In　this　paper,　we　apply　empirical　likelihood　method　to　study　the　semi-parametric　varying-coefficient　partially　linear　errors-in-variables　models.　Empirical　log-likelihood　ratio　statistic　for　the　unknown　parameter　beta,　which　is　of　primary　interest,　is　suggested.　We　show　that　the　proposed　statistic　is　asymptotically　standard　chi-square　distribution　under　some　suitable　conditions,　and　hence　it　can　be　used　to　construct　the　confidence　region　for　the　parameter　beta.　Some　simulations　indicate　that,　in　terms　of　coverage　probabilities　and　average　lengths　of　the　confidence　intervals,　the　proposed　method　performs　better　than　the　least-squares　method.　We　also　give　the　maximum　empirical　likelihood　estimator　(MELE)　for　the　unknown　parameter　beta,　and　prove　the　MELE　is　asymptotically　normal　under　some　suitable　conditions.