Results 11 to 20 of about 4,703 (260)
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, 2022 Large contiguous blocks of unsegmented Khmer words can cause major problems for natural language processing applications such as machine translation, speech synthesis, information extraction, etc.
Sreyteav Sry, Amrudee Sukpan Nguyen
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Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic
Northern European Journal of Language Technology, 2022 Most linguistic studies of Judeo-Arabic, the ensemble of dialects spoken and written by Jews in Arab lands, are qualitative in nature and rely on laborious manual annotation work, and are therefore limited in scale.
Ofra Tirosh-Becker +3 more
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Parts of Speech Tagging for Kannada
Proceedings of the Student Research Workshop Associated with RANLP 2019, 2019 Parts of speech (POS) tagging is the process of assigning the part of speech tag to each and every word in a sentence. In this paper, we have presented POS tagger for Kannada, a low resource south Asian language, using Condition Random Fields. POS tagger developed in the work uses novel features native to Kannada language.
Swaroop L. R +3 more
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F1000Research, 2021 Here we present an annotation of speech in the audio-visual movie “Forrest Gump” and its audio-description for a visually impaired audience, as an addition to a large public functional brain imaging dataset (studyforrest.org).
Christian Olaf Häusler, Michael Hanke
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Part-of-speech tagging with minimal lexicalization [PDF]
, 2004 We use a Dynamic Bayesian Network to represent compactly a variety of sublexical and contextual features relevant to Part-of-Speech (PoS) tagging. The outcome is a flexible tagger (LegoTag) with state-of-the-art performance (3.6% error on a benchmark corpus).
Virginia Savova, Leonid Peshkin
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Literator, 2008 Working with corpora in the South African Bantu languages has up till now been limited to the utilisation of raw corpora. Such corpora, however, have limited functionality.
E. Taljard +3 more
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Reducing Confusion in Active Learning for Part-Of-Speech Tagging
Transactions of the Association for Computational Linguistics, 2021 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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Setswana Part of Speech Tagging
International Journal on Natural Language Computing, 2017 Part of speech tagging is one of the basic steps in natural language processing. Although it has been investigated for many languages around the world, very little has been done for Setswana language. Setswana language is written disjunctively and some words play multiple functions in a sentence.
Gabofetswe Malema +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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MALAY PART OF SPEECH TAGGING USING RULED-BASED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2017 The research on part of speech (POS) tagging has been widely applied and used through a variety of approaches, particularly for European languages. But it is more challenging for Asian languages, especially Malay as it has some element of modification ...
Nur Ashikin Halid, Nazlia Omar
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