In contrast, EBMT systems have overcome this constraint by storing subsentential translational correspondences in addition to the sententially aligned pairs from which they are derived.
where a TM system can only propose a number of close-scoring matches in its database for the translator to adapt into the final translation, an EBMT system can produce translations itself by automatically combining chunks from different translation examples stored in its memories.