7. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: parse content into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept; for each conceptual unit in the one or more conceptual units, identify a term in the conceptual unit that has a synonym to be utilized during natural language processing of the content; determine a first measure of relatedness of the term to at least one other term in the conceptual unit; determine a second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit; determine whether or not to utilize the synonym when performing natural language processing on the conceptual unit based on the first measure of relatedness and the second measure of relatedness; and perform natural language processing on the content based on results of determining whether or not to utilize the synonym, wherein the first measure of relatedness is calculated as the sum, from 1 to N, where N is a number of remaining words in the conceptual unit, of the quantity 1/N*(f(Wn, ORIG)), where f( ) is a semantic distance function, W is the set of remaining words in the conceptual unit, and ORIG is the term, and wherein the second measure of relatedness is calculated as the sum, from 1 to N, of the quantity alpha*1/N*(f(Wn, SYN)), where alpha is a constant, and SYN is the synonym, wherein the computer readable program further causes the computing device to determine whether or not to utilize the synonym when performing natural language processing on the conceptual unit at least by: comparing the first measure of relatedness to the second measure of relatedness using the following relationship: ∑ n = 1 N ⁢ 1 N ⁢ f ⁡ ( W n , ORIG ) ≤ ∑ n = 1 N ⁢ α ⁢ 1 N ⁢ f ⁡ ( W n , SYN ) ⁢ { pass fail } ; and determining to utilize the synonym when performing natural language processing on the conceptual unit in response to the relationship being satisfied.
7. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: parse content into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept; for each conceptual unit in the one or more conceptual units, identify a term in the conceptual unit that has a synonym to be utilized during natural language processing of the content; determine a first measure of relatedness of the term to at least one other term in the conceptual unit; determine a second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit; determine whether or not to utilize the synonym when performing natural language processing on the conceptual unit based on the first measure of relatedness and the second measure of relatedness; and perform natural language processing on the content based on results of determining whether or not to utilize the synonym, wherein the first measure of relatedness is calculated as the sum, from 1 to N, where N is a number of remaining words in the conceptual unit, of the quantity 1/N*(f(Wn, ORIG)), where f( ) is a semantic distance function, W is the set of remaining words in the conceptual unit, and ORIG is the term, and wherein the second measure of relatedness is calculated as the sum, from 1 to N, of the quantity alpha*1/N*(f(Wn, SYN)), where alpha is a constant, and SYN is the synonym, wherein the computer readable program further causes the computing device to determine whether or not to utilize the synonym when performing natural language processing on the conceptual unit at least by: comparing the first measure of relatedness to the second measure of relatedness using the following relationship: ∑ n = 1 N ⁢ 1 N ⁢ f ⁡ ( W n , ORIG ) ≤ ∑ n = 1 N ⁢ α ⁢ 1 N ⁢ f ⁡ ( W n , SYN ) ⁢ { pass fail } ; and determining to utilize the synonym when performing natural language processing on the conceptual unit in response to the relationship being satisfied. 8. The computer program product of claim 7 , wherein the content is a question input to a question and answer mechanism of the data processing system that implements the natural language processing on the question.