Terminology & Glossary Extraction for Localization

A manufacturer of gaming hardware that sells in 75 countries and generates annual revenue of more than $1 billion revenue struggled with manual translation services that were costly and slow. Even as it translated content into more than 15 languages, the manufacturer sought to strike the right tone: a mix of technical precision and marketing flair, expressed in a casual yet accurate style. It also insisted on terminology consistency across marketing materials for all its markets, according to a case study by Milengo, the translation agency the company engaged to improve results. Milengo introduced a tailored AI-powered machine translation workflow designed to balance quality, speed, and cost efficiency, while also creating databases of 300 industry-specific terms in 15 languages. The system cut costs by 57% compared to human-only translations, while keeping product introductions on schedule and ensuring brand consistency through AI-powered terminology management.

Petal & Pup, an Australian fashion retailer that sells on the Shopify ecommerce platform, attracted customers in New Zealand, the United Arab Emirates, and Canada. After the retailer localized its ecommerce store, personalizing website content to speak directly to customers in each region, international sales rose to 20% of total revenue, according to Shopify.

Spending on generative AI for language translation will grow from $700 million in 2023 to $4.45 billion in 2033, at a CAGR of 20.4%, according to a Market.US report that cites genAI’s ability to generate faster and more accurate translations than traditional methods.