Abstract
In the Arabic language, all the structures of simple verbal sentences have the same main components: the predicate (al-mosnad, ), the subject (al-mosnad ‘ilayh, ) that are mandatory in the Arabic sentence, and the complement (al-fodla, ) to reach the meaning of the sentence. In this paper, we will expand and improve our previous work of identification and classification of Arabic psychological verbs through lexicon-grammar tables [1], to be able to realize a syntactic analyzer of sentences containing Arabic psychological verbs using the NooJ platform. In this regard, we will use the dictionary with about 400 verb entries, containing all the lexical, syntactic, semantic, and transformational information of these verbs, which will facilitate the realization of our analyzer. Then, we will adapt to our needs, the simple sentences analyzer [2, 3], to parse the sentences containing Arabic psychological verbs regardless of the sentence components order. The parser is tested on many texts, and the results were satisfactory.
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Amzali, A., Kourtin, A., Mourchid, M., Mouloudi, A., Mbarki, S. (2021). Syntactic Analysis of Sentences Containing Arabic Psychological Verbs. In: Bigey, M., Richeton, A., Silberztein, M., Thomas, I. (eds) Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities. NooJ 2021. Communications in Computer and Information Science, vol 1520. Springer, Cham. https://doi.org/10.1007/978-3-030-92861-2_5
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