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Using Grapheme N-Grams In Spelling Correction And Augmentative Typing Systems

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dc.contributor.advisor Sobh, Tarek M. en_US
dc.contributor.author Sobh, Tarek M. en_US
dc.contributor.author Memushaj, Alket en_US
dc.date.accessioned 2014-07-16T16:37:33Z
dc.date.available 2014-07-16T16:37:33Z
dc.date.issued 2008 en_US
dc.identifier.citation T. M. Sobh, A. Memushaj, "Using Grapheme N-Grams In Spelling Correction And Augmentative Typing Systems," New Mathematics and Natural Computation, vol. 4, no. 1, 2008.
dc.identifier.other 1aa5926b-a3ae-3cbd-95e7-56f7c3580f8d en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/517
dc.description As we do not have a preprint copy to legally post please request it through inter-library loan from your home library or use the link to obtain this article directly from World Scientific. en_US
dc.description.abstract Probabilistic language models have gained popularity in Natural Language Processing due to their ability to successfully capture language structures and constraints with computational efficiency. Probabilistic language models are flexible and easily adapted to language changes over time as well as to some new languages. Probabilistic language models can be trained and their accuracy strongly related to the availability of large text corpora. In this paper, we investigate the usability of grapheme probabilistic models, specifically grapheme n-grams models in spellchecking as well as augmentative typing systems. Grapheme n-gram models require substantially smaller training corpora and that is one of the main drivers for this thesis in which we build grapheme n-gram language models for the Albanian language. There are presently no available Albanian language corpora to be used for probabilistic language modeling. Our technique attempts to augment spellchecking and typing systems by utilizing grapheme n-gram language models in improving suggestion accuracy in spellchecking and augmentative typing systems. Our technique can be implemented in a standalone tool or incorporated in another tool to offer additional selection/scoring criteria. en_US
dc.description.uri http://www.worldscientific.com/doi/abs/10.1142/S1793005708000970 en_US
dc.publisher World Scientific Publishing Company en_US
dc.subject Natural language processing en_US
dc.subject Language modeling en_US
dc.subject Statistical language modeling en_US
dc.subject Grapheme n-grams en_US
dc.subject Systemic diseases en_US
dc.subject Cardiovascular system en_US
dc.title Using Grapheme N-Grams In Spelling Correction And Augmentative Typing Systems en_US
dc.type Article en_US
dc.publication.issue 1 en_US
dc.publication.name New Mathematics and Natural Computation en_US
dc.publication.volume 4 en_US
dc.notes 11/22/11-Under the assumption that what was given is the postprint of the article.  Posted the copyright notices. en_US

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