It　remains　to　be　a　difficult　issue　to　convert　Chinese　language　into　Chinese　sign　language,　which　makes　it　hard　to　implement　an　obstacle　free　Chinese　sign　language　information　service　under　pervasive　environment.　This　paper　presents　an　improved　algorithm　of　forward　maximum　match　approach　(MM)　and　backward　maximum　match　approach　(FMM),　by　taking　the　characteristics　of　Chinese　sign　language　into　consideration.　Besides,　a　method　to　reorganize　the　Chinese　sign　language　dictionary　is　presented.　This　paper　also　proposes　a　novel　strategy　of　disambiguation　based　on　the　statistical　information　of　the　context　and　the　mutual　information.　The　experiment　results　indicate　that　the　accuracy　and　the　efficiency　of　word　segmentation　can　improve　significantly　compared　to　conventional　algorithms.