Our Analysts' Insights

Do you have low click-through rates on your marketing emails? Do prospects fail to reach out after you’ve sent them what you felt was a compelling call for action? You could attribute the lack of response to a variety of problems, but one commonly identified by our analyst team in interactions with language service providers is that many LSPs lack a targeted approach. A little planning could significantly improve the results of marketing and sales efforts.

CSA Research’s recent survey-based examinations of machine translation deployment at language service providers, enterprises, government agencies, and among freelancers revealed an ever-widening engagement with the technology. Although it didn’t surprise us, we also found widespread skepticism of claims that MT has reached human parity with numerous calls in open-ended survey comments for “truth in advertising.” Just as significantly, we saw widespread desire for MT to be more suitable for t...

CSA Research recently released our list of the 100 largest LSPs and langtech providers, along with eight regional lists that add more than 80 firms. The rankings are based on our annual survey of more than 450 companies around the globe with revenue and business data supplied by the companies themselves and validated by their executives. Here’s a map of CSA Research’s 10 largest LSPs for 2021 – follow the lines to see the journeys of these companies over 17 years to their current positions. B...

Recent advances in machine translation (MT) have been truly astounding. Even if claims that the technology has reached parity with human translators are premature and an artifact of particular methods of evaluation, it is clear that the results are much more useful than they were even a few years ago. Now researchers are pursing approaches similar to MT to facilitate communication with animals. In April, National Geographic described Project CETI, an attempt to use the same fundamental technolog...

It is no secret that machine translation (MT) has gone from a relatively niche solution to seeming ubiquity in just a few short years. A forthcoming report from CSA Research on MT use at language services providers shows a 51% increase in adoption since 2019, with over two-thirds of LSPs now using it openly. Similarly, cloud TMS developers reported that 2020 was the year when the majority of segments that they process involved MT. To help develop a comprehensive view of the technology’s role in...

In the first episode of an iconic sci-fi television series, a NASA test pilot was seriously injured in the crash of an experimental aircraft. The emergency medical team replaced three of his four limbs and one eye with nuclear-powered bionic implants, while a voiceover intoned, “We can rebuild him. We have the technology. We can make him better than he was. Better...stronger...faster." The resulting six-million-dollar-man worked as a secret agent, using his now superhuman powers to battle ...

As we look back at the annus horribilis that was 2020, what are some things we can learn and take forward to improve 2021 and come back stronger than ever? In this post, I summarize some of the lessons CSA Research has learned from our conversations with professionals working in enterprise localization departments, at LSPs, or as freelance linguists.

In late 2015 most developers still treated Neural Machine Translation (NMT) as a future technology that would come someday, but by the middle of 2016 several developers had released functional neural systems that seemed to outperform even the best statistical MT (SMT) engines. Since that point, momentum has shifted decisively in favor of NMT because it delivered better fluency in its output and seemed to promise the end of incomprehensible MT output. Eventually, this rate of stellar progress slo...

TELUS International announced that it would buy Lionbridge’s artificial intelligence business unit in a deal worth US$935 million that is expected to close by December 31st. Let’s first explain what Lionbridge AI does, review the deal, analyze what it means to the language services and technology sector, and show what it represents to investors.

A recent examination of how computing power has changed over time calculated how much it would cost today to rent all of the computer capacity that existed at various points in the past. Up until 1968 all the worlds computers’ combined capabilities fell short of what a single server could do in 2018. It was not until 1974 that the then-current capacity (roughly equal to 0.43 teraflops) would exceed £100/month to lease in today’s costs. This exponential drop in the real cost of computing power ...