Abstract: A method of extracting the semantic distance from the mathematical sentence and classifying the mathematical sentence by the semantic distance, includes: receiving a user query; extracting at least one keyword included in the received user query; and extracting a semantic distance by, indexing one or more of natural language tokens and mathematical equation tokens including semantic information, extracting the semantic distance, between the at least one extracted keyword and the one or more indexed semantic information by referring indexed information, and acquiring a similarity of the received user query and the semantic information.

Abstract: The present disclosure relates to a method and apparatus for inputting equations. An equation input apparatus includes a learning context recognizer for extracting learning context information regarding a learner; a target equation group extractor for generating a target equation group including target mathematical symbols based on the extracted learning context information; and a predicted equation provider for providing a predicted mathematical symbol list relating to information, input or selected from the target equation group by user command, and for reflecting an equation selected from the predicted mathematical symbol list in the input or selected information.

Abstract: The present disclosure provides a mathematics education service system includes a problem storing unit to store at least one mathematical problem; a transform method executing unit to execute a plurality of problem transform methods; a problem separating unit to collect equations used in the mathematical problem, separate one or more terms from the collected equations by parsing the collected equations, and separate a constant and a variable from each of the separated one or more terms; and a problem generating unit to generate another applied problem of the mathematical problem by applying at least one of the problem transform methods (i) to the collected equations, and (ii) to the constant and the variable of each of the separated one or more terms, wherein the system is configured to provide the mathematical problem and the generated another problem are provided to a learner terminal.

Abstract: The present disclosure relates to a method and apparatus for inputting equations. An equation input apparatus includes a learning context recognizer for extracting learning context information regarding a learner; a target equation group extractor for generating a target equation group including target mathematical symbols based on the extracted learning context information; and a predicted equation provider for providing a predicted mathematical symbol list relating to information, input or selected from the target equation group by user command, and for reflecting an equation selected from the predicted mathematical symbol list in the input or selected information.

Abstract: A method of extracting the semantic distance from the mathematical sentence and classifying the mathematical sentence by the semantic distance, includes: receiving a user query; extracting at least one keyword included in the received user query; and extracting a semantic distance by, indexing one or more of natural language tokens and mathematical equation tokens including semantic information, extracting the semantic distance, between the at least one extracted keyword and the one or more indexed semantic information by referring indexed information, and acquiring a similarity of the received user query and the semantic information.

Abstract: The present disclosure provides an apparatus and method for processing a natural language and a mathematical formula. The apparatus includes a natural language and mathematical formula input unit configured to receive a natural language and a mathematical formula inputted; an information generation unit configured to generate parsing semantic information of the mathematical formula from combined data composed of the natural language combined with the mathematical formula; an operation information extraction unit configured to extract operation information generated by using a logical condition from the combined data; a natural language and mathematical formula structuralizing unit configured to analyze, classify in terms of specific meaning and recombine the combined data; an operation structuralizing unit configured to structuralize the operation information; and a natural language and mathematical formula indexing unit configured to index the combined data.

Abstract: The present disclosure relates to an apparatus and method for diagnosing a learning ability. The apparatus for diagnosing learning ability includes a receiving unit configured to receive from a terminal chapter-related information or problem-related information which is desirably diagnosed by a learner, and a semantic information generator configured to generate, responsive to each piece of problem information included in the chapter-related information or problem-related information, semantic information with structural information of the problem information, the problem information having subject-specific problem information distinguished from the semantic information.