About: Arabic Word Generation and Modelling for Spell Checking

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Arabic is a language known for its rich and complex morphology. Although many research projects have focused on the problem of Arabic morphological analysis using different techniques and approaches, very few have addressed the issue of generation of fully inflected words for the purpose of text authoring. Available open-source spell checking resources for Arabic are too small and inadequate. Ayaspell, for example, the official resource used with OpenOffice applications, contains only 300,000 fully inflected words. We try to bridge this critical gap by creating an adequate, open-source and large-coverage word list for Arabic containing 9,000,000 fully inflected surface words. Furthermore, from a large list of valid forms and invalid forms we create a character-based tri-gram language model to approximate knowledge about permissible character clusters in Arabic, creating a novel method for detecting spelling errors. Testing of this language model gives a precision of 98.2% at a recall of 100%. We take Arabic is a language known for its rich and complex morphology. Although many research projects have focused on the problem of Arabic morphological analysis using different techniques and approaches, very few have addressed the issue of generation of fully inflected words for the purpose of text authoring. Available open-source spell checking resources for Arabic are too small and inadequate. Ayaspell, for example, the official resource used with OpenOffice applications, contains only 300,000 fully inflected words. We try to bridge this critical gap by creating an adequate, open-source and large-coverage word list for Arabic containing 9,000,000 fully inflected surface words. Furthermore, from a large list of valid forms and invalid forms we create a character-based tri-gram language model to approximate knowledge about permissible character clusters in Arabic, creating a novel method for detecting spelling errors. Testing of this language model gives a precision of 98.2% at a recall of 100%. We take (en)
Title	Arabic Word Generation and Modelling for Spell Checking Arabic Word Generation and Modelling for Spell Checking (en)
skos:prefLabel	Arabic Word Generation and Modelling for Spell Checking Arabic Word Generation and Modelling for Spell Checking (en)
skos:notation	RIV/00216208:11320/12:10130096!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GBP103/12/G084)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Pecina, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	123514
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/12:10130096
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	checking; spell; modelling; generation; word; arabic (en)
http://linked.open.../riv/klicoveSlovo	arabic checking modelling word spell generation
http://linked.open...ontrolniKodProRIV	[4C22BE63E74C]
http://linked.open...v/mistoKonaniAkce	İstanbul, Turkey
http://linked.open...i/riv/mistoVydani	İstanbul, Turkey
http://linked.open...i/riv/nazevZdroje	Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Center for Large Scale Multi-modal Data Interpretation
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Pecina, Pavel van Genabith, Josef Attia, Mohammed Samih, Younes Shaalan, Khaled
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2012-05-21 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	European Language Resources Association
https://schema.org/isbn	978-2-9517408-7-7
http://localhost/t...ganizacniJednotka	11320

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