Tag: ModelFront
The Week in Review: Language Industry News June 2-8
Across enterprise AI, government procurement, nonprofit infrastructure, and indigenous language preservation, this week shows an industry building systems that will not only last, but enable these multilingual systems to flourish.
ModelFront Announces Outcome-Based Pricing
To maintain full transparency within the outcome-based pricing, ModelFront provides a savings dashboard for customers to monitor precisely how many words are being automated in their workflow.
The Week in Review: Language Industry News February 24 – March 2
this week’s stories reveal how the future of language work is not just more automated, but more human‑centered, more accessible, and more interconnected.
ModelFront Announces General Availability of Automatic Post-Editing
APE generates these mechanical and repetitive edits, to grow what is automated, while still keeping human quality. Human intervention is still triggered for those segments that require human intelligence, research or decisions.
The Week in Review: Language Industry News October 7 – 12
This week’s language industry news for October 7 - 12 reveals a sector in motion—strategic, creative, and increasingly public-facing, reminding us that the future of language is collaborative, cross-disciplinary, and unapologetically strategic.
ModelFront Named “Tech of the Week” by Nimdzi
Independent research organization Nimdzi Insights has recognized ModelFront as Tech of the Week, for its progress on AI for scaling human-quality translation in the real world.
The Ten Best Language Technology Products of the Year
The year’s best products span various use cases; some focus on speed, others on adaptability. Advocating for a pricing model that reflects the level of human involvement, the context, and the intended use of a translation, the authors classify these tools using a three-tiered system depending on whether the output is raw AI, creative, or highly technical.
Optimizing Machine Translation Post-Editing Workflows with memoQ’s AIQE Functionality
First introduced earlier this year, AIQE provides quality estimation scores for texts that are translated through MT engines in memoQ TMS. These quality estimates are made available via integrations with ModelFront and TAUS.