Results 21 to 30 of about 7,575 (302)
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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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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Part-of-speech tagging with neural networks [PDF]
Proceedings of the 15th conference on Computational linguistics -, 1994 5 ...
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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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Part-of-Speech Tagging for Historical English [PDF]
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 As more historical texts are digitized, there is interest in applying natural language processing tools to these archives. However, the performance of these tools is often unsatisfactory, due to language change and genre differences. Spelling normalization heuristics are the dominant solution for dealing with historical texts, but this approach fails ...
Yi Yang 0038, Jacob Eisenstein
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Part of Speech Tagging: Shallow or Deep Learning?
Northern European Journal of Language Technology, 2018 Deep neural networks have advanced the state of the art in numerous fields, but they generally suffer from low computational efficiency and the level of improvement compared to more efficient machine learning models is not always significant. We perform
Robert Östling
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Part of speech tagging for Mongolian corpus [PDF]
Proceedings of the 7th Workshop on Asian Language Resources - ALR7, 2009 This paper introduces the current result of a research work which aims to build a 5 million tagged word corpus for Mongolian. Currently, around 1 million words have been automatically tagged by developing a POS tagset and a bigram POS tagger.
Purev Jaimai, Odbayar Chimeddorj
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Morphological Analysis of the Slovak Language
Advances in Electrical and Electronic Engineering, 2015 This paper proposes a new statistic-based method of segmenting words by identification of a suffix. Ability to identify suffix can improve morphological analysis by allowing the classifier to assign tags to words previously unseen in the training corpus.
Daniel Hladek, Jan Stas, Josef Juhar
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