Our Analysts' Insights

For many years now, localization managers at enterprises have known how they should create content tailored for particular markets, even if they haven't actually done it. Instead, the model that evolved in the 1990s invested in optimizing existing content for translation.

Based on press coverage of recent advances in machine translation (MT), it may seem as if all the major developments happen in the United States. However, since the 1980s, much of the basic research in this area has either happened in European projects or been headed by alumni of groups in the region such as the German Research Center for Artificial Intelligence (DFKI), University of Aachen, and the University of Edinburgh.

The Indian e-commerce market continues to grow as the government there encourages its expansion and works to ensure that the country’s local languages are integrated into its Digital India and Make in India programs. Unlike its neighbor to the east – China – the Indian playing field is open to international companies, as the ongoing competition between Amazon and Flipkart and Uber and Ola Cabs demonstrates. Apple, Amazon, and Google have announced billions of dollars in additional investment ...

It was the memo heard around the world, the one that led Google’s CEO to cut short his vacation to deal with a firestorm of criticism, and the one that reignited the perennial and fiery debate about sexism, women’s role in the tech industry, and political correctness.

Buyers of language services crave the ability to measure translation quality in an objective way, get easy-to-digest reports on how it is tracking over time, and be able to drill down as needed for process improvement. However, quality control remains a mostly human-driven process – even when supported by QA technology – because humans have to sift through the reports these tools produce. What if there was another way to approach quality?

Today CSA Research released the first in a series of reports that examine gender and family issues in the language industry. Based on our survey of 2,195 professionals who work with language services, this free report provides insights into the role gender and family plays in the field. We developed this pro bono research with the support of GALA and Women and Localization in order to understand how language workers compare to other industries. The report shines light on topics ranging from pay ...

Technology is crucial for language service providers (LSPs), not just for growth but even for survival in a rapidly changing market landscape. Earlier this year, we reviewed technology survey answers for 728 providers and interviewed a cross-section of 30 translation and interpreting companies in 12 countries. Using this combination of quantitative and qualitative data, CSA Research wanted to see how aligning the LSP Metrix™ maturity model and the Tech-Savvy typology – originally published in ...

For several years, the field of quality checking tools has been largely stagnant, with incremental updates to established tools. Recently, TAUS’ Dynamic Quality Framework (DQF) and the EU’s Multidimensional Quality Metrics (MQM) have set the stage for new developments in quality assessment methods thanks to their new methods and push for standardization. In this blog, we’ll review three new market entrants that are hoping to shake up this area.

CSOFT (#22 on our global list of the 100 largest LSPs) has banked on mobile being a driving force behind language needs. In December 2015, the company released Stepes (pronounced /'steps/), a human-powered mobile translation app designed to mobilize professional translators and Uberize the world’s bilingual population in the process. Last year, the company broadened the offering to support on-demand social media and image translation, again harnessing the power of the crowd. However, 2017 w...

Imagine yourself in a café in Paris or on a beach in Cancún, running into some gorgeous human specimen you just can’t help but approach. You walk up to the person, offer them a hearing device, and point for them to put it in their ear while you pop one in yourself. Then you launch an app on your smartphone and start communicating via the help of machine interpreting, hoping the app will accurately translate your best pick-up line.