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Archive by tag: Artificial intelligenceReturn

Small AI Is Beautiful – Lots of Data Complements Buckets of Money

A reporter at a major business magazine recently asked CSA Research, “Which of the mega-tech companies won the AI war? Which of them will likely prevail in the battle over the next 10 years?” Our answer was that their users were the real victors – and those users typically run apps from Amazon, Google, and Microsoft. But we broaden the AI discussion beyond Amazon and Microsoft to language technology developers data and machine learning to eliminate unnecessary labor and operations.
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When DNA Includes AI, ML, and MT

An extremely popular gift for the holiday season is the family history DNA testing kit. Vendors such as MyHeritage and AncestryDNA advertise millions of users, increasing sales, and ever-improving analyses. No doubt, this week many people are eagerly awaiting the results of a test-tube full of saliva; wanting to confirm their expected heritage or to discover ancient roots – and expecting to have an absolute, definitive, and correct analysis of their ancestry. But it’s a bit like expecting a ma...
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Why Buy CAT Tools When NMT Rules?

Every day, nearly three quintillion bytes of digitized data come into being. This daily wave of new content supports interactions and transactions across the entire spectrum of human and machine activity – and localizing it is essential for many international business, governmental, and humanitarian activities. There is no sign of this daily growth in content volume slowing down – and with it comes gigantic projects to transform and translate it for other purposes and markets.
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The Multilingual Conversation Challenge, Part 1: Technology

Chatbots, machine-authored text, and automated information retrieval and summarization are increasingly important to global businesses seeking to interact more efficiently with customers and meet their needs. Recent developments in this area have been spectacular and AI-driven intelligent agents (chatbots and virtual digital assistants, such as Siri, Cortana, and Alexa) are among the most visible success cases for machine-generated content. Enterprises look to these applications as ways to reduc...
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Artificial Languages and the Dream of Universal Knowledge

What do Barsoomian, Esperanto, Klingon, Ku, Na’vi, and Tenctonese have in common? They’re all languages created for sci-fi films, except for Esperanto, whose developer, Ludwig Zamenhof, sought to create a universal means of communication. They all represent a human desire to explore or undo the effects of Babel. Although they seem to be a thoroughly modern project, they are actually part of a scholarly project that has been underway since at least the Middle Ages. This research spawned a whole...
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Plan B for LSPs Requires Digital Transformation

Pundits predict that AI and its neural machine translation (NMT) spawn will obsolete an entire industry and put hundreds of thousands of people out of work. That could happen – but only if we postulate a future where the language sector stands by and does nothing. Inaction will result in the wholesale annihilation of many providers, but CSA Research has observed enough tech-enabled LSPs where it’s not business as usual to be more optimistic.
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Platform Providers Target the Language Industry

Did you know that companies have access to subtitling in real-time or that riders can access in-app translation to enable their ride-hailing-service drivers to find them on the left corner of the intersection, rather than on the right? If not, check out what Amazon Web Services presented at the most recent LocWorld in Lisbon, Portugal. Platform providers such as Alibaba, Amazon, Baidu, Facebook, Google, and Microsoft continue pouring money and people-hours into harnessing artificial intelligence...
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Are AI Deployments All They Are Cracked Up to Be?

Great content drives experience and commerce. Enterprises constantly ratchet up the amount they need, while global companies demand ever more in additional languages to offer effective customer experiences in other markets. That means language service providers have to localize more content faster than ever before. Human-centric processes can’t keep pace, so the push is on for more automation. But CSA Research finds that adoption rates for the language technologies that could help are lagging a...
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Future-Proof Your Global Content Strategy with The Language Services Market Study

CSA Research’s 15th annual survey of the language services and technology market demonstrates that new capabilities to analyze and manipulate big data in local markets will continue to push advances and new applications within AI and the machine learning that it drives. Content will continue to morph as it becomes more conversation-centric to support more and more speech-enabled products and services.
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LSP CEOs Discuss Common Challenges

CEOs in every kind of company often observe that they have the loneliest job. Shared experiences with people who work for them are limited because of internal politics and because they must deal with issues that no one else in their organizations face. CEOs periodically meet with their boards of directors or management, but those sessions often reinforce the singular position that the CEO occupies. In esoteric sectors like language services, CEOs must manage an array of process, technology, and ...
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