1. A computer-implemented method for estimating the accuracy of a transcription of a voice recording, comprising: transcribing the voice recording into the transcription of the voice recording; receiving the transcription of the voice recording; providing a customer specific dictionary; providing a dictionary of common language words; determining a number of inaccurate words in the transcription; determining a number of accurate words in the transcription; determining a total number of words in the transcription; calculating an accuracy number by dividing the number of accurate words by the total number of words; assigning a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; retrieving, from a data structure, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assigning a confidence level to each axiom of the set of axioms based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight.
1. A computer-implemented method for estimating the accuracy of a transcription of a voice recording, comprising: transcribing the voice recording into the transcription of the voice recording; receiving the transcription of the voice recording; providing a customer specific dictionary; providing a dictionary of common language words; determining a number of inaccurate words in the transcription; determining a number of accurate words in the transcription; determining a total number of words in the transcription; calculating an accuracy number by dividing the number of accurate words by the total number of words; assigning a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; retrieving, from a data structure, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assigning a confidence level to each axiom of the set of axioms based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight. 3. The computer-implemented method of claim 1 , wherein the step of determining a number of inaccurate words comprises identifying the number of words not found in either the customer specific dictionary or the dictionary of common language words.