11. Software for identifying related questions comprising computer readable instructions embodied on non-transitory computer-readable media, wherein the computer readable instructions are configured, when executed by a data processing apparatus, to: identify, using at least one hardware processor, a plurality of different previously-submitted search queries; filter, using at least one evaluation file, the plurality of different previously-submitted search queries to remove one or more specified words from the plurality of different previously-submitted search queries to generate a plurality of filtered search queries, wherein the at least one evaluation file includes at least one of instructions or parameters for generating at least one canonical search query form of the plurality of different previously-submitted search queries; modify, using the at least one evaluation file, remaining words in the plurality of filtered search queries to generate a plurality of modified search queries; determine, as search queries that map to a particular canonical search query form, a subset of the plurality of different previously-submitted search queries that are used to generate, as a result of filtering the plurality of different previously-submitted search queries and modifying the plurality of filtered search queries using the at least one evaluation file; rank the search queries that map to the particular canonical search query form based, at least in part, on a frequency of submission of each different previously-submitted search query that maps to the particular canonical search query form; and identify, based on the ranking, a particular one of the different previously-submitted search queries in the ranked search queries that map to the particular canonical search query form as a representative search query of the search queries that map to the particular canonical search query form.
11. Software for identifying related questions comprising computer readable instructions embodied on non-transitory computer-readable media, wherein the computer readable instructions are configured, when executed by a data processing apparatus, to: identify, using at least one hardware processor, a plurality of different previously-submitted search queries; filter, using at least one evaluation file, the plurality of different previously-submitted search queries to remove one or more specified words from the plurality of different previously-submitted search queries to generate a plurality of filtered search queries, wherein the at least one evaluation file includes at least one of instructions or parameters for generating at least one canonical search query form of the plurality of different previously-submitted search queries; modify, using the at least one evaluation file, remaining words in the plurality of filtered search queries to generate a plurality of modified search queries; determine, as search queries that map to a particular canonical search query form, a subset of the plurality of different previously-submitted search queries that are used to generate, as a result of filtering the plurality of different previously-submitted search queries and modifying the plurality of filtered search queries using the at least one evaluation file; rank the search queries that map to the particular canonical search query form based, at least in part, on a frequency of submission of each different previously-submitted search query that maps to the particular canonical search query form; and identify, based on the ranking, a particular one of the different previously-submitted search queries in the ranked search queries that map to the particular canonical search query form as a representative search query of the search queries that map to the particular canonical search query form. 18. The software of claim 11 , wherein the computer readable instructions are further configured, when executed by the data processing apparatus, to conjugate verbs remaining in the plurality of different previously-submitted search queries to a specified tense prior to determining the search queries that map to the particular canonical search query form.