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Improved Joint Kazakh POS Tagging and Chunking
2016This paper describes a mixing model of joint POS tagging and chunking for Kazakh where partial optimal solution provide feature information for joint model. A improved beam-search algorithm use dynamic beam instead of unified beam to obtain search space of small-but-excellent during both training and decoding phases of the model.
Hao Wu, Gulila Altenbek
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A Hierarchical Sequence-to-Sequence Model for Korean POS Tagging
ACM Transactions on Asian and Low-Resource Language Information Processing, 2021Guozhe Jin, Zhezhou Yu
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A Novel Approach for Morphological Analysis and Inflections Based on POS Tagging
Lecture Notes in Electrical Engineering, 2021Kanu Goel
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Part-of-speech (POS) tagging using conditional random field (CRF) model for Khasi corpora
International Journal of Speech Technology, 2021Sunita Warjri +2 more
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Fake News Detection Using Pos Tagging and Machine Learning
Journal of Applied Security Research, 2023Afreen Kansal
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Context-Based Bigram Model for POS Tagging in Hindi: A Heuristic Approach
Annals of Data Science, 2022Santosh Kumar Bharti +2 more
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Towards POS Tagging Methods for Bengali Language: A Comparative Analysis
Advances in Intelligent Systems and Computing, 2021Asif Iqbal, Avishek Das, Omar Sharif
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Deep Learning-Based Similar Languages’ POS Tagging: Experiments on Bhojpuri, Maithili, and Magahi
Lecture Notes in Networks and Systems, 2023Rajesh Kumar Mundotiya +2 more
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A Neural Joint Model with BERT for Burmese Syllable Segmentation, Word Segmentation, and POS Tagging
ACM Transactions on Asian and Low-Resource Language Information Processing, 2021Cunli Mao +2 more
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Reliable and Cost-Effective Pos-Tagging. [PDF]
Int. J. Comput. Linguistics Chin. Lang. Process., 2020 Yu-Fang Tsai, Keh-Jiann Chen
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