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We present a method for creating a comparable text corpus from two document collections in different languages. The collections can be very different in origin: in this study we build a comparable corpus from articles by a Swedish news agency and a U.S. newspaper. The keys with best resolution power were extracted from the documents of one collection, the source collection, by using the relative average term frequency (RATF) value. The keys were translated into the language of the otherdoi:10.1145/1198296.1198300 fatcat:ajomowrcl5agphti32eltqcmfy