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Archive by tag: Artificial intelligenceReturn

Not Just Machine Translation: AI Makes Inroads in the Language Industry and Beyond

Neural machine translation has recently garnered the lion's share of attention for artificial intelligence (AI) in the language industry. Highly visible applications such as Google Translate and Microsoft Translator rank up there with self-driving cars in the public imagination. In addition, requirements for multilingual content are growing far more quickly than the number of human linguists, which positions NMT as a needed solution. We also identified a lot of interest in the potential fo...
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The Journey to Project Management Automation

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...
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Time for Commercial Software Vendors to Embrace Content and Agilize Workflows

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 ...
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LSP Vendor Management is Upping Its Game

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...
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Time for the C-Suite to Catch the Multilingual Content Train

It has taken social and mobile – plus the empowerment of consumers to influence the message – for content to finally grab the undistracted attention of executives. But they’re not only wrestling with content in its simplest forms controlled by employees. They must also take into account material created “in the wild” – outside of their organizations – where it morphs into assorted flavors through local languages, dialects, and cultures.
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Driver's Education: Connected Cars Pose New Localization Challenges

It wasn't new handsets or mobile services that garnered the most attention at the recent Mobile World Congress in Barcelona. Instead, it was automobiles: Intel's 5G-enabled autonomous car, Peugeot's Instinct concept vehicle, and flying car prototypes such as the AeroMobil. If any industry exemplifies disruptive change these days, it's the car industry.
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Neural MT Leaves the Lab for Beta and Third-Party Assessment

SYSTRAN announced the beta test of its Pure Neural Machine Translation (PNMT) software with 30 language pairs (18 with English, 12 with French), a dozen corporate clients in diverse industries, and online public access to its software. This beta program caps a year of industry and media attention to deep learning, artificial intelligence, and more recently neural MT (NMT). SYSTRAN announced its PNMT product in August with this October beta. Google revealed its single-pair NMT solution in late Se...
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FREME Services Power Vistatec Automated Content Enrichment

The digital universe grows by a massive amount of structured and unstructured content every day. This flood of data comes in a broad range of standardized and proprietary formats and languages for uncounted application needs around the planet. Much of this data never leaves the silo for which it was created, but business analysts and information scientists have long researched how it might be useful in other applications, markets, and languages. For example, tagging the topics or categories of d...
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