Our Analysts' Insights

In recent months, we have increasingly heard from enterprise localization groups that their executives are pushing for the adoption of neural machine translation (NMT), driven largely by a very successful public relations campaign from Google that has touted the very real improvements in NMT over the past two years. Unfortunately, some business leaders have seen media coverage and concluded that they no longer need language professionals and can simply replace translators with the “magic” of AI.

In January, the World Bank observed that, "for the first time since the global financial crisis, all major regions of the world are experiencing an uptick in economic growth." CSA Research's 14th annual study of the language services and technology market demonstrated that the language sector has benefited from that good fortune. It grew at 7.99% over the past year to reach a projected US$46.52 billion in revenue for 2018. Read about our survey and research process here.

It’s almost impossible to open one’s email or social media feed without skimming one or more messages entreating the reader to “follow the path to digital transformation” or to “recognize how artificial intelligence (AI) is changing digital transformation.” But how much attention should LSPs pay to what’s going on in this area? CSA Research recently launched an initiative to find out. In the meantime, here’s what our preliminary results show.

I have an interest in 19th-century sporting newspapers and would like to have them in digital form. Unfortunately, these newspapers used almost microscopic fonts, the type was often heavily worn, and their paper has degraded over time. Despite these problems, humans usually don’t have any trouble reading them, but optical character recognition (OCR) is another matter.

Moving content from one support knowledge base (KB) to another is hard enough in one language, let alone in two or more. In our recent interviews with 36 global firms about how they create and manage multilingual support content, KB migration elicited the most spirited discussions. Here are five pieces of advice from our research to improve the chances that your next migration initiative will go as smoothly as possible in one language or many.

Translation technology has reached an inflection point, swept up in the big trends affecting every industry: big data, cloud computing, and artificial intelligence (AI). Language platforms are being renovated or replaced as enterprise buyers and innovative language service providers seek to align their language systems with the rest of their technology stacks. Dated monolithic translation management systems (TMSes) are giving way to microservice- and cloud-based architectures, with machine learn...

Speech-enabled search allows people to access information much faster than they can through typing– particularly in languages such as Chinese, Hindi, and Japanese – and especially when fingers and eyes are occupied with driving or making equipment repairs.Customer expectations are already shifting as people take for granted the ability to give voice instructions to Alexa, Cortana, Siri, and their local equivalents Why shouldn’t they be able to do the same as they place product orders through ...

Intel founder and former CEO Andy Grove wrote that, “Measurement against a standard makes you think through WHY the results were what they were.” Business-savvy organizations live by this dictum. They monitor various datapoints and develop key performance indicators (KPIs) – assessable values that show whether a company is meeting its strategic business objectives.

In addition to weighty issues related to privacy, data security, and transparency, global content is what brought Facebook CEO Mark Zuckerberg face-to-face with 44 members of the U.S. Senate this week. At the heart of the discussion was how the company plans to police harmful material while at the same time avoiding censorship.

The question – since the earliest days of the computerized language industry – has been whether translation companies are so different than other service business that they can’t use generalized software. The argument was that generalized applications, such as FileMaker or Microsoft Word, with vastly more engineers, features, and user communities, would prove more useful in the end than would industry-specific applications and business platforms with small R&D teams and limited feature sets. ...