Localization Today

The translation industry will still be home to many jobs after singularity is achieved, but Adam Wooten thinks those jobs are likely to look different. In this piece for MultiLingual, he proposes a few thoughts of his own on how the singularity will affect the language services industry and change the role of human translators.

When we reach the singularity in machine translation, there’s a good chance it will change the way we teach our future language professionals — MultiLingual sought out expert insights from language educators all across the world to learn a bit more about how they anticipate technological innovation will impact higher education.

With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and market presence is another story. So, who are the teams that are able to compete, stand tall, and beat the odds in the market of MT? Here are some of our top picks.

After two decades in operation, GALA’s become an undoubtedly prominent organization in our field. Here, Cameron Rasmusson takes a few steps back with GALA leadership to trace back the organization’s history and learn a bit more about what’s in store for GALA’s future.

The debate around human parity in machine translation — whether or not we’ll achieve it in our lifetimes and its potential impact on the language services industry — is hotly contested. Here, MultiLingual’s Andrew Warner dives into the history of this topic and gains insight from language industry experts to see how close we are to reaching human parity in MT and what it could mean for human translators.

The year 2022 was filled with impressive human-quality claims in the machine-learning field with large language models and general pre-trained transformers, but experts have raised their voices about some serious issues.

If you’ve been following MultiLingual for a while now, you may remember our “Weekly Shorts” series from a while back, where we rounded up a week’s worth of language and language industry news every Friday. Though we ended the series in the summer of 2021, we’re pleased to bring back a revamped version today: “The Week in Review.”

It’s a big week for LSP Phrase, with the company announcing the most massive product release in its history, and company CEO Georg Ell is excited to talk about it.

On Tuesday, the United Nations Educational, Scientific and Cultural Organization (UNESCO) celebrated International Mother Language Day with a series of panels on multilingual education.

This same technology that enabled neural machine translation to improve machine translation is now finding its way into seemingly unrelated products (think ChatGPT or Dall·E). The translation “problem” has not been solved with the latest advancements in NMT, but there are lessons to be learned in other professions from how the professional translation community has been affected by and adapted to the widespread use of NMT both by translators and by end users.