Results 11 to 20 of about 221,296 (163)
Statistical Models for Unsupervised Learning of Morphology and POS Tagging [PDF]
, 2011 This thesis concentrates on two fields in natural language processing. The main contribution of the thesis is in the field of morphology learning. Morphology is the study of how words are formed combining different language constituents (called morphemes)
Can, Burcu
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, 2015 Part-of-Speech (POS) tagging is a key stepin many NLP algorithms. However, tweetsare difficult to POS tag because there aremany phenomena that frequently appear inTwitter that are not as common, or are entirelyabsent, in other domains: tweets areshort ...
Ramsay, Allan, Albogamy, Fahad
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Tagging the Bard : Evaluating the Accuracy of a Modern POS Tagger on Early Modern English Corpora [PDF]
, 2007 In this paper we focus on automatic part-of-speech (POS) annotation, in the context of historical English texts. Techniques that were originally developed for modern English have been applied to numerous other languages over recent years.
Baron, Alistair +4 more
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MulTed: a multilingual aligned and tagged parallel corpus [PDF]
Applied Computing and Informatics, 2022 Recently, more data-driven approaches are demanding multilingual parallel resources primarily in the cross-language studies. To meet these demands, building multilingual parallel corpora are becoming the focus of many Natural Language Processing (NLP ...
Imad Zeroual, Abdelhak Lakhouaja
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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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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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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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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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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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Glass eels and viruses – a lesson learnt from stocking the eastern German Baltic Sea coast
Transboundary and Emerging Diseases, Accepted Article., 2022 Abstract Concerns about Anguillid herpesvirus 1 (AngHV‐1) in European eels, especially due to stocking measures, is increasingly coming into focus and raises questions regarding disease monitoring and prevention. In the past, stocking of AngHV‐1‐positive eels into waters assumed AngHV‐1‐free has led to a rapid increase of infected eels in the wild. For
Laura Kullmann +3 more
wiley +1 more source