Enterprises aspire to a global customer experience, but often the individuals who are responsible for preparing the content to support this goal have little ability to assess its effectiveness when it is deployed. In many cases, localization groups think they are doing well because they manage the process and get good results from their vendors, yet their customers discover a far different reality, with mixed language (or unlocalized) content and graphics, links that go nowhere, and a generally ...

Since CSA Research first identified the advent of Human-Enriched MT in 2011 and Augmented Translation in 2016, machine translation (MT) has seen every accelerating adoption in the language industry. In this presentation, Dr. Arle Lommel discusses Responsive Machine Translation, the next advance in functionality that will enable MT to adapt responsively to an every-increasing array of environments with far greater quality and applicability than it has today. This advance will require substantial ...

The rise of ever-improving neural machine translation and the improvement of other translation technologies is dramatically changing the working environment of professional linguists. Increasingly, translators and interpreters are required to use machine translation and other technologies, but many linguists find themselves pushed to the end of the line in terms of their ability to effect meaningful change or control. By contrast, an emerging approach known as “Augmented Translation” is puttin...

Uncertainty tied to the pandemic produced a roller-coaster of economic changes that undermined even the most reliable statistical forecasting models. For the first time since 2005, CSA Research did not release our 2020 Global Market Sizing numbers when we released the ranking of the largest LSPs in the world. We knew that it would be irresponsible to forecast market trends in the waves of severe uncertainty. Prior to sizing the 2020 market and forecast, we understood that we needed reliable da...

Are you looking to implement AI into your CX process? Or have you started implementation only to realize the challenges? Despite the very real promise of cognitive and conversational agents to improve the customer experience and promote engagement between brands and their customers, the reality is that these advantages today are available to a relatively small percentage of the world’s population. Even large, tech-savvy enterprises struggle to find the data needed to develop AI-driven services ...

Countries and states are in a state of flux right now. Some are in the process of easing COVID-19-related restrictions while others are in the process of reintroducing them. Continued disruption to economic activity and planning has created challenging conditions for LSPs, particularly for interpreting-centric companies. As of July 2020, Chinese LSPs have had the most experience with both the pandemic and its aftermath. In this webinar, CSA Research will discuss what worked for language companie...

In the face of the global COVID-19 pandemic, many enterprises are cutting budgets across the board, threatening the hard-won gains of their localization teams and risking compounding a downturn by cutting off international clients. In this webinar, CSA Research analysts Alison Toon, Arle Lommel, and Rebecca Ray will discuss strategies to defend localization budgets, push back against ill-conceived plans to slash language support, and promote an expanded role of localization during these challeng...

This presentation will discuss how these trends are affecting both content creation and localization processes. It will also address the ways in which changing technology will enable these approaches to succeed across language boundaries.

As enterprises develop language strategies, one of their top questions is how much individual languages are worth to them. CSA Research has recently developed a proprietary economic model for determining the answer to this question. In this webinar, Arle Lommel will explain how the model works and what it can tell organizations about their language portfolio and market potential. The model allows language strategists to make concrete predictions about revenue based on the demographics of their c...