5. The computer system of claim 1 , wherein the determining a subject, an object, a verb, an action, and a numeral from the typed dependency comprises a transient repository containing a mapping of a subject or an object to a variable name.
1. A computer system for solving and answering an arithmetic or algebraic problem through a computer-based question-answer system in real-time, using natural language processing (NLP) and an online dictionary, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: creating and maintaining the online dictionary, wherein creating and maintaining the online dictionary comprises: determining a relationship between at least one verb and at least one math operator; mapping the at least one verb to at least one math operator based on the determined relationship; storing the mapped at least one verb to the at least one math operator in the online dictionary; identifying an effect of the stored at least one math operator on a plurality of subjects; identifying an effect of the stored at least one math operator on a plurality of objects; correlating the identified effect of the stored at least one math operator to the plurality of subjects; correlating the identified effect of the at least one math operator to the plurality of objects; updating the online dictionary with the correlated identified effect of the at least one math operator to the plurality of subjects; and updating the online dictionary with the correlated identified effect of the at least one math operator to the plurality of objects; receiving, by a processor associated with a first computer, an input statement, wherein the input statement is a geometric word problem that includes a plurality of geometric figures, angles, perimeters, and areas described by a plurality of words, entered by a user in natural language without a mathematical operator symbol, via a user interface associated with a computing system; determining whether each sentence within a plurality of sentences associated with the input statement is a well-formed sentence from a mathematical perspective, wherein determining whether each sentence within the plurality of sentences associated with the input statement is a well-formed sentence from a mathematical perspective comprises: performing part-of-speech (POS) tagging and parsing or parse tree generation on each sentence within the plurality of sentences; and determining a typed dependency for each sentence within in the plurality of sentences and if each sentence within the plurality of sentences requires anaphora resolution; converting each statement into a well-formed sentence based on the determining whether each sentence within a plurality of sentences associated with the input statement is a well-formed sentence from a mathematical perspective, wherein converting each statement into a well-formed sentence comprises: performing part-of-speech (POS) tagging and parsing or parse tree generation on each sentence within the plurality of sentences; and determining if a plurality of user input is required to resolve a plurality of ambiguity associated with at least one sentence within the plurality of sentences; in response to determining the plurality of user input is required to resolve the plurality of ambiguity, prompting the user for the plurality of input to resolve the plurality of ambiguity; and in response to receiving the plurality of user input, performing structural disambiguation for each sentence within the plurality of sentences; converting each well-formed sentence into a mathematical equation to form a set of equations, wherein forming the set of equations comprises receiving the plurality of input entered by the user and storing each mathematical equation in an online repository, wherein the converting the well-formed sentence into the mathematical equation and solving the set of equations comprises communicating online with a second computer to access the online dictionary containing a mapping between a plurality of verbs, a plurality of action words, and a plurality of mathematical operators, wherein the dictionary is created, updated, and maintained separately on a server, and wherein the dictionary specifies for each verb within the plurality of verbs or each action word within the plurality of action words, the effect of the plurality of at least one mathematical operator within the plurality of mathematical operators on an operand of a sentence and wherein the converting the well-formed sentence into the mathematical equation and solving the set of equations further comprises determining the effect of the plurality of at least one mathematical operator within the plurality of mathematical operators on the operand of the sentence based on electronically reading the dictionary and determining for each verb within the plurality of verbs or each action word within the plurality of action words, the effect of the plurality of the at least one mathematical operator within the plurality of mathematical operators on the operand of the sentence and performing a plurality of online-computing techniques, wherein the plurality of online computing techniques comprises performing part-of-speech (POS) tagging, performing parsing or parse tree generation, determining a typed dependency, and determining a subject, an object, a verb, an action, and a numeral from the typed dependency; retrieving the formed set of equations from the online repository; solving the retrieved set of equations to compute a mathematical result; and narrating the mathematical result in natural language, wherein the mathematical result is narrated as an automatic interactive response or a solution from the computer system in real-time and comprises converting the mathematical result into at least one natural language sentence.