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King Saud University Corpus of Classical Arabic (KSUCCA) is any pioneering 50 million tokens annotated corpus in regard to Classical Arabic texts with regard to the period for pre-Islamic era until the tetramerous Hijri century (equivalent to the period from the seventh in the list until early eleventh century CE), from which exists no period of absolute classical Arabic. The main aim pertaining to this corpus is to be used for studying certain distributional semantic semantics of The Holy Book words. However, the event can be used for other research purposes, such as:•Arabic linguistics, which includes: lexical, morphological, syntactic, semantic and pragmatic research.•Arabic computational linguistics, which entails: lexical, morphological, syntactic, interpretative and pragmatic research including their several kinds of applications.•Arabic language teaching for both Arabs and non Arabs.•Artificial intelligence.•Natural language processing.•Information retrieval.•Question answering.•Machine translation.

Features

• An electronic corpus: facilitating faster and more accurate investigation of written Arabic.
• A synchronic pool: including Arabic compositions from the period regarding pre-Islamic era until the quartile Hijri century (equivalent to a period from the the seventh point until early eleventh period CE), which is the period of pure standard Arabic.
• A general batch: covering a wide coverage of modes making it suitable for mixed research subjects.
• A representative corpus: thing can manage to be used as the basis for generalizations concerning Classical Arabic.
• A balanced corpus: the number of file samples taken from each genre is proportional to that genre.
• A monolingual archive: containing written text of classical Arabic.
• An unvowelized collection of works: only the script of the holy Quran turn vowelized.
• A raw range: containing no notating, lemmatization moreover not any further form of annotation, honestly subdued text.
• An automatically annotated version of the corpus with lemma, stem, POS tag, gender as well indicator annotations is also available.

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CategoriesLinguistics, Natural Dialect Analyzing (NLP) LicenseCreative Commons Attribution Non-Commercial License V2.0 Follow KSUCCA Batch

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Be the first to post a review of KSUCCA Grouping! Additional Project Details Operating SystemsLinux, Android, Apple iPhone, Mac, Casements Registered 2019-11-20 Similar Business Software

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