artificial intelligence (AI)

Next-Generation MT

As neural machine translation (MT) has matured, software developers and users alike are looking for new innovative ways to produce better machine translations. For all the broken promises of “human quality” — except in the easiest of texts — MT has always lacked the ability for users to easily improve and orchestrate the quality they receive. It’s pretty much always been a “you get what you get” experience for most MT users.

Unbabel Releases New Open-Source Large Language Model, The First LLM Fine Tuned to Predict Translation Quality

The state-of-the-art large language model (LLM) leads to increasingly accurate translations, supporting global expansion while saving time and money for businesses  SAN FRANCISCO – September...

Vidby is helping content creators reach global audiences one video at a time. Here’s how.

In an age where content is king, the challenge of reaching international audiences has never been more critical. The folks at vidby are making things...

Pocketalk Pursues $1 Billion IPO Amid Crowded Field and Questions on Mainstream Appeal

Pocketalk, creator of Japan's top-selling voice translator, plans to list on Nasdaq within two years with an ambitious $1 billion valuation. However, industry experts...

Voiseed Announces the Appointment of Dr. Páraic Sheridan to Board of Directors

— Voiseed, an innovative start-up specializing in expressive synthetic voices for Games & Media localization, today announced the appointment of Dr. Páraic Sheridan...

Total Event Globalization An E2E language experience

Viviana Bernabe and Aki Hayashi decode the future of global events, emphasizing the vital role of comprehensive language strategies. Dive into innovations, from AI in live translations to the essence of human interpreting. Discover how to not just host, but truly globalize your event for a worldwide resonance.

Best practices for securing enterprise machine translation

Organizations today find themselves dealing with an ever-growing volume, velocity, and variety of multilingual content and data. Digital transformation, including the recent rapid advancements in artificial intelligence (AI), has expanded the use cases for approaching multilingual content, often leaving enterprises and government organizations without the professional expertise required to navigate the international implications.

Localizing the issue of generative AI

With all the daily media attention given to artificial intelligence (AI), it’s easy to think of it as a “recent discovery,” and to a...

Acolad goes full AI: Frédéric Queudret becomes Chief AI and Technology Officer

The language and content leader expands CTO title to fully embrace AI  The move coincides with the launch of group-wide internal AI Ambassador...