Home / Author Archives: Imad ZEROUAL

Author Archives: Imad ZEROUAL

MulTed corpus

The corpus will be available for Download soon Abstract: The MulTed is a multilingual aligned and tagged parallel corpus. i.e.,  it is multilingual and Part of Speech (PoS) tagged, but the sentence-alignment is bilingual, with English as a pivot language. ...

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OSIAN corpus

The corpus will be available for Download soon You can download sample files Abstract: The Open Source International Arabic News (OSIAN) corpus has been collected from international Arabic news websites like CNN, DW, RT, Aljazeera, among others. With a server-friendly ...

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Abstract: Many children, since the early years of schooling, face different learning disorders usually identified as dyslexia, dysgraphia and dyscalculia. These disorders are simply an unusual way of acquiring new knowledge and skills. However, they disturb the normal academic achievement ...

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Arabic PoS tagset

Abstract: Part of Speech (PoS) tagging is still not very well investigated with respect to the Arabic language. Determining the PoS tags of a word in a particular context is difficult, primarily because there is no use of diacritics in ...

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Abstract: Several probabilistic methods used for Part of speech (POS) tagging are based on Hidden Markov Models (HMM), these methods have difficulties especially in estimating transition probabilities accurately from limited amounts of training data. Consequently, a new method appeared to ...

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Al-Mus’haf Corpus

Download a tagged version with Arabic Standard tagset Download a tagged version with Universal tagset Abstract: There is not a widely amount of available annotated Arabic corpora. This leads us to contribute to the enrichment of Arabic corpora resources. In ...

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AlKhalil Lemmatizer

Demo Abstract We present in this article an Arabic lemmatizer that assigns to each word of an Arabic sentence, a single lemma taking into account the word context. The proposed system comprises two modules. The first one consists in an ...

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AlKhalil Stemmer

Abstract: Stemming is the main step used for handling the morphologically rich languages such as Arabic. It is usually used in several types of applications such as natural language processing, information retrieval, and text mining. The goal of stemming is ...

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