Recognizing　Textual　Entailment　(RTE)　task　is　defined　as　recognizing,　given　two　text　fragments　T(Text)　and　H　(Hypothesis),　whether　the　meaning　of　H　can　be　inferred　from　T.　This　paper　discusses　multiple　techniques　to　implement　the　task,　including　lexical　matching,　semantic　matching　and　syntactic　matching　methods.　Word　overlap　is　the　basic　technology　and　the　part-of-speech　is　applied　for　the　improvement　of　lexical　matching　approach.　WordNet　resource　is　exploited　for　the　semantic　matching.　Especially,　the　strict　matching　and　fuzzy　matching　of　dependency　relations　are　used　for　implementing　the　syntactic　matching　method.　Finally,　the　system　has　been　evaluated　on　the　data　set　of　RTE-3,　RTE-4　and　RTE-5.　We　also　explore　the　effect　of　different　techniques　on　system　performance.　The　best　accuracy　is　57.4%　for　3-way　task　and　60.2%　for　2-way　task.　Copyright　©　2011　Binary　Information　Press.