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- W2557630106 abstract "Diacritization of written text has a significant impact on Arabic NLP applications. We present an approach to Arabic automatic diacritization that integrates morphological analysis with shallow syntactic analysis. The developed system (Alserag) is a rule based system. The system depends on three modules in order to provide fully diacritized Arabic words namely, morphological analysis module, syntactic analysis module and morph-phonological processing module. The results of the system were evaluated for accuracy against the reference using two metrics; diacritization error rate (DER) and word error rate (WER). The DER measurement was 8.68 % while WER measurement was 18.63 %. The system is benchmarked against three known diacritization systems; Harakat, Mishkal, and Aldoaly." @default.
- W2557630106 created "2016-12-08" @default.
- W2557630106 creator A5089945941 @default.
- W2557630106 date "2016-10-18" @default.
- W2557630106 modified "2023-09-25" @default.
- W2557630106 title "Alserag: An Automatic Diacritization System for Arabic" @default.
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- W2557630106 doi "https://doi.org/10.1007/978-3-319-48308-5_18" @default.
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