Abstract
This article presents the inflectional and the derivational model of Arabic verbs based on root and pattern approach, using a linguistic classification that determines and specifies a set of morphological properties.
Our work in NOOJ platform is based on:
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A dictionary that consists of roots, lemmas and patterns.
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Generating all possible verbs inflectional and derivational forms using our NooJ grammars.
Since formalizing Arabic verb’s requires the determination of certain unavoidable morphological properties as root and pattern, we started by specifying them; the matching process between them gives twenty thousand verbs entries [1]. Consequently, this work stands on the following principles:
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Categorizing all possible roots and patterns.
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Matching roots with patterns that give Lemma, which is a verb in our case.
Our dictionary considers, in addition to roots and patterns, lemmas as dictionary entries, which allows making an advanced search in a text.
Root and pattern serve to build the meaning of most Arabic word [1]. For instance, matching the with the pattern , gives the lemma (verb): ; matching the same root with the pattern gives the lemma (noun): ; matching the same root with different patterns gives different Arabic words.
The implementation of this work is a dictionary that contains all inflectional and derivational verbs forms.
Adding other Arabic words (nouns, adjectives, infinitives) with their inflectional and derivational forms, in order to complete our dictionary, is considered as our future perspective.
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Blanchete, I., Mourchid, M., Mbarki, S., Mouloudi, A. (2018). Formalizing Arabic Inflectional and Derivational Verbs Based on Root and Pattern Approach Using NooJ Platform. In: Mbarki, S., Mourchid, M., Silberztein, M. (eds) Formalizing Natural Languages with NooJ and Its Natural Language Processing Applications. NooJ 2017. Communications in Computer and Information Science, vol 811. Springer, Cham. https://doi.org/10.1007/978-3-319-73420-0_5
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DOI: https://doi.org/10.1007/978-3-319-73420-0_5
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Online ISBN: 978-3-319-73420-0
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