Results 11 to 20 of about 349,001 (336)
TnT – A Statistical Part-of-Speech Tagger [PDF]
Applied Natural Language Processing Conference, 2000 Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov models performs at least as well as other current approaches, including the Maximum ...
T. Brants
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Decoding Part-of-Speech from Human EEG Signals
Annual Meeting of the Association for Computational Linguistics, 2022 This work explores techniques to predict Part-of-Speech (PoS) tags from neural signals measured at millisecond resolution with electroencephalography (EEG) during text reading. We first show that information about word length, frequency and word class is
Alex Murphy +3 more
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Does Part of Speech Have an Influence on Cyberbullying Detection?
Analytics, 2023 With the development of the Internet, the issue of cyberbullying on social media has gained significant attention. Cyberbullying is often expressed in text.
Jingxiu Huang +5 more
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Developing e-learning media in grammar instruction for beginner learners
JEES (Journal of English Educators Society), 2021 The present study intended to develop E-learning media in teaching grammar for beginner learners. In developing the product, this study adapted the ADDIE model. The product that was developed using construct application focused on part of speech material.
Nurul Afidah +2 more
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Reducing Confusion in Active Learning for Part-Of-Speech Tagging [PDF]
Transactions of the Association for Computational Linguistics, 2020 Active learning (AL) uses a data selection algorithm to select useful training samples to minimize annotation cost. This is now an essential tool for building low-resource syntactic analyzers such as part-of-speech (POS) taggers.
Aditi Chaudhary +3 more
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Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
North American Chapter of the Association for Computational Linguistics, 2003 We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on ...
Kristina Toutanova +3 more
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Automatic correction of part-of-speech corpora [PDF]
, 2008 In this study a simple method for automatic correction of part-ofspeech corpora is presented, which works as follows: Initially two or more already available part-of-speech taggers are applied on the data.
Reichel, Uwe D. +1 more
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, 2021 Spectral envelope modeling is an instrumental part of speech and audio codecs, which can be used to enable efficient entropy coding of spectral components.
Bäckström, Tom +3 more
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Distributional part-of-speech tagging [PDF]
Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics -, 1995 This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in context instead of word types. The algorithm is evaluated on the Brown Corpus.
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Fragmentation and part of speech disambiguation [PDF]
Proceedings of the third conference on European chapter of the Association for Computational Linguistics -, 1987 That at least some syntax is necessary to support semantic processing is fairly obvious. To know exactly how much syntax is needed, however, and how and when to apply it, is still an open and crucial, albeit old, question. This paper discusses the solutions used in a semantic analyser of French called SABA, developed at the University of Liege, Belgium.
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