. ▁ ▁Some ▁translation ▁memory ▁systems ▁search ▁for ▁ 1 0 0 % ▁matches ▁only , ▁that ▁is ▁to ▁say ▁that ▁they ▁can ▁only ▁retrieve ▁segments ▁of ▁text ▁that ▁match ▁entries ▁in ▁the ▁database ▁exactly , ▁while ▁others ▁employ ▁f uz zy ▁matching ▁algorithms ▁to ▁retrieve ▁similar ▁segments , ▁which ▁are ▁presented ▁to ▁the ▁transl ator ▁with ▁differences ▁flag ged . ▁It ▁is ▁important ▁to ▁note ▁that ▁typical ▁translation ▁memory ▁systems ▁only ▁search ▁for ▁text ▁in ▁the ▁source ▁segment . ▁ ▁The ▁flex ibility ▁and ▁robust ness ▁of ▁the ▁matching ▁algorithm ▁largely ▁determine ▁the ▁performance ▁of ▁the ▁translation ▁memory , ▁although ▁for ▁some ▁applications ▁the ▁recall ▁rate ▁of ▁exact ▁matches ▁can ▁be ▁high ▁enough ▁to ▁justify ▁the ▁ 1 0 0 % - match ▁approach . ▁ ▁Seg ments ▁where ▁no ▁match ▁is ▁found ▁will ▁have ▁to ▁be ▁translated ▁by ▁the ▁transl ator ▁manually . ▁These ▁newly ▁translated ▁segments ▁are ▁stored ▁in ▁the ▁database ▁where ▁they ▁can ▁be ▁used ▁for ▁future ▁transl ations ▁as ▁well ▁as ▁repet itions ▁of ▁that ▁segment ▁in ▁the ▁current ▁text . ▁ ▁Trans lation ▁mem ories ▁work ▁best ▁on ▁texts ▁which ▁are ▁highly ▁repet itive , ▁such ▁as ▁technical ▁manual s . ▁They ▁are ▁also ▁helpful ▁for ▁transl ating ▁increment al ▁changes ▁in ▁a ▁previously ▁translated ▁document , ▁corresponding , ▁for ▁example , ▁to ▁minor ▁changes ▁in ▁a ▁new ▁version ▁of ▁a ▁user ▁manual . ▁Trad itionally , ▁translation ▁mem ories ▁have ▁not ▁been ▁considered ▁appropriate ▁for ▁literary ▁or ▁cre ative ▁texts , ▁for ▁the ▁simple ▁reason ▁that