Showing 5 open source projects for "arabic stem"

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  • 1

    KSUCCA Corpus

    A 50 million tokens corpus of Classical Arabic.

    King Saud University Corpus of Classical Arabic (KSUCCA) is a pioneering 50 million tokens annotated corpus of Classical Arabic texts from the period of pre-Islamic era until the fourth Hijri century (equivalent to the period from the seventh until early eleventh century CE), which is the period of pure classical Arabic. The main aim of this corpus is to be used for studying the distributional lexical semantics of The Quran words. However, it can be used for other research purposes...
    Downloads: 5 This Week
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  • 2
    Our mission is to develop open source solutions and provides professional support helps small and medium size companies meet the challenges of developing professional Arabic websites in the PHP/MySQL environment based on our experience in Arabic language processing, the library that we develop helps companies save time and increase productivity.
    Downloads: 4 This Week
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  • 3

    BuckTagger

    User-assisted tool for Arabic stem entry to Buckwalter Morpho Analyzer

    Using rules written in a Drools decision table, BuckTagger determines the correct Buckwalter Tag based on morphological properties of the input, automatically extracted or given by the user. At the moment, BuckTagger is not complete; it can only handle input that is: - Uninflected - In lexical form, i.e., no clitics or affixes. - A Perfect or Imperfect Verb - Preferably the first and before-last letters are diacritized/vocalized. The interface is in Arabic. See the README for more...
    Downloads: 0 This Week
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  • 4

    JAVA Arabic Stemmer

    A JAVA class with a small functionality that is stemming Arabic words

    A JAVA Arabic stemmer that is based on Shereen Khoja algorithm. This java class offers a function called stemWrod which takes an arabic word and return the stem of it.
    Downloads: 7 This Week
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  • 5
    Alkhalil Morpho Sys is a morphosyntactic parser of Arabic words. The system can process non vocalized texts as well as partially or totally vocalized ones. Our approach is based on modelling a very large set of Arabic morphological rules, and also on integrating linguistic resources, such as the root database, vocalized patterns associated with roots, and proclitic and enclitic tables. As an output of the analysis, we have a highly informative table mainly containing vocalization of the stem...
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    Downloads: 4 This Week
    Last Update:
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