Slator launches the 2018 Slator Language Service Provider Index (LSPI). The index comprises the largest language service providers worldwide with aggregate 2017 revenue of USD 4.7 billion derived from services such as translation, localization, language technology, interpretation, subtitling, dubbing, and related services. Continue reading
Who’s up, who’s down? Listed Language Service Providers continue to do well in 2018 even though the upward trend has slowed somewhat compared to the previous two to three years. Continue reading
Appen delivers yet another stellar year with strong revenue and profit growth, lower expense ratio, and improved operating margins. Recent acquisitions appear to work well. Strong performance lifts Appen’s market cap to above AUD 1bn Continue reading
Shares in Sydney-based Appen continue to rally and are up more than 600% since 2015 IPO. Strong 1H 2017 earnings mostly driven by booming unit which trains machine learning products. Continue reading
Investing in language service providers has been a winning proposition of late. On average, a group of nine listed LSPs beat the performance of the global stock market. Continue reading
Language services and data provider Appen continues to ride the machine learning and artificial intelligence boom, clocking up revenue growth of 34% versus 2016. While shares are up more than 300% since IPO, they are down slightly in 2017. Continue reading
Mixed quarter for Lionbridge, as new wins from clients in regulated industries, manufacturing, and government are offset by a decline in enterprise IT. CEO sees new opportunities in over-the-phone interpretation and crowdsourcing for NLP and speech. Continue reading
Shares in Australia’s Appen have shot up nearly 500% since the IPO in January 2015 boosting the company’s market capitalization to around USD 220m. Driving the bonanza are the personal digital assistants and big techs hunger for data. Continue reading
US defense agency DARPA wants to boldly go where no private machine translation vendor has gone before, invests dozens of millions of dollars into translation capabilities for “low resource” languages Continue reading
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