved from  https://aclanthology.org/2020.wat-1.11

Khilji, A. F. U. R., Laskar, Sahinur Rahman, Pakray, P., & Bandyopadhyay, S. (2020). Urdu fake news detection using generalized autoregressors. In Ceur workshop proceedings, forum for information retrieval evaluation 2020, december 16-20, 2020, hyderabad, India. CEUR-WS. Retrieved from  http://ceur-ws.org/Vol-2826/T3-3.pdf

Khilji, A. F. U. R., Laskar, Sahinur Rahman, Pakray, P., Kadir, R. A., Lydia, M. S., & Bandyopadhyay, S. (2020). Healfavor: Dataset and a prototype system for healthcare chatbot. In 2020 international conference on data science, artificial intelligence, and business analytics (databia) (pp. 1–4). IEEE.  doi:https://doi.org/10.1109/DATABIA50434.2020.9190281

Laskar, Sahinur Rahman, Khilji, A. F. U. R., Pakray, P., & Bandyopadhyay, S. (2020c). Hindi-marathi cross lingual model. In Proceedings of the fifth conference on machine translation (pp. 396–401). ACL. Retrieved from  https://aclanthology.org/2020.wmt-1.45

Laskar, Sahinur Rahman, Khilji, A. F. U. R., Pakray, P., & Bandyopadhyay, S. (2020d). Zero-shot neural machine translation: Russian-hindi@ loresmt 2020. In Proceedings of the 3rd workshop on technologies for mt of low resource languages, aacl (pp. 38–42). ACL. Retrieved from  https://aclanthology.org/2020.loresmt-1.5

Laskar, Sahinur Rahman, Dutta, A., Pakray, P., & Bandyopadhyay, S. (2019). Neural machine translation: English to hindi. In 2019 ieee conference on information and communication technology (pp. 1–6). IEEE.  doi:https://doi.org/10.1109/CICT48419.2019.9066238

Laskar, Sahinur Rahman, Pakray, P., & Bandyopadhyay, S. (2019). Neural machine translation: Hindi-nepali. In Proceedings of the fourth conference on machine translation (volume 3) (pp. 202–207). ACL.  doi:https://doi.org/10.18653/v1/W19-5427

Laskar, Sahinur Rahman, Singh, R. P., Pakray, P., & Bandyopadhyay, S. (2019). English to hindi multi-modal neural machine translation and hindi image captioning. In Proceedings of the 6th workshop on asian translation, emnlp (pp. 62–67). ACL.  doi:https://doi.org/10.18653/v1/D19-5205

Bhagawati, R., Laskar, Sahinur Rahman, & Swain, B. (2016). Documents clustering using quantum clustering algorithm. In 2016 international conference on microelectronics, computing and communications (microcom) (pp. 1–4). IEEE.  doi:https://doi.org/10.1109/MicroCom.2016.7522562

Laskar, Sahinur Rahman, & Swain, B. (2015). Analyzing quantum probability ranking principle with the concept of hyperspace analogue to language (hal). In 2015 international symposium on advanced computing and communication (isacc) (pp. 266–271). IEEE.  doi:https://doi.org/10.1109/ISACC.2015.7377353

Khenglawt, V., Laskar, Sahinur Rahman, Pakray, P., & Khan, A. K. (2022). “System zur Vorbereitung und Untersuchung eines Englisch-Mizo-Korpus durch Auffinden von tonalen Wörtern” (System for Preparing and Investigating an English-Mizo Corpus by Encountering Tonal Words). German Utility Patent, 03 August 2022 (Status: Granted).

Pakray, P., Manna, R., Khilji, A. F. U. R., Laskar, Sahinur Rahman, Das, D., & Bandyopadhyay, S. (2022). “Ein System zur Beantwortung von Fragen und zur Empfehlung von Rezepten auf der Grundlage von Zutaten” (A System on Answering Questions and Recommending Recipes based on Ingredients). German Utility Patent, 09 September 2022 (Status: Granted).

Laskar, Sahinur Rahman, Khilji, A. F. U. R., Pakray, P., Kadir, R. A., Lydia, M. S., & Bandyopadhyay, S. (2022). Healfavor: Machine translation enabled healthcare chat based application. doi:https://doi.org/10.1201/9781003138013-6

Khilji, A. F. U. R., Laskar, Sahinur Rahman, Pakray, P., Kadir, R. A., Lydia, M. S., & Bandyopadhyay, S. (2021). Healfavor: A chatbot application in healthcare. doi:https://doi.org/10.1201/9781003146810-3