A novel approach for ranking spelling error corrections for Urdu.
This paper presents a scheme for ranking of spelling error corrections for Urdu. Conventionally spell-checking techniques do not provide any explicit ranking mechanism. Ranking is either implicit in the correction algorithm or corrections are not ranked at all. The research presented in this paper s...
| Publicado en: | Language Resources & Evaluation Vol. 41; no. 2; pp. 117 - 129 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
May2007
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=27362874&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 27362874 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: May2007 vid: 41 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 27362874 10.1007/s10579-007-9028-6 ppf: 117 ppct: 12 formats: fmt: @attributes: type: P size: 176KB tig: atl: A novel approach for ranking spelling error corrections for Urdu. aug: au: Naseem, Tahira Hussain, Sarmad affil: Center for Research in Urdu Language Processing , National University of Computer and Emerging Sciences , Lahore Pakistan su: Spelling errors Urdu language Ranking Algorithms Morphology (Grammar) Word frequency Phonetics sug: subj: Spelling errors Urdu language Ranking Algorithms Morphology (Grammar) Word frequency Phonetics keyword: Correction ranking Shapex Soundex Spelling error correction Urdu ab: This paper presents a scheme for ranking of spelling error corrections for Urdu. Conventionally spell-checking techniques do not provide any explicit ranking mechanism. Ranking is either implicit in the correction algorithm or corrections are not ranked at all. The research presented in this paper shows that for Urdu, phonetic similarity between the corrections and the erroneous word can serve as a useful parameter for ranking the corrections. This combined with a new technique Shapex that uses visual similarity of characters for ranking gives an improvement of 23% in the accuracy of the one-best match compared to the result obtained when the ranking is done on the basis of word frequencies only. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2007. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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