Abstract
Language resources such as grammars or dictionaries are very important to any natural language processing application. Unfortunately, the manual construction of these resources is laborious and time-consuming. The use of annotated corpora as a knowledge database might be a solution to a fast construction of a grammar for a given language. In this paper, we present our framework to automatically induce a syntactic grammar from an Arabic annotated corpus (The Penn Arabic TreeBank), a probabilistic context free grammar in our case. The developed system allows the user to build a probabilistic context free grammar from the annotated corpus syntactic trees. It’s also offer the possibility to parse Arabic sentences using the generated resource. Finally, we present evaluation results.
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Khoufi, N., Aloulou, C., Hadrich Belguith, L. (2018). A Framework for Language Resource Construction and Syntactic Analysis: Case of Arabic. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9623. Springer, Cham. https://doi.org/10.1007/978-3-319-75477-2_25
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DOI: https://doi.org/10.1007/978-3-319-75477-2_25
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