Search Results for "arabic dataset"
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Showing 7 open source projects for "arabic dataset"
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EasyOCR
Ready-to-use OCR with 80+ supported languages
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. EasyOCR is a python module for extracting text from image. It is a general OCR that can read both natural scene text and dense text in document. We are currently supporting 80+ languages and expanding. Second-generation models: multiple times smaller size, multiple times faster inference, additional characters and comparable accuracy to the first... -
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Sentiment dataset of Algerian dialect
Dataset of 11760 sentiment comments written in Algerian dialect
* To cite this dataset refer to https://doi.org/10.31449/inf.v46i6.3340 * This sentiment dataset of Algerian dialect consists of 11760 comments (6111 positive/ 5649 negative comments)) collected from (Facebook, YouTube and Twitter) during Hirak 2019. * Comments concern the Algerian spoken language, written in Arabic and/or Latin characters and/or Arabizi, which could be either Modern Standard Arabic, French or local dialect -
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Tashkeela processed
Tashkeela dataset cleaned and normalized.
A version of the Tashkeela Arabic diacritized text dataset cleaned from the non-Arabic content and the undiacritized text, then divided into training, development, and testing sets. The cleaning process includes removing the XML tags and strange symbols, as well as fixing diacritics errors. After that, the tokenization is performed while focusing on the extraction of the Arabic words. -
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PMU-UD
handwritten dataset of Urdu/Arabic Numerals
The handwritten dataset was collected from 170 participants with a total of 5,180 numeral patterns. The dataset is named Prince Mohammad Bin Fahd University - Urdu/Arabic Database (PMU-UD). -
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“Arabic Wikipedia into Named Entity Taxonomy” is a dataset consists of 4000 of Arabic Wikipedia articles that classified into coarse-grained NE taxonomy. This dataset can be used in document classification tasks in relation to NER. To use this corpus, please cite the following publication: F. Alotaibi and M. Lee, "Mapping Arabic Wikipedia into the Named Entities Taxonomy", In Proceedings of COLING 2012: Posters, p43-52, IIT, Mumbai, India, December 8-15. 2012. ...
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