寫稿機器人上崗 1秒完成一篇春運報道

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        寫稿機器人上崗 1秒完成一篇春運報道

        Guangzhou-based Southern Metropolis Daily published its first story written by a robot.

        總部位于廣州的《南方都市報》近日發表了第一篇由機器人撰寫的稿件。

        The article was 300 characters long and focused on the Spring Festival travel rush.

        這篇稿件篇幅為300字,并聚焦于春運潮問題。

        Its author, Xiao Nan, took only a second to finish writing the piece and is able to write both short stories and longer reports, according to Wan Xiaojun, a professor at Peking University who leads the team studying and developing such robots.

        據帶領團隊對這種機器人進行研究和開發的北京大學教授萬小軍介紹,稿件的作者小南僅用1秒鐘便完成了,且小南既能寫短稿也能寫長篇報道。

        "When compared with the staff reporters, Xiao Nan has a stronger data analysis capacity and is quicker at writing stories," he said.

        萬小軍表示:“相較人類記者,小南的數據分析能力更強,寫稿速度更快?!?/p>

        "But it does not mean intelligent robots will soon be able to completely replace reporters."

        “但這并不意味著智能機器人將在短時間內完全取代記者。”

        At present, robots are unable to conduct face-to-face interviews, cannot respond intuitively with follow-up questions and don't have the ability to select the news angle from an interview or conversation, Wan said.

        萬小軍稱,目前,機器人還無法進行面對面的采訪,不能憑直覺追問后續問題,也不具備根據采訪或對話內容選取資訊報道角度的能力。

        "But robots will be able to act as a supplement, helping newspapers and related media, as well as editors and reporters," he said.

        他說道:“但是機器人可以作為一種補充,幫助到報紙和相關媒體,以及編輯和記者?!?/p>

        Guangzhou-based Southern Metropolis Daily published its first story written by a robot.

        總部位于廣州的《南方都市報》近日發表了第一篇由機器人撰寫的稿件。

        The article was 300 characters long and focused on the Spring Festival travel rush.

        這篇稿件篇幅為300字,并聚焦于春運潮問題。

        Its author, Xiao Nan, took only a second to finish writing the piece and is able to write both short stories and longer reports, according to Wan Xiaojun, a professor at Peking University who leads the team studying and developing such robots.

        據帶領團隊對這種機器人進行研究和開發的北京大學教授萬小軍介紹,稿件的作者小南僅用1秒鐘便完成了,且小南既能寫短稿也能寫長篇報道。

        "When compared with the staff reporters, Xiao Nan has a stronger data analysis capacity and is quicker at writing stories," he said.

        萬小軍表示:“相較人類記者,小南的數據分析能力更強,寫稿速度更快?!?/p>

        "But it does not mean intelligent robots will soon be able to completely replace reporters."

        “但這并不意味著智能機器人將在短時間內完全取代記者。”

        At present, robots are unable to conduct face-to-face interviews, cannot respond intuitively with follow-up questions and don't have the ability to select the news angle from an interview or conversation, Wan said.

        萬小軍稱,目前,機器人還無法進行面對面的采訪,不能憑直覺追問后續問題,也不具備根據采訪或對話內容選取資訊報道角度的能力。

        "But robots will be able to act as a supplement, helping newspapers and related media, as well as editors and reporters," he said.

        他說道:“但是機器人可以作為一種補充,幫助到報紙和相關媒體,以及編輯和記者?!?/p>

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