Development of adaptive model for recognition of text inquiries

The paper is devoted to development of adaptive model to recognize the text inquiries using nomenclature reference book. The main calculations on resolution of conflicts which occur at recognition of text inquiries are submitted. Algorithms for solving conflicts use nomenclature reference book and parameters of association rules. Using such method, we take into consideration the previous experience of recognition and adapt the model in accordance with the new results of recognition. Adaptive model to recognize the text inquiries can be applied to different areas. For example, pharmaceutical features and drugs can be recognized in medicine in such a way.