5. The method of claim 1, wherein said detecting step further comprises the steps of: successively looking backward from a current word to a prior word, beginning where said prior word is said current word, determining for each step in said succession whether a comparative topic metric is greater than said first threshold ratio, said metric including some likelihood measure that a word string from said current word to said prior word will be found in a context of a topic in said battery, not including a neutral topic; if said determination is YES, declaring said prior word an onset point of a new topic different from a current topic; if said determination is NO, moving said prior word back one word and repeating said succession until said prior word is a regeneration point; if all said successive determinations are less than one, declaring said current word a new regeneration point, otherwise advancing said current word by one word and repeating said successive determinations.
5. The method of claim 1, wherein said detecting step further comprises the steps of: successively looking backward from a current word to a prior word, beginning where said prior word is said current word, determining for each step in said succession whether a comparative topic metric is greater than said first threshold ratio, said metric including some likelihood measure that a word string from said current word to said prior word will be found in a context of a topic in said battery, not including a neutral topic; if said determination is YES, declaring said prior word an onset point of a new topic different from a current topic; if said determination is NO, moving said prior word back one word and repeating said succession until said prior word is a regeneration point; if all said successive determinations are less than one, declaring said current word a new regeneration point, otherwise advancing said current word by one word and repeating said successive determinations. 7. The method of claim 5, wherein said comparative topic metric is ##EQU14## where T.sub.j is said current topic in said battery, where k is the length of said word string, where said current word is m+1 (at i=0), where said prior word is m-k+2 (at i=k-l), where P.sup.T.sbsp.j.sup.).sub.m-i+1 is said likelihood measure for the single word located i words prior to said current word, and where ##EQU15##