On average, LingoTM converts 15% of fuzzy matches into full matches. This means faster translations and higher profits. The resulting translations are more accurate and more time-efficient and cost less to produce. Formatting and leverage of translation memory are both enhanced: LingoTM has the ability to detect gaps in the existing TM segments and process new segments for translation before matching them against the normalised Translation Memory.

Red more at http://transenter.com/lingotm/

Tags: LingoTM, SDL Studio, memoQ