7. The method according to claim 4 , wherein a subset of candidate word segmentation units with a highest average score of candidate word segmentation units is selected as the word segmentation approach for the segment.
4. The method according to claim 1 , wherein the method for scoring the candidate word segmentation units is frequency-based, and for the part of the search results, a ratio of the number of occurrences of the scored candidate word segmentation units to the total number of occurrences of all the candidate segmentation units is taken as the score for each of the scored candidate word segmentation units.