Case Study: Infor achieves faster, higher-quality multilingual translation with memoQ

Infor - Customer Case Study

Infor, a global enterprise software company, needed a reliable machine translation solution to improve translation quality, keep turnaround times competitive, and expand language coverage for its multilingual products. Its existing statistical machine translation struggled with unrelated language pairs, produced disfluent output, and had terminology issues when training data was limited.

memoQ implemented globalese by memoQ as Infor’s preferred machine translation service, using neural machine translation and in-domain adaptation to improve fluency, consistency, and structural correctness across formats like DITA XML and JSON. The solution helped Infor confidently translate into new languages such as Arabic, Polish, Russian, Simplified Chinese, and Japanese, while supporting in-house deployment for better security and more efficient workflows.

Infor

John Musters

Technical Translation Support Specialist