SOTAVerified

Arabic Text Diacritization

Addition of diacritics for undiacritized arabic texts for words disambiguation.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 13 papers

TitleStatusHype
Sadeed: Advancing Arabic Diacritization Through Small Language Model—0
CATT: Character-based Arabic Tashkeel TransformerCode2
Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need—0
Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization—0
LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization—0
Effective Deep Learning Models for Automatic Diacritization of Arabic TextCode1
Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic DiacritizationCode1
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language ProcessingCode1
Multi-components System for Automatic Arabic DiacritizationCode1
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine TranslationCode0
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All datasetsCATTTashkeela

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ShakkalaDiacritic Error Rate0.04—Unverified
2MCDiacritic Error Rate0.03—Unverified
3D2Diacritic Error Rate0.02—Unverified
4D3 (D2 + decoder)Diacritic Error Rate0.02—Unverified
5ShakkelhaDiacritic Error Rate0.02—Unverified
6CBHG modelDiacritic Error Rate0.01—Unverified