Our Analysts' Insights

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...

Microsoft decided to up its public relations game around machine translation. A recent blog post trumpeted that the company’s neural machine translation (NMT) system has reached parity with human translators for Chinese-English news text.

Automation has come a long way, leading now to its most advanced and buzzworthy state, artificial intelligence. AI refers to technologies that learn from training data and experience to perform tasks that would otherwise require human intelligence. When applied to a PM’s job, AI enables “lights-out” project management, in which software handles the project from quoting to invoicing without the need for human interaction. Over the last few years, CSA Research has observed a growing number of L...

New technology developments are stirring up the language industry, but the buzz mostly centers around neural machine translation (NMT) and artificial intelligence (AI). Something else is afoot that most observers are not discussing: the shift from monolithic to distributed systems. Microservices addressed via REST APIs promise to increase agility by allowing swappable engines. During a recent CSA Research Colloquium at LocWorld, we put this new solution architecture in the context of enterprise ...

Finding, qualifying, and testing translators and interpreters represents a sizable investment for most language service providers (LSPs). That challenge is even greater for the fast-growing ones, any venturing into new markets, and those starting new service lines. For most LSPs, that means adding or enhancing the vendor management function to locate, vet, and retain linguists and other specialists. Providers typically introduce vendor manager positions by Stage 2 of the LSP Metrix, CSA Research...

Two years ago, CSA Research determined that the language sector faced a perfect storm as industry players incrementally improved efficiency, innovated services and processes built on newer technology and streamlined practices, and confronted disruptive intrinsic and external changes that were transforming the market.

In the last year, CSA Research has been covering a new paradigm for translator productivity, one we call “augmented translation.” The term comes from “augmented reality”: applications that overlay images of the world with relevant information.

Last week Luxembourg-based AMPLEXOR (#9 on CSA Research's 2016 list of largest LSPs) acquired U.S.-based Sajan (#30) for US$28.5 million. This amounts to US$5.83 per share for publicly-traded Sajan, a 46% premium over the current share price. Because Sajan will go private, it has substantial disclosure and shareholder protection requirements under the U.S. Security and Exchange Commission's Rule 13e-3 Rule. That regulation also limits what it or AMPLEXOR can say now about the deal beyond...

Language services today stand on the cusp of a disruptive transformation that will redefine how professional linguists work. This shift will come from the availability of ubiquitous artificial intelligence (AI) that extends their reach and capability and makes them far more efficient than they could otherwise be.

In our recent research on quoting practices at LSPs, we found two recurring themes: 1) the increasing price pressure caused by clients driving the race to the bottom (see our recent blog post on that topic); and 2) the drastic reduction in timelines to conduct projects. In this post, we’ll explore this second issue.