The Associated Press is ready to hire another batch of robots to write the manuscript.

As one of the world's largest news agencies, the Associated Press partners include thousands of newspapers, radio and television stations from around the world. This also means that the same news event, the Associated Press should provide different text formats according to different output media.

In sports news reports, when the Associated Press sports journalists reported on a game, they would provide eight different text versions of the same news event. In addition to writing a paper version of the news, the reporter also provides a news summary and a manuscript for television or radio coverage. The trouble is that in sports events, there are usually multiple participants, and the audio drafts need to be reported separately according to the performance of each participating team.

According to statistics, the Associated Press reporters spend 800 hours a week to convert such paper reports into audio manuscripts, including radio and television.

“This is a nightmare,” said Jim Kenny, vice president of strategy and corporate development at the Associated Press.

In order to save the reporters from the nightmare, the Associated Press thought of robots again. Recently, they are developing a technology that uses artificial intelligence to automatically convert paper-based text into audio text.

In the past few months, the Associated Press has partnered with Matters Ventures to develop a model for automatically converting text.

First, the reporter will extract the format that needs to be standardized in the text conversion process.

This set of models is used to regulate the format of paper news that needs to be included when it is converted into audio news (such as shorter stories, more concise sentences, rounded numbers, etc.). Next, the Associated Press will work with machine learning companies to focus on sports reporting and then develop a set of automated conversion algorithms for all content.

At present, the Associated Press has not tested the model. Jim Kenny expects to have more than half a year of development time, so we can't see how the robot performs.

However, using robots to write a manuscript has long been nothing new. Two years ago, the Associated Press collaborated with Word Smith, an automated writing software, to write a large number of financial reports on numbers.

Since then, most of the robots have taken care of things that don't require much brains, such as the sports news that the Washington Post later reported with robots.

This time is the same. Francesco Marconi, Manager of the Strategic Development Department of the Associated Press, views the technology:

“Machine learning can identify how people adjust the content of the report. Of course, the rules must be set in the machine first. But in order to get the report that the editorial department is satisfied, there is still a gap between machine learning and manual operation.”

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