AI Learns the Art of Smooth Talking

Last week, we looked at how research on a multilingual knowledge base at Google could be forging the beginnings of truly multilingual AI, marking one of the more interesting recent technological developments for the localization industry. Now, days later, new reports on a study at Facebook AI Research appears to signal even more compelling developments in NLP (natural language processing) than systems that can cross-reference world idioms. Challenging criticisms that NLP agents tend to be flat approximations of human speakers, it appears […]

Has AI Become Multilingual? How New Advances Could Be Pushing Past Language-specific Information Retrieval

When you enter a piece of text in Google Translate using the ‘Detect language’ feature, an algorithm able to recognize the belonging of specific words and patterns to various world languages selects one of many linguistic frameworks at its disposal, then begins the more linear natural language processing (NLP) task of translating your content into the target language. As magical as that is, it is easy enough to recognize that Google Translate […]

Ungaming the System: A Look at the Coming Communication Challenges of Smarter Language AI

For everyone keeping up with our posts on the latest developments in artificial intelligence, two major themes in how AI is impacting communications are likely already familiar points of interest: how it is changing industries that need communication solutions, and how it is changing communications themselves. On the one hand, the profound changes AI technology is bringing to both new and existing products and services in the […]

Could Regulatory Submissions Be Coming to the Tech World?

A look at how advancing technology is generating new communication needs for consumer protection If you search online for information about regulatory documents, Google will likely return you a list of results about required submissions from across the life sciences sector, whether or not your search terms name any part of the industry. It is […]

Disruptive So Far: A Look Back at Neural Machine Translation in the Age of Natural Language Processing

With news this week that Google has improved some of the key linguistic functionalities of its search engine’s machine learning algorithms – including an AI spell check improvement that Google’s head of search considers more important by itself than the previous five years’ progress – it is an interesting moment in the brief history of […]

Microsoft’s GPT-3 Exclusive: A Window to the Mainstream Future of Natural Language Processing

When bombarded almost weekly with reports of the latest hair-raising machine learning or facial recognition capabilities, it is easy to tune out the rising clamor over advancing AI while a human-obsolete world fails to materialize in our midst. Even so, headlines this week like Microsoft Gets Exclusive Access to AI Deemed ‘Too Dangerous To Release’ […]

A Glimpse of the Things to Come: Enterprise AI Empowers Global COVID-19 Research

For those of us following developments in the IT and technology sectors, the COVID-19 outbreak has largely been the story of an unprecedented digital transformation as organizations navigate the challenges of operating remotely. Just as interesting, though, is what the outbreak is revealing about innovative trends already underway before it started, particularly as big data […]

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CSOFT’s CEO Shunee Yee at TAUS 2019: Past, Present, & Future of Translation & Localization

October 16-18, Singapore, TAUS 2019, Mandarin Orchard Hotel Deep in the heart of the historic Mandarin Orchard Hotel in Singapore, leaders of localization and translation companies met to discuss nothing less than the very future of the industry. Unbeknownst to guests and travelers, the hotel’s conference room hosts TAUS 2019, an event where industry giants […]

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The Road Ahead for Localization – 2018 and beyond

The industry is projected to continue an upwards trend in growth as more companies utilize localization strategies to upgrade their multinational operations, with many allocating line item budgets specifically for localization. As consumers move away from traditional forms of media consumption, the industry will see a greater demand for video and voice localization for a range of devices and platforms, and embrace newer methods to improve agility and adaptability. Humans will still remain relevant since AI-backed advancements in machine translation technology, however remarkable, will not spell doom for LSPs and translators; instead, their adoption will popularize transcreation services and specialized content skills.