Evaluation and Enrichment of Stanford Parser Using an Arabic Property Grammar

Bahloul, Raja Bensalem; Kadri, Nesrine; Haddar, Kais; Blache, Philippe

doi:10.1007/978-3-319-77113-7_14

Cited by 1 publication

(2 citation statements)

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“…The latter authors enriched the ATB with syntactic properties thanks to a formal modeling method [Bensalem 2015a]. Bensalem et al [Bensalem 2018] also applied this PG enrichment to the parsing results of the Stanford Parser and evaluated it in terms of the satisfied properties.…”

Section: Property Grammarsmentioning

confidence: 99%

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An Arabic Probabilistic Parser Based on a Property Grammar

Bensalem,

Haddar,

Blache

2023

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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The specificities of the Arabic parsing such as the agglutination, the vocalization and the relatively order-free of words in the Arabic sentences, remain a major issue to consider. To promote its robustness, such parser should define different types of constraints. The Property Grammar formalism (PG) verify the satisfiability of the constraints directly on the units of the structure, thanks to its properties (or relations). In this context, we propose to build a probabilistic parser with syntactic properties, using a PG, and we measure the production rules in terms of different implicit information and in particular the syntactic properties. We experimented our parser on the treebank ATB using the parsing algorithm CYK and obtained encouraging results. Our method is also automatic for the implementation of most property type. Its generalization for other languages or corpus domains (using treebanks) could be a good perspective. Its combination with the pre-trained models of BERT may also make our parser faster.

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Section: Property Grammarsmentioning

confidence: 99%

“…After that, we enrich the Stanford parse trees with the properties of this PG. We use the measure of [Bensalem 2018] to calculate the similarity degree between properties. It uses the scores of Precision (P) and the Recall(R) (as shown in Table 8).…”

Section: Experiments On a State-of-the-art Parser: Stanford Parsermentioning

confidence: 99%