Developing an Algorithm for Identification and Categorization of Scientific Terms in Natural Language Text Through the Elements of Artificial Intelligence

摘要

The paper provides a detailed description of the algorithms developed for linguistic purposes. We used the elements of supervised machine learning to identify and categorize new elements (scientific terms) in specialized texts in English. The algorithms are developed in the form of a modified version of the classical Rosenblatt's perceptron and presented in the article as the consequence of stages corresponding to the terms identification procedure, one-, two-, and three-word terms identification, the generalized and reduced schemes of one-, two-, and three-word terms categorization.