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

juillet 7, 2023

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.

About the Author

Profile Photo of João Graça
João Graça

João Graça est le cofondateur, Directeur de la technologieet le génie informatique de Unbabel. Né au Portugal, João est titulaire d'un doctorat en informatique dans l'une des universités techniques les plus réputées de Lisbonne, l'Instituto Superior Técnico de Lisboa. Durant ses études, il a publié un certain nombre d'articles bien accueillis sur l'apprentissage automatique, la recherche computationnelle et la linguistique computationnelle, qui constituent le fondement du moteur de traduction automatique à Unbabel. Après l'obtention de son diplôme, João a travaillé avec l'INESC-ID, développant des recherches sur le traitement du langage naturel (PNL) et a ensuite fait son postdoc à PNL à l'Université de Pennsylvanie. João a reçu une bourse d'études Marie Curie, Welcome II (2011), qu'il a refusée au profit de l'entrepreneuriat. Il a travaillé avec Vasco Pedro, aujourd'hui PDG de Unbabel, sur le développement d'algorithmes d'apprentissage du langage et d'outils d'apprentissage automatique, et a occupé divers postes de chercheur avant de cofonder Unbabel en 2013.

DeutschFrançaisNLdanskSvenskaEnglish