In　this　article,　a　partially　linear　errors-in-variables　model　is　considered,　and　empirical　log-likelihood　ratio　statistic　for　the　unknown　parameter　in　the　model　is　suggested.　It　is　proved　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　of　the　parameter.　A　simulation　study　indicates　that,　in　terms　of　coverage　probabilities　and　average　lengths　of　the　confidence　intervals,　the　proposed　method　performs　better　than　the　least-squares　method.