Disambiguation　is　one　of　the　most　important　parts　of　segment　systems　in　Chinese.　A　Chinese　general-purpose　word　segmentation　(GPWS)　system　demands　higher　capacity　of　disambiguation　techniques　particularly,　because　it　has　functions　such　as　allowing　users　to　create　their　own　dictionaries　dynamically　and　employing　multiple　user＇s　dictionaries　to　word　segmentation.　Based　on　inspection　of　the　distributions　and　characteristics　of　ambiguity　fragments　(especially　overlapping　ambiguity　fragments)　in　large-scale　real　corpus,　an　improved　forward　maximum　match　algorithm　for　ambiguity　fragment　detection,　as　well　as　a　practical　＇rules　+　exceptions＇　disambiguation　strategy,　are　proposed　in　this　paper.　An　exhaustive　extraction　has　been　made　of　the　overlapping　ambiguity　sections　(about　2.4　million　occurrences)　from　a　People＇s　Daily　corpus　of　100　million　characters　(234　MB　approximately),　and　open-ended　experiments　on　the　above　strategy　randomly　were　carried　out,　which　achieved　accuracy　average　of　99%.