This paper presents a guideline for the construction of formal grammar for the Malagasy language. The used method is based on a deterministic approach given that reliable corpora are not yet available for Malagasy. The main purpose of formal grammar is language recognition which will be the keystone of an automatic grammar checker. Jointly used with an existing part-of-speech-tagger, a grammar checker will bring us further by facilitating the automatic creation of reliable corpora which in turn will boost the Malagasy automatic processing.
References
[1]
Loeckx, J., Mehlhorn, K., & Wilhelm, R. (1986). Grundlagen der Programmiersprachen. Teubner Verlag. https://doi.org/10.1007/978-3-322-94706-2
[2]
Rakotondrafara, A. N., Randimbindrainibe, F., Randriambololona, N. H., & Robinson, M. (2019). Natural Language Processing: Malagasy Part-of-Speech Tagging. International Journal of Advance Research and Innovative Ideas in Education, 5, 705-717.
[3]
Ramik, D. M. (2013). Grammaire Malgache. http://dominicweb.eu/fr/malagasy/grammar/
[4]
Huang, L. (2008). Forest-Based Algorithms in Natural Language Processing. Scientific Research, University of Pennsylvania.
[5]
Clément, L., Gerdes, K., & Marlet, R. (2009). A Grammar Correction Algorithm—Deep Parsing and Minimal Corrections for a Grammar Checker. Proceedings of the 14th International Conference on Formal Grammar (pp. 1-16). https://www.researchgate.net/publication/29600813_A_Grammar_Correction_Algorithm_-_Deep_Parsing_and_Minimal_Corrections_for_a_Grammar_Checker
[6]
Sun, J. W., Du, W. X., & Shi, N. C. (2018). A Survey of kNN Algorithm. Information Engineering and Applied Computing, 1, Article ID: 770. https://doi.org/10.18063/ieac.v1i1.770
