Results 21 to 30 of about 4,321 (229)
Establishing a COVID-19 lemmatized word list for journalists and ESP learners
Indonesian Journal of Applied Linguistics, 2022 The aim of this research is two-fold; first, to explore the most frequent COVID-19 inspired words in medical news reporting contexts, and second, to classify them into different categories.
Hadeel A Saed +4 more
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Recurrent Pattern Modelling in a Corpus of Armenian Manuscript Colophons [PDF]
Journal of Data Mining and Digital Humanities, 2018 Colophons of Armenian manuscripts are replete with yet untapped riches. Formulae are not the least among them: these recurrent stereotypical patterns conceal many clues as to the schools and networks of production and diffusion of books in Armenian ...
Emmanuel Van Elverdinghe
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Translating Speech to Indian Sign Language Using Natural Language Processing
Future Internet, 2022 Language plays a vital role in the communication of ideas, thoughts, and information to others. Hearing-impaired people also understand our thoughts using a language known as sign language.
Purushottam Sharma +4 more
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A novel Arabic lemmatization algorithm [PDF]
Proceedings of the second workshop on Analytics for noisy unstructured text data, 2008 Tokenization is a fundamental step in processing textual data preceding the tasks of information retrieval, text mining, and natural language processing. Tokenization is a language-dependent approach, including normalization, stop words removal, lemmatization and stemming.Both stemming and lemmatization share a common goal of reducing a word to its ...
Eiman Tamah Al-Shammari +1 more
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Legal Terms in General Dictionaries of English: The Civil Procedure Mystery
Lexikos, 2015 Many general language dictionaries contain specialized terms, including legal terms relating to civil lawsuits. The existing literature provides general discussions of scientific and technical terms in ordinary dictionaries but does not specifically ...
Sandro Nielsen
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Morphological Tagging and Lemmatization in the Albanian Language
SEEU Review, 2021 An important element of Natural Language Processing is parts of speech tagging. With fine-grained word-class annotations, the word forms in a text can be enhanced and can also be used in downstream processes, such as dependency parsing.
Mati Diellza Nagavci +2 more
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Developing Core Technologies for Resource-Scarce Nguni Languages
Information, 2021 The creation of linguistic resources is crucial to the continued growth of research and development efforts in the field of natural language processing, especially for resource-scarce languages.
Jakobus S. du Toit, Martin J. Puttkammer
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A Memory-Based Lemmatizer for Ancient Greek [PDF]
Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage, 2017 In this paper we present the lemmatizer that we developed for Ancient Greek: GLEM. As far as we know, GLEM is the first publicly available lemmatizer for Ancient Greek that uses POS information to disambiguate and that also assigns output to unseen words, words that are not yet in the lexicon.As the basis for the lemmatizer we used an existing memory ...
Corien Bary, Peter Berck, Iris Hendrickx
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Die Lemmatisierung von Goethes "Wahlverwandtschaften"
Hermes, 1993 In German studies computer-oriented methods are taking on an increasing significance and consequently should be considered in detail together with all the problems connected with them. This article deals with the automatic lemmatization of Goethe's novel
Martina Schwanke
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Detection of Sensitive Data to Counter Global Terrorism
Applied Sciences, 2019 Global terrorism has created challenges to the criminal justice system due to its abnormal activities, which lead to financial loss, cyberwar, and cyber-crime.
Binod Kumar Adhikari +4 more
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