Chiche, A., & Yitagesu, B. (2022). Part of speech tagging: a systematic review of deep learning and machine learning approaches. Journal of Big Data, 9(1). doi:10.1186/s40537-022-00561-y.
Anbananthen, K. S. M., Krishnan, J. K., Sayeed, M. S., & Muniapan, P. (2017). Comparison of Stochastic and Rule-Based POS Tagging on Malay Online Text. American Journal of Applied Sciences, 14(9), 843–851. doi:10.3844/ajassp.2017.843.851.
Anbananthen, S. K., Sainarayanan, G., Chekima, A., & Teo, J. (2006). Data mining using pruned artificial neural network tree (ANNT). 2nd International Conference on Information & Communication Technologies, Damascus, Syria. doi:10.1109/ICTTA.2006.1684577.
Ali, N. M., Ngo, G. H., & Lan, A. L. H. (2023). Construction of Part of Speech Tagger for Malay Language: A Review. Proceedings - 2023 5th International Conference on Natural Language Processing, (ICNLP 2023), 253–257. doi:10.1109/ICNLP58431.2023.00053.
Tiun, S., Ariffin, S. N. A. N., & Chew, Y. D. (2022). POS Tagging Model for Malay Tweets Using New POS Tagset and BiLTSM-CRF Approach. CEUR Workshop Proceedings, 3315, 160–165.
Mohamed, H., Omar, N., & Ab Aziz, M. J. (2011). Statistical Malay part-of-speech (POS) tagger using Hidden Markov approach. 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011, June, 231–236. doi:10.1109/STAIR.2011.5995794.
Ariffin, S. N. A. N., & Tiun, S. (2018). Part-of-speech tagger for Malay social media texts. GEMA Online Journal of Language Studies, 18(4), 124–142. doi:10.17576/gema-2018-1804-09.
Alzubaidi, L., Zhang, J., Humaidi, A. J., Al-Dujaili, A., Duan, Y., Al-Shamma, O., Santamaría, J., Fadhel, M. A., Al-Amidie, M., & Farhan, L. (2021). Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. Journal of Big Data, 8(1), 53. doi:10.1186/s40537-021-00444-8.
Sonai, K., Anbananthen, M., Mohamed, A., & Elyasir, H. (2013). Evolution of Opinion Mining. Australian Journal of Basic and Applied Sciences, 7(6), 359–370.
Brill, E. (1995). Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-speech Tagging. Computational Linguistics, 21(4), 543–565.
Brill, E. (1992). A simple rule-based part of speech tagger. In Speech and Natural Language: Proceedings of a Workshop Held at Harriman, New York, February 23-26, 152-159. doi:10.3115/974499.974526.
Garg, N., Goyal, V., & Preet, S. (2012). Rule-Based Hindi Part of Speech Tagger. International Conference on Computational Linguistics, 2(December), 163–174.
Lee, G. G., Cha, J., & Lee, J. H. (2002). Syllable-pattern-based unknown-morpheme segmentation and estimation for hybrid part-of-speech tagging of Korean. Computational Linguistics, 28(1), 53–70. doi:10.1162/089120102317341774.
Tyagi, S., & Shankar Mishra, G. (2016). Statistical Analysis of Part of Speech (Pos) Tagging Algorithms for English Corpus. International Journal of Advance Research, Ideas and Innovations in Technology, 2(3), 1-9.
Albared, M., Omar, N., Aziz, M. J. A., & Ahmad Nazri, M. Z. (2010). Automatic part of speech tagging for Arabic: An experiment using bigram hidden markov model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 6401 LNAI, 361–370. doi:10.1007/978-3-642-16248-0_52.
Mammadov, S., Rustamov, S., Mustafali, A., Sadigov, Z., Mollayev, R., & Mammadov, Z. (2018). Part-of-Speech Tagging for Azerbaijani Language. IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 – Proceedings, Almaty, Kazakhstan. doi:10.1109/ICAICT.2018.8747154.
Cahyani, D. E., & Vindiyanto, M. J. (2019). Indonesian part of speech tagging using hidden markov model - Ngram viterbi. 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2019, 353–358. doi:10.1109/ICITISEE48480.2019.9003989.
Paul, A., Purkayastha, B. S., & Sarkar, S. (2016). Hidden Markov Model based Part of Speech Tagging for Nepali language. 2015 International Symposium on Advanced Computing and Communication, ISACC 2015, 149–156. doi:10.1109/ISACC.2015.7377332.
Ayogu, I. I., Adetunmbi, A. O., Ojokoh, B. A., & Oluwadare, S. A. (2017). A comparative study of hidden Markov model and conditional random fields on a Yorùba part-of-speech tagging task. Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI 2017, 2017-January, 1–6. doi:10.1109/ICCNI.2017.8123784.
Krishnapriya, V., Sreesha, P., Harithalakshmi, T. R., Archana, T. C., & Vettath, J. N. (2003). Design of a POS tagger using conditional random fields for Malayalam. 2014 1st International Conference on Computational Systems and Communications, ICCSC 2014, 370–373. doi:10.1109/COMPSC.2014.7032680.
Nasim, Z., Abidi, S., & Haider, S. (2020). Modeling POS Tagging for the Urdu Language. 2020 International Conference on Emerging Trends in Smart Technologies, ICETST 2020, Karachi, Pakistan. doi:10.1109/ICETST49965.2020.9080721.
Deka, R. R., Kalita, S., Kashyap, K., Bhuyan, M. P., & Sarma, S. K. (2020). A Study of T’nT and CRF Based Approach for POS tagging in assamese language. In Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, 600–604. doi:10.1109/ICISS49785.2020.9315939.
Tran, O. T., Le, C. A., Ha, T. Q., & Le, Q. H. (2009). An experimental study on Vietnamese POS tagging. 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009, 23–27. doi:10.1109/IALP.2009.14.
Fanoon, A. R. F. S., & Uwanthika, G. A. I. (2019). Part of speech tagging for Twitter conversations using Conditional Random Fields model. Proceedings - IEEE International Research Conference on Smart Computing and Systems Engineering, SCSE 2019, 108–112. doi:10.23919/SCSE.2019.8842669.
Zhang, X., Huang, H., & Zhang, L. (2009). The application of CRFs in part-of-speech tagging. International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009, Vol. 2, 347–350. doi:10.1109/IHMSC.2009.210.
Marquez, Ll. (1999). Part-of-speech Tagging: A Machine Learning Approach based on Decision Trees. Universitat Politècnica de Catalunya, Barcelona, Spain. doi:10.5821/dissertation-2117-93974.
Ratnaparkhi, A. (1996). A Maximum Entropy Model for Part-Of-Speech Tagging. Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP 1996, 133–142.
Taulé, M., M.A. Martí, M. R. (2008). Ancora: Multilingual and multilevel annotated corpora. Proceedings of 6th International Conference on Language Resources and Evaluation, 96–101.
Busst, M. M. A., Anbananthen, K. S. M., Kannan, S., Krishnan, J., & Subbiah, S. (2024). Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text. IEEE Access, 12(January), 3528–3539. doi:10.1109/ACCESS.2023.3349203.
Bakare, A. M., Anbananthen, K. S. M., Muthaiyah, S., Krishnan, J., & Kannan, S. (2023). Punctuation Restoration with Transformer Model on Social Media Data. Applied Sciences (Switzerland), 13(3), 1685. doi:10.3390/app13031685.
Sayeed, M. S., Mohan, V., & Muthu, K. S. (2023). BERT: A Review of Applications in Sentiment Analysis. HighTech and Innovation Journal, 4(2), 453–462. doi:10.28991/HIJ-2023-04-02-015.
Gopalakrishnan, A., Soman, K. P., & Premjith, B. (2019). Part-of-Speech Tagger for Biomedical Domain Using Deep Neural Network Architecture. 2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, 6–10. doi:10.1109/ICCCNT45670.2019.8944559.
Kumar, S., Kumar, M. A., & Soman, K. P. (2019). Deep learning-based part-of-speech tagging for Malayalam twitter data (Special Issue: Deep learning techniques for natural language processing). Journal of Intelligent Systems, 28(3), 423–435. doi:10.1515/jisys-2017-0520.
Sayami, S., & Shakya, S. (2020). Nepali POS Tagging Using Deep Learning Approaches. International Journal of Science, 17(2), 69–84.
Hoojon, R., & Nath, D. A. (2023). BiLSTM with CRF Part-of-Speech Tagging for Khasi language. 2023 4th International Conference on Computing and Communication Systems, I3CS 2023, I3CS 2023, 1–7. doi:10.1109/I3CS58314.2023.10127278.
Kabir, M. F., Abdullah-Al-Mamun, K., & Huda, M. N. (2016). Deep learning-based parts of speech tagger for Bengali. 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016, 26–29. doi:10.1109/ICIEV.2016.7760098.
Song, H. J., & Park, S. B. (2020). Korean part-of-speech tagging based on morpheme generation. ACM Transactions on Asian and Low-Resource Language Information Processing, 19(3), 1–10. doi:10.1145/3373608.
Gimpel, K., Schneider, N., O’Connor, B., Das, D., Mills, D., Eisenstein, J., Heilman, M., Yogatama, D., Flanigan, J., & Smith, N. A. (2011). Part-of-speech tagging for twitter: Annotation, features, and experiments. ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2, 42–47.
Jawaid, B., Kamran, A., & Bojar, O. (2014). A tagged corpus and a tagger for Urdu. Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014, 2938–2943.
Hedderich, M. A., Lange, L., Adel, H., Strötgen, J., & Klakow, D. (2021). A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 2545–2568. doi:10.18653/v1/2021.naacl-main.201.
Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014). Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555, 1-9. doi:10.48550/arXiv.1412.3555.
Conneau, A., & Lample, G. (2019). Cross-lingual language model pretraining. Advances in Neural Information Processing Systems, 32.