Part of speech tagging: a systematic review of deep learning and machine learning approaches
Journal of Big Data, 2022 Natural language processing (NLP) tools have sparked a great deal of interest due to rapid improvements in information and communications technologies. As a result, many different NLP tools are being produced.
Alebachew Chiche, Betselot Yitagesu
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Part of Speech Production in Patients With Primary Progressive Aphasia: An Analysis Based on Natural Language Processing. [PDF]
Am J Speech Lang Pathol, 2021 Background Primary progressive aphasia (PPA) is a neurodegenerative disorder characterized by a progressive decline of language functions. Its symptoms are grouped into three PPA variants: nonfluent PPA, logopenic PPA, and semantic PPA.
Themistocleous C +3 more
europepmc +2 more sources
Separate Syntax and Semantics: Part-of-Speech-Guided Transformer for Image Captioning
Applied Sciences, 2022 Transformer-based image captioning models have recently achieved remarkable performance by using new fully attentive paradigms. However, existing models generally follow the conventional language model of predicting the next word conditioned on the ...
Dong Wang +5 more
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Part-of-Speech tagging enhancement to natural language processing for Thai wh-question classification with deep learning [PDF]
Heliyon, 2021 Phayung Meesad
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MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 In this paper, we present AfricaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these languages using the universal dependencies (UD) guidelines.
Cheikh M. Bamba Dione +43 more
semanticscholar +1 more source
PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction [PDF]
International Conference on Knowledge Discovery and Information Retrieval, 2022 Keyphrase extraction is the process of automatically selecting a small set of most relevant phrases from a given text. Supervised keyphrase extraction approaches need large amounts of labeled training data and perform poorly outside the domain of the ...
Tim Schopf, Simon Klimek, F. Matthes
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PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 We present the first multi-task learning model – named PhoNLP – for joint Vietnamese part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing.
L. T. Nguyen, Dat Quoc Nguyen
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Conformal prediction for text infilling and part-of-speech prediction [PDF]
The New England Journal of Statistics in Data Science, 2021 Modern machine learning algorithms are capable of providing remarkably accurate point-predictions; however, questions remain about their statistical reliability.
N. Dey +6 more
semanticscholar +1 more source
Improving neural machine translation with POS-tag features for low-resource language pairs
Heliyon, 2022 Integrating linguistic features has been widely utilized in statistical machine translation (SMT) systems, resulting in improved translation quality. However, for low-resource languages such as Thai and Myanmar, the integration of linguistic features in ...
Zar Zar Hlaing +3 more
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To the problem of parts of speech in languages of various typological system [PDF]
Актуальные проблемы филологии и педагогической лингвистики, 2019 The article is devoted by one of current problems of Turkic linguistics – problem of selection and classification of parts of speech. In it different approaches to selection of parts of speech are analyzed, criteria of differentiation of parts of speech ...
Sultanbaeva Hadisa V.
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