Grammar Error Correcting by the Means of CFG Parser
Vitalii Vrublevskyi, Oleksandr O. Marchenko · 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT) · 2019
In this paper, we are trying to develop an efficient adjustable model for analyzing syntactical compositions of natural language. The model of a context-free grammar was chosen for the representation of grammar rules of the English language. Based on it we build error correction grammar. The Earley parser was used with an error accumulating algorithm to bring flexibility in the model. As an outcome, an appropriate instrument for natural language parsing was created. It can be used for grammar checking and correcting. Conducted experiments proved the efficiency and correctness of proposed model.