Our Analysts' Insights

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 ...

In our early-in-the-pandemic call for action by company leaders, CSA Research recommended that companies “learn from this experience and get ready now for when the crisis ends.” We echoed that advice in our report on the future of language services. Over the last few weeks we’ve been briefed by several LSPs and translation technology vendors about how they have used the slowdown to push new initiatives and projects and, as we suggested, develop new products. They said that the pandemic’s dis...

A reporter at a major business magazine recently asked CSA Research, “Which of the mega-tech companies won the AI war? Which of them will likely prevail in the battle over the next 10 years?” Our answer was that their users were the real victors – and those users typically run apps from Amazon, Google, and Microsoft. But we broaden the AI discussion beyond Amazon and Microsoft to language technology developers data and machine learning to eliminate unnecessary labor and operations.

An extremely popular gift for the holiday season is the family history DNA testing kit. Vendors such as MyHeritage and AncestryDNA advertise millions of users, increasing sales, and ever-improving analyses. No doubt, this week many people are eagerly awaiting the results of a test-tube full of saliva; wanting to confirm their expected heritage or to discover ancient roots – and expecting to have an absolute, definitive, and correct analysis of their ancestry. But it’s a bit like expecting a ma...

Every day, nearly three quintillion bytes of digitized data come into being. This daily wave of new content supports interactions and transactions across the entire spectrum of human and machine activity – and localizing it is essential for many international business, governmental, and humanitarian activities. There is no sign of this daily growth in content volume slowing down – and with it comes gigantic projects to transform and translate it for other purposes and markets.

Chatbots, machine-authored text, and automated information retrieval and summarization are increasingly important to global businesses seeking to interact more efficiently with customers and meet their needs. Recent developments in this area have been spectacular and AI-driven intelligent agents (chatbots and virtual digital assistants, such as Siri, Cortana, and Alexa) are among the most visible success cases for machine-generated content. Enterprises look to these applications as ways to reduc...

What do Barsoomian, Esperanto, Klingon, Ku, Na’vi, and Tenctonese have in common? They’re all languages created for sci-fi films, except for Esperanto, whose developer, Ludwig Zamenhof, sought to create a universal means of communication. They all represent a human desire to explore or undo the effects of Babel. Although they seem to be a thoroughly modern project, they are actually part of a scholarly project that has been underway since at least the Middle Ages. This research spawned a whole...

Pundits predict that AI and its neural machine translation (NMT) spawn will obsolete an entire industry and put hundreds of thousands of people out of work. That could happen – but only if we postulate a future where the language sector stands by and does nothing. Inaction will result in the wholesale annihilation of many providers, but CSA Research has observed enough tech-enabled LSPs where it’s not business as usual to be more optimistic.