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Integration of morphological features and contextual weightage using monotonic chunk attention for part of speech tagging.

, , , and . J. King Saud Univ. Comput. Inf. Sci., 34 (9): 7324-7334 (2022)

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Integration of morphological features and contextual weightage using monotonic chunk attention for part of speech tagging., , , and . J. King Saud Univ. Comput. Inf. Sci., 34 (9): 7324-7334 (2022)Experiments on Deep Morphological Inflection., , and . CICLing (1), volume 13396 of Lecture Notes in Computer Science, page 382-398. Springer, (2018)Domain Adaptation for POS Tagging with Contrastive Monotonic Chunk-wise Attention., , and . Neural Process. Lett., 54 (4): 2901-2918 (2022)Forward Context-Aware Clickbait Tweet Identification System., and . Int. J. Ambient Comput. Intell., 12 (2): 21-32 (2021)Transformer-based Neural Machine Translation System for Hindi - Marathi: WMT20 Shared Task., , , and . WMT@EMNLP, page 393-395. Association for Computational Linguistics, (2020)Attention-based Domain adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language., , , and . PACLIC, page 471-477. Association for Computational Linguistics, (2020)Linguistic Resources for Bhojpuri, Magahi, and Maithili: Statistics about Them, Their Similarity Estimates, and Baselines for Three Applications., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 20 (6): 95:1-95:37 (2021)TLSPG: Transfer learning-based semi-supervised pseudo-corpus generation approach for zero-shot translation., , , and . J. King Saud Univ. Comput. Inf. Sci., 34 (9): 6552-6563 (2022)Hierarchical self attention based sequential labelling model for Bhojpuri, Maithili and Magahi languages., , and . J. King Saud Univ. Comput. Inf. Sci., 34 (10 Part A): 8739-8749 (2022)Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing., , , , and . CoRR, (2020)