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Grapheme To Phoneme Conversion - An Arabic Dialect Case
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In: Spoken Language Technologies for Under-resourced Languages ; https://hal.inria.fr/hal-01067022 ; Spoken Language Technologies for Under-resourced Languages, May 2014, Saint Petesbourg, Russia (2014)
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| 2 |
Building Resources for Algerian Arabic Dialects
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In: 15th Annual Conference of the International Communication Association Interspeech ; https://hal.inria.fr/hal-01066989 ; 15th Annual Conference of the International Communication Association Interspeech, ISCA, Sep 2014, Singapour, Singapore (2014)
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| 3 |
Splitting Arabic Texts into Elementary Discourse Units
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In: ISSN: 1530-0226 ; ACM Transactions on Asian Language Information Processing ; https://hal.archives-ouvertes.fr/hal-01120621 ; ACM Transactions on Asian Language Information Processing, Association for Computing Machinery, 2014, vol. 13 (n° 2), pp. 1-23. ⟨10.1145/2601401⟩ (2014)
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Why Microsoft Arabic Spell checker is ineffective
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In: ISSN: 0851-6774 ; Linguistica Communicatio ; https://hal.archives-ouvertes.fr/hal-01081965 ; Linguistica Communicatio, http://www.al-erfan.com/, 2014, Arabic Language in Information Technology, 16, pp.55 ; http://www.al-erfan.com/ (2014)
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Abstract:
International audience ; Since 1997, the MS Arabic spell checker was integrated by Coltec-Egypt in the MS-Office suite and till now many Arabic users find it worthless. In this study, we show why the MS-spell checker fails to attract Arabic users. After spell-checking a document (10 pages -3300 words in Arabic), the assessment procedure spots 78 false positive errors. They reveal the lexical resource flaws: an unsystematic lexical coverage of the feminine and the broken plural of nouns and adjectives, and an arbitrary coverage of verbs and nouns with prefixed or suffixed particles. This unsystematic and arbitrary lexical coverage of the language resources pinpoints the absence of a clear definition of a lexical entry and an inadequate design of the related agglutination rules. Finally, this assessment reveals in general the failure of scientific and technological policies in big companies and in research institutions regarding Arabic.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Arabic; Computational Linguistics; dictionary; NLP; spelling error detection
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URL: https://hal.archives-ouvertes.fr/hal-01081965
https://hal.archives-ouvertes.fr/hal-01081965/file/Why%20Microsoft%20Arabic%20Spell%20checker%20is%20ineffective.pdf
https://hal.archives-ouvertes.fr/hal-01081965/document
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| 5 |
Traitement automatique des entités nommées en arabe : détection et traduction
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In: ISSN: 1248-9433 ; EISSN: 1965-0906 ; Revue TAL ; https://hal.archives-ouvertes.fr/hal-01663487 ; Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2014, 54, pp.101-132 (2014)
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