Results 11 to 20 of about 3,469 (186)
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Part-of-Speech (POS) tags are routinely included as features in many NLP tasks. However, the importance and usefulness of POS tags needs to be examined as NLP expands to low-resource languages because linguists who provide many annotated resources do not place priority on early identification and tagging of POS.
Sarah R. Moeller, Ling Liu, Mans Hulden
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A Machine Learning Approach to POS Tagging [PDF]
Machine Learning, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lluís Màrquez +2 more
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A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text
BMC Medical Informatics and Decision Making, 2019 Background Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental tasks of Chinese text processing. They are usually preliminary steps for lots of Chinese natural language processing (NLP) tasks.
Ying Xiong +7 more
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BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging
IEEE Access, 2022 In Natural Language Processing, Parts-of-Speech tagging is a vital component that significantly impacts applications like machine translation, spell-checker, information retrieval, and speech processing.
Jesan Ahammed Ovi +2 more
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Bayesian Belief Networks to handle NLP problems [PDF]
E3S Web of ConferencesIn corpus linguistics, part-of-speech tagging (POS tagging or PoS tagging or POST), also called grammatical tagging is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, based on both its definition and ...
Sak Alexander
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Information, 2017 Uyghur is an agglutinative and a morphologically rich language; natural language processing tasks in Uyghur can be a challenge. Word morphology is important in Uyghur part-of-speech (POS) tagging.
Maihemuti Maimaiti +3 more
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Developing a POS Tagged Corpus of Urdu Tweets
Computers, 2020 Processing of social media text like tweets is challenging for traditional Natural Language Processing (NLP) tools developed for well-edited text due to the noisy nature of such text.
Amber Baig +3 more
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Old Catalan Morphosyntax: Developing an Annotated Corpus
Journal of Open Humanities Data, 2021 This paper presents a full procedure for the development of a Part-of-Speech (POS) tagged corpus of Old Catalan. As an extremely low-resource language with rich inflection and frequent homographs, Old Catalan poses non-trivial problems in the development
Marieke Meelen, Afra Pujol i Campeny
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Improving part-of-speech tagging in Amharic language using deep neural network
Heliyon, 2023 To date, several POS taggers have been introduced to facilitate the success of semantic analysis for different languages. However, the task of POS tagging becomes a bit intricate in morphologically complex languages, like Amharic.
Sintayehu Hirpassa, G.S. Lehal
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POS Tagging and Its Applications for Mathematics [PDF]
, 2014 Content analysis of scientific publications is a nontrivial task, but a useful and important one for scientific information services. In the Gutenberg era it was a domain of human experts; in the digital age many machine-based methods, e.g., graph analysis tools and machine-learning techniques, have been developed for it.
Ulf Schöneberg, Wolfram Sperber
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