13. The method according to claim 11 , further including repeating the detecting, constructing-first-lattice(s), constructing-second-lattice(s), constructing-aggregate-lattice, and determining steps for each of a plurality of videos and respective textual queries, wherein the adjusting-parameters step includes forming a composite score from the discrimination scores determined for each of the videos and adjusting the one or more of the lexicon parameter(s) based on the composite score.
13. The method according to claim 11 , further including repeating the detecting, constructing-first-lattice(s), constructing-second-lattice(s), constructing-aggregate-lattice, and determining steps for each of a plurality of videos and respective textual queries, wherein the adjusting-parameters step includes forming a composite score from the discrimination scores determined for each of the videos and adjusting the one or more of the lexicon parameter(s) based on the composite score. 14. The method according to claim 13 , further including, for each of the plurality of videos: a) receiving at least one respective negative aggregate query that does not correspond to the respective video; and b) repeating the constructing-first-lattice(s), constructing-second-lattice(s), constructing-aggregate-lattice, and determining steps for each of the plurality of videos and respective negative aggregate queries to provide respective competition scores; c) wherein the adjusting step includes forming a composite competition score using the determined respective competition scores and further adjusting the one or more of the lexicon parameter(s) based on the determined composite competition score.