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Generative AI in the Movie Industry: Augmenting Creative Output, Reshaping Storytelling and Content Production

Generative AI in the Movie Industry: Augmenting Creative Output, Reshaping Storytelling and Content Production | Language Tech Market News | Scoop.it

Example: It all starts with a movie script. Once a script is written, it’s first deconstructed in a process called script-breakdowns, whereby NLP trained on specific data sets extracts all of the details pertinent to film producers, such as props and shooting locations. All in all, a grueling process that typically takes several weeks is cut down to a few minutes with 90% human-level accuracy.

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Languages & The Media Conference in Berlin, Oct. 2018

Languages & The Media Conference in Berlin, Oct. 2018 | Language Tech Market News | Scoop.it
The theme of this year’s Languages and the Media conference, which will take place in the German capital on October 3 - 5 2018, is ‘The Fourth Industrial Revolution - Reshaping Languages in the Media.’

Conference organisers say they have been “astonished and delighted” by the response to a recent call for papers, in which respondents were asked to submit their proposals for presentations, talks and discussions on the effect of a so-called “fourth industrial revolution” on audiovisual media distribution and localisation.
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SoftBank Ventures Invests $23.5M in Singapore Media Localization Group

SoftBank Ventures Invests $23.5M in Singapore Media Localization Group | Language Tech Market News | Scoop.it

SoftBank Ventures, the early stage venture capital arm of Japan’s SoftBank Group, has invested $23.5 million in Singapore-based localization services provider IYUNO Media Group (dubbing, sub-titling, access services, media processing, and software licensing to studios, network groups, and over-the-top providers). This investment is designed to bring localization technologies to industry applications, including neural MT and voice synthesis foe audio localization and dubbing.

LT-Innovate's insight:

Part of the ongoing shift from boutique suppliers to large-scale tech--driven global video localisation services?

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Automating English Learning Lessons Using CNN Stories

Automating English Learning Lessons Using CNN Stories | Language Tech Market News | Scoop.it

WeSpeke and CNN announced a partnership for a new platform called en.news, a free website and mobile app that automates English lessons from existing editorial content on CNN.com.
“You’re not going to change your habit of consuming the news,” CEO Mr. Elchik said. “Everybody tends to get up and check the sports scores or headlines ... we’re allowing you to follow your habits and learn English at the same time.”

LT-Innovate's insight:

Not the first time learning apps have joined forces with existing "real" language producers such as broadcasters. But the emphasis can now be on your behaviour (checking your smartphone for news) rather than your learning targets.

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@Nimdzi's 2017 Global Voice-Over Market

@Nimdzi's 2017 Global Voice-Over Market | Language Tech Market News | Scoop.it
In this report we look closely at the global multilingual voice-over industry. Voice-over is a service that is coming into higher and higher demand and this is not expected to slow down. While many LSP’s offer voice-over services as part of their service offering, many of these do not themselves fully understand all of the complexities of providing this as a service. We can look to industry experts who are specializing in voice-over to shed some light on some of the common information out there. 
LT-Innovate's insight:

Now that Google's TTS is said to be so good (but in how many languages?), there could be a new technology moment in the voice-over market. 

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UK Newspapers Start Publishing First Human + Robot Articles

UK Newspapers Start Publishing First Human + Robot Articles | Language Tech Market News | Scoop.it

Newspapers across the UK have started publishing the first articles jointly written by robots and humans.
The Reporters and Data Robots (RADAR) initiative by the Press Association and Urbs Media, which is funded by Google’s Digital News Initiative, has created software that inserts localised statistics into stories written by human reporters.
The articles are then offered to the editors of 35 regional newspapers for consideration. The pilot, which began at the end of November, has so far resulted in stories published in 20 publications.

LT-Innovate's insight:

More like data-driven article completion.

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BBC to Partner with UK Academics on Media Data Science Research

The partnership aims to collaborate with media and technology organisations from across the UK, Europe and internationally on a range of projects. These will focus on the following four areas, all combining anonymised BBC data with cutting-edge algorithms and analytics.

Understanding audiences: Use data to better understand what audiences want from the BBC, why they want it, and what impact these programmes or services have on them.
Understanding content: Explore what machine learning can teach the BBC about its programmes and services, and what it stands to gain from it.
Curation and personalisation: Create a more personal BBC, designing tools and algorithms to help programme makers with editorial and commissioning decisions.
Content of the future: Design future audience experiences, based on BBC R&D’s object-based broadcasting concept, and new forms of data journalism.

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A Euro Debut For Automated Closed-Captioning Tool

A Euro Debut For Automated Closed-Captioning Tool | Language Tech Market News | Scoop.it

The enCaption4 automated closed-captioning tool will be showcased by ENCO at IBC2018.  It marks the European debut of the engine for enCaption4, which ENCO says “takes real-time accuracy to unprecedented new levels, along with workflow efficiencies that range from NDI compatibility to captioning for live and on-demand streams.”

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The Newsroom Story Tech Stack at the BBC

The Newsroom Story Tech Stack at the BBC | Language Tech Market News | Scoop.it

CTO at the BBC in the UL: “The BBC gets a massive amount of content in, but how do you make sense of it all? Journalists are great at telling stories, but sometimes they are not so good at entering the metadata. If we can use things that look at objects, do speech to text, and facial and voice recognitions, that means the journalist can plug into that and get a wider view of the content within the BBC,.  Equally, we can add that into what we provide to audiences.”

LT-Innovate's insight:

Brief but useful panorama of how the news comes together over the BBC pipeline. Critical step: automating metadata tagging to make it all come together. So AI looks at the footage and listens to the radiostreams, & adds in the metadata to help the journalist select the news from it all.

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World’s First Robot TV Anchor to Start in April

World’s First Robot TV Anchor to Start in April | Language Tech Market News | Scoop.it

The world’s first robot TV anchor is set to make her debut in April, according to a report by Nicholas Muhoro for Sanvada. Her name is Erica and she is modeled to be 23 years old. Hiroshi Ishiguro, the director of the Intelligent Robotics Laboratory at Osaka University in Japan, created her. It can process sound from its source, the report states, and it can process interaction with others. Erica can even track human movement. As freaky as that sounds, her arms and legs don’t work, according to the report.

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Lang Tech Opportunities in Media Technology in 2018

Lang Tech Opportunities in Media Technology in 2018 | Language Tech Market News | Scoop.it

“Imagine: automatic recovery of playout and distribution failures based upon AI, using huge sets of historical data to identify the solution that is fastest and most likely to succeed, and a conversational interface to inform real people of what action is being taken; Automated content review and compliance, not just of technical aspects but legal too; Access service production, driven by improvements in voice recognition but also systems that understand context, identifying not just what is being said but what is being seen; And intelligent selection of contribution and distribution paths based on an innate understanding of content quality, value, risk and cost.

LT-Innovate's insight:

This is how a CTO in UK TV channel sees the immediate future.

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Big Issue: Why Big Tech Firms are Extending their Power into Media Content

A major shift is taking place in global media. Until recently, tech corporations were mainly involved in distribution rather than production. But now, instead of simply delivering TV shows, music and films onto our devices and screens, major firms are sinking huge amounts of money into the content itself.
LT-Innovate's insight:

Useful ummary article on recent power plays in content and what this will mean

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The Future of News is Humans Talking to Machines

The Future of News is Humans Talking to Machines | Language Tech Market News | Scoop.it
Talking to machines, rather than typing on them, isn’t some temporary gimmick. Humans talking to machines — and eventually, machines talking to each other — represents the next major shift in our news information ecosystem. Voice is the next big threat for journalism.
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