6. The method as set forth in claim 5 , further comprising: for each sequence of the plurality of sequences: determining whether the sequence exists in the corpus at the predetermined minimum frequency; determining whether a portion of the sequence exists in the segment; and editing the sequence in the data stream when the segment satisfies the predetermined condition, the sequence exists in the corpus at the predetermined minimum frequency, and the portion of the sequence exists in the segment.
6. The method as set forth in claim 5 , further comprising: for each sequence of the plurality of sequences: determining whether the sequence exists in the corpus at the predetermined minimum frequency; determining whether a portion of the sequence exists in the segment; and editing the sequence in the data stream when the segment satisfies the predetermined condition, the sequence exists in the corpus at the predetermined minimum frequency, and the portion of the sequence exists in the segment. 7. The method as set forth in claim 6 , wherein, when two of the plurality of sequences exist in the corpus at the predetermined minimum frequency, the method further comprises: determining whether the two of the plurality of sequences are separated in the data stream by less than one of a threshold number of words and a threshold length of time; combining the two of the plurality of sequences and separating words that separate the two of the plurality of sequences to define a combined sequence when the two of the plurality of sequences are separated by less than the one of the threshold number of words and the threshold length of time; determining whether a portion of the combined sequence exists in the segment; and editing the combined sequence in the data stream when the segment satisfies the predetermined condition and the combined sequence exists in the segment.