Computer system with second translator for vehicle parts

1. A computerized method comprising:

selecting, using a processor, one or more candidate word strings from data indicative of an insurance company name, wherein the selecting includes:

determining whether the data includes two or more words with a same usage number,

selecting a first word in the data, wherein the first word has an earliest location in the data of the two or more words with the same usage number,

selecting the one or more candidate word strings based on the first word; and

associating, using the processor, an insurance company identifier with the data indicative of an insurance company name, said associating being responsive to the selecting one or more candidate word strings.

2. The method of claim 1 , further comprising processing the data through one or more processing steps to generate processed data comprising one or more processed words, wherein the processing comprises one or more of:

identifying a hyphenated word and replacing the hyphenated word in the data indicative of an insurance company name with a predetermined word string;

identifying a state abbreviation word, identifying a position of the state abbreviation word in the data indicative of an insurance company name, and associating an identifier with the data indicative of the position; and

identifying a punctuation mark in the data indicative of an insurance company name, inserting a space before the punctuation mark, and inserting a space after the punctuation mark.

3. The method of claim 1 , further comprising processing the data through one or more processing steps to generate processed data comprising one or more processed words, wherein the processing comprises:

determining whether each word of the data is spelled correctly based on a predetermined list of words; and

if a word is spelled incorrectly, associating the word with an identifier indicative of the word being spelled incorrectly; or

if a word is spelled correctly, associating the word with an identifier indicative of the word being spelled correctly.

4. The method of claim 3 , further comprising:

associating an identifier with each word of the data indicative of a word usage for the word;

determining whether each word is a location word; and

if a word is a location word, associating the word with an identifier indicative of the word being a location word.

5. The method of claim 3 , further comprising generating processed data based on one or more of a number of words in the data indicative of an insurance company name, a number of words associated with an identifier indicative of the word being spelled correctly.

6. The method of claim 1 , wherein selecting one or more candidate word strings based on the one or more processed words further includes identifying the data indicative of an insurance company name comprises a definitive word pattern.

7. The method of claim 1 , wherein selecting one or more candidate word strings based on the one or more processed words further includes:

calculating a number of words in the data indicative of an insurance company name; and

associating an identifier indicative of the number of words with the data.

8. The method of claim 1 , further comprising associating, using the processor, matching information with each of the one or more candidate word strings, wherein the matching information associated with each of the one or more candidate word strings comprises one or more of a number of words in the data indicative of an insurance company name, a sequence of words in the data, an identifier indicative of whether a location word exists in the data, and a location of a location word in the data.

9. The method of claim 1 , further comprising generating, using the processor, analysis information for each of the one or more candidate word strings based on the associated matching information, wherein the generating analysis information for each of the one or more candidate word strings based on the associated matching information comprises:

determining whether a location word is in the data, the location word being indicative of an insurance company name; and

if there is a location word, for each location word:

determining a position of the location word in the data indicative of an insurance company name; and

associating the word with an identifier indicative of the position.

10. The method of claim 9 , further comprising calculating a weighted word match count based on a word usage number for the data indicative of an insurance company name, the one or more candidate word strings, or both.

11. An apparatus comprising:

an auditing system configured to receive data indicative of an insurance company name, the data comprising one or more words, the auditing system having at least one processor and a storage device coupled to the processor, the storage device containing software instructions including instructions for an insurance company name translator adapted to be executed by the processor,

wherein the insurance company name translator is in communication with the auditing system and is configured to perform operations including:

processing the data through one or more processing steps to generate processed data comprising one or more processed words;

selecting one or more candidate word strings based on the one or more processed words; associate matching information with each of the one or more candidate word strings;

generating analysis information for each of the one or more candidate word strings based on the associated matching information; and

associating an insurance company identifier with received data based on the analysis information and one or more matching rules, wherein the associating includes associating the insurance company identifier based on a word usage number and a number of candidate word string matches.

12. A computer program product, tangibly embodied in a nontransitory computer readable storage medium, the computer program product including instructions being operable to cause a data processing apparatus to perform operations including:

receiving data indicative of an insurance company name, the data comprising one or more words;

processing the data through one or more processing steps to generate processed data comprising one or more processed words;

selecting one or more candidate word strings based on the one or more processed words;

associating matching information with each of the one or more candidate word strings;

generating analysis information for each of the one or more candidate word strings based on the associated matching information; and

associating an insurance company identifier with received data based on the analysis information and one or more matching rules, wherein the associating includes associating the insurance company identifier based on a word usage number and a number of candidate word string matches.

13. An apparatus comprising:

means for receiving data indicative of an insurance company name, the data comprising one or more words; and

means for:

processing the data through one or more processing steps to generate processed data comprising one or more processed words;

selecting one or more candidate word strings based on the one or more processed words;

associating matching information with each of the one or more candidate word strings;

generating analysis information for each of the one or more candidate word strings based on the associated matching information; and

associating an insurance company identifier with received data based on the analysis information and one or more matching rules, wherein the associating includes associating the insurance company identifier based on a word usage number and a number of candidate word string matches.