Localization Today

If you’ve been trying to wrap your head around the concepts of blockchain, Web3.0, or the metaverse, look no further. Nimdzi’s Nadežda Jakubková has you covered with this in-depth report in the Innovator’s Journal on these pressing topics and how they could impact the language industry in the near 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.  

After reading the features on LangOps in MultiLingual’s 2022 issue, Kirti Vashee’s still not quite sold on the concept, noting that it overcomplicates things a bit. Here, Vashee presents his thoughts on LangOps and attempts to develop a better, more simplistic approach to talking about it.

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.

While Nimdzi is still working hard to compile this year’s edition of the Nimdzi 100 — the ranking of the largest language service providers (LSPs) in the world — they can already confirm the top six positions on our ranking.

How many language service providers (LSPs) are there in the world? In some ways, this question is similar to asking how many grains of sand there are (though maybe not quite as speculative as that).