With the MT Hub for Localization, you select the best-fit machine translation provider for your language pair, saving up to 70% in post-editing costs.
Expand the capabilities of Google Translate, DeepL, ModernMT, and other popular MT engines. You can even use those not supported by your TMS.
Back your choice of provider for specific language pair with reliable data. Use 16 presets or create custom configurations.
Take MT quality to the next level – maintain brand voice consistency and tone of voice, use profanity filters and many more features.
Access all integrations through a single dashboard and user-friendly interface. Switch between MT providers while maintaining your settings across different TMS platforms.
* Data from the analysis made in Q1, 2022
Access ALL MT engines
Unlock the MT ecosystem
Enterprise-level configuration
Access ALL MT engines
Unlock the MT ecosystem
Enterprise-level configuration
At the XTMLive 2022 conference last week in Silicon Valley, Carrie Fischer (Manager of Globalization Services, Subway) was joined by Mark Hjerpe (Head of Revenue, Intento) and Rory Sampair (Solutions Architect, XTM) to discuss the clear, measurable returns delivered by machine translation. The panelists addressed (among others) the question most people have when approaching MT: is it possible to save a bunch of money and time while still maintaining quality? After Carrie’s first year using Intento’s best-fit MT solutions, the answer was a resounding yes, as outlined below.
Last week, Intento Co-founder and CEO joined the GALA 2022: San Diego program to share his approach to analyzing post-editing efforts across enterprise localization activities. Keep reading for all the insights from the seminar, including the elements of a healthy localization and MTPE (machine translation post-editing) program, guidelines for diagnostics and analysis, source quality analysis, and recovery options.
At GALA San Diego attendees had the opportunity to hear from Pavel Efimkov, an MT expert from Intento, on the technical checks and fine-tunings necessary so you can deploy effective translation solutions. Keep reading for insights on MT adoption, maintenance, planning, and more.