Lexicon-Grammar Tables Development for Arabic Psychological Verbs

Amzali, Asmaa; Kourtin, Asmaa; Mourchid, Mohammed; Mouloudi, Abdelaziz; Mbarki, Samir

doi:10.1007/978-3-030-38833-1_2

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…This analyzer aims to analyze and annotate complex sentences that contain psychological verbs. We extend our previous research [9], [27], [28], where we developed a lexicon grammar table [29]- [34] for Arabic psychological verbs. These efforts resulted in the creation of a NooJ dictionary containing about 400 entries for this specific verb category.…”

Section: Methodsmentioning

confidence: 93%

“…Each sequence of linguistic units (ALUs) forms the building blocks of meaning, making syntactic analysis a cornerstone of deep natural language understanding. In our previous work [8], we addressed the syntactic analysis of simple sentences containing Arabic psychological verbs [9]- [14] using the linguistic tool NooJ. This initial work laid the foundation for our current study.…”

Section: Introductionmentioning

confidence: 99%

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Syntactic analysis of complex sentences containing Arabic psychological verbs

Amzali,

Kourtin,

Mourchid

et al. 2024

IJEECS

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Complex Arabic sentences, especially those containing Arabic psychological verbs, follow a common underlying structure characterized by two essential components: the predicate and the subject. In addition, there are two optional elements: the head and the complement. These sentences, rooted in basic noun phrases (NPs), can be expanded within the predicate, subject, or complement, resulting in compound structures. This study aims to develop a syntactic analyzer for parsing complex sentences containing Arabic psychological verbs. To achieve this, we will use the dictionary generated from the lexicon-grammar table of Arabic psychological verbs, which contains all lexical, syntactic, semantic, and transformational information related to these verbs. Then, we will extend an existing analyzer to recognize and label all grammatical structures within complex sentences containing Arabic psychological verbs. Finally, we will evaluate the efficiency of this analyzer through tests on different texts and corpora.

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Section: Methodsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Syntactic analysis of complex sentences containing Arabic psychological verbs

Amzali,

Kourtin,

Mourchid

et al. 2024

IJEECS

View full text Add to dashboard Cite

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“…In the case of Arabic, El Hannach [17] pioneered this approach by studying psychological verbs, qualitative verbs [18], and support verbs [19]. In a parallel effort, Amzali et al [20] created lexicon-grammar tables for psychological verbs, studied their transformations [21], and their syntactic analysis [22]. In a related context, Kourtin et al [23] developed a program to generate NooJ dictionaries from lexicongrammar tables and created lexicon-grammar tables for modern Arabic frozen expressions [24].…”

Section: Introductionmentioning

confidence: 99%

Lexicon-grammar tables standardization and implementation

Kourtin,

Amzali,

Mourchid

et al. 2024

IJEECS

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<span>The lexicon-grammar approach is a very important linguistic approach in automatic natural language processing (NLP). It allows for the description of the lexicon of the language through readable and intuitive tables for human manual editing. However, the automatic use of the lexicon-grammar tables in the automatic NLP platforms remains difficult, given the incompatibility between the codes used to represent the properties in the lexicon-grammar tables and those used to represent the properties in the automatic NLP platforms. In this work, we present our method of standardizing the lexicon-grammar tables for the French language, since they constitute very rich lexical, syntactic, and semantic linguistic resources. First, we standardize their properties so that they can be compatible with those used in the NLP platforms. Then, to implement the standardized tables, we used a linguistic platform such as NooJ. For that, we describe the process of integrating these tables into this platform through the automatic generation of the dictionaries from these tables. Finally, to test the efficiency of the generated dictionaries, we create for some of them syntactic grammars that take into account all the grammatical, syntactic, and semantic information contained in the dictionaries.</span>

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