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Free to Choose: Unbabel introduces real-time artificial intelligence tool for selecting the best Machine Translation software

The Dilemma with Machine Translation Selection

As Machine Translation (MT) has made remarkable strides over the years, the market is now more competitive than ever, with many machine translation providers and solutions available. The challenge, however, lies in pinpointing which MT model or solution can generate the best translation across multiple channels — this selection is crucial to maximizing translation quality and minimizing errors.

Generic benchmarks provide some level of assistance when comparing different MTs, but they have limitations when it comes to evaluating choices based on specific factors such as the domain, language pairs, and a business’s unique translation data. Moreover, running advanced offline tests on small content samples doesn’t yield reliable data, as the results don’t effectively carry over to real-world business use cases.

In a landscape where MT models are equally competitive,
making an informed decision is like finding a needle in a haystack.

Introducing Unbabel’s Instant AI-Driven Intelligent MT Selection

Unbabel tackles this challenge head-on with its groundbreaking Instant AI-driven Intelligent MT selection capability. Powered by Unbabel’s Quality Estimation (QE) technology, this feature empowers users to translate using multiple MT models available on the Unbabel Platform. They can also check the quality of each model and see the common mistakes they make.

The tool is launched with several third-party models (Deepl, Google, Microsoft, ChatGPT), as well as Unbabel domain models when appropriate, and more models will be added.

Aside from the document level comparison, QE also allows us to intelligently choose the best translation for each segment. This eliminates the need to stick with a single model; instead, users can select a model which picks the best translation per segment from a set of providers.

Unbabel’s MT selection technology is a game-changer, enabling users to automatically receive the optimal MT-generated translation for any source text, substantially cutting down translation errors. This, in turn, streamlines any human post-editing phases, making them faster and more cost-effective.

In an ever-evolving global market, Unbabel is set to reshape the translation landscape, once again, by offering unmatched quality, efficiency, and, above all, empowering customers with the freedom to make, objectively, the best choice for their businesses.

Ready to find the best quality MT that’s right for you? Try our MT comparison tool now.

The post Free to Choose: Unbabel introduces real-time artificial intelligence tool for selecting the best Machine Translation software appeared first on Unbabel.

About the Author

João Graça is a co-founder and Chief Technology Officer at Unbabel. Previously, he worked with INESC-ID developing research in natural language processing (NLP) and went on to do his PostDoc in NLP at the University of Pennsylvania. João developed a new statistical learning method that allowed for the insertion of declarative knowledge during learning, unlocking previously impossible-to-tackle problems. He is also one of the co-founders of the Lisbon Machine Learning Summer School (LxMLS).

Profile Photo of João Graça