OpenAI Gains Traction as New Default for Machine Translation

Just a year after OpenAI’s November 2022 unveiling of ChatGPT, the company and its flagship product are used as shorthand for large language models and generative AI.

Beyond industry-specific discussions about the tech’s potential impact and politicians’ debates over the need for regulatory legislation, the poster child for generative AI may be on its way to mainstream acceptance as a provider of machine translation (MT). 

Starting November 30, 2023, users of customer communication platform Messagepoint’s content hub can translate text into more than 80 languages, using either DeepL or OpenAI’s services.

While DeepL is a natural choice as a category leader in machine translation, OpenAI is not only a newcomer, but also a generalist compared to models trained specifically to perform MT. If OpenAI’s translation integration indicates widespread confidence in the technology, could this be the start of a transition to generative AI as a standard, or even default, MT provider? 

Case in point: Toronto-headquartered Messagepoint serves healthcare, financial, and insurance companies, including clients such as Xerox and CitiBank. In a November 13, 2023 press release, the company announced new generative AI capabilities for its Intelligent Content Hub, under an Assisted Authoring tool.

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Messagepoint VP of AI & Data Science Atif Khan told Slator, “While DeepL has a long history in AI translation services, OpenAI provides an extended set of languages supported (more than 80) and takes advantage of contextual understanding that goes beyond the current DeepL implementation.”

In the press release, Founder and CEO Steve Biancaniello assured users that the platform’s “controlled environment” allows them to benefit from the speed and accuracy of AI translation without introducing risk. 

“These capabilities represent a massive opportunity for organizations to better serve vulnerable populations and those with limited English proficiency,” Biancaniello said, adding, “Leveraging AI to support translation can greatly accelerate processes, reducing the cost and time required.”