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    Artificial intelligence is attempting to write the next 'Game of Thrones' book(2)

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    2017-08-31 16:30China Daily Editor: Yao Lan ECNS App Download

    A recurrent neural network is a specific subclass, which works best when it comes to processing long sequences of data, such as lengthy text from five previous books.

    一個循環神經網絡是一個特定的子集,最擅長處理長的數據序列,比如《冰與火之歌》前5部冗長的文本.

    In theory, Thoutt's algorithm should be able to create a true sequel to Martin's existing work, based off things that have already happened in the novels.

    理論上,圖特的算法應該能基于書中已經出現的劇情創作出《冰與火之歌》真正的續集.

    But in practice, the writing is clumsy and, most of the time, nonsensical. And it also references characters that have already died.

    但實際上,這個算法的寫作能力還很低級,大部分內容都不知所云,還會提到已經死掉的角色.

    Still, some of the lines sound fairly prophetic:

    不過,有些臺詞還是有一定預言性的:

    "Arya saw Jon holding spears. Your grace," he said to an urgent maid, afraid. "The crow's eye would join you.

    他對一個焦急的女仆說,"陛下,艾莉亞看到雪諾拿著長矛.烏鴉的眼睛會跟著你."

    "A perfect model would take everything that has happened in the books into account and not write about characters being alive when they died two books ago," Thoutt told Motherboard.

    圖特告訴Motherboard:"完美的算法模型能把書中的所有劇情考慮在內,且不會再讓兩部以前去世的角色再次復活."

    "The reality, though, is that the model isn't good enough to do that. If the model were that good authors might be in trouble ... but it makes a lot of mistakes because the technology to train a perfect text generator that can remember complex plots over millions of words doesn't exist yet."

    "然而,實際上這個算法現在還不夠完善.如果它有那么完美的話,作家們可能就要丟飯碗了……完美的文字創作機器可以記住數百萬字的復雜劇情,現在的技術還不能訓練出這種功能,它會犯很多錯誤."

    One of the main limitations here is the fact that the books just don't contain enough data for an algorithm.

    最主要的局限之一是書中包含的數據對一個算法而言是不夠的.

    Although anyone who's read them will testify that they're pretty damn long, they actually represent quite a small data set for a neural network to learn from.

    雖然《冰與火之歌》的讀者都認為這部小說太長了,但是對于神經網絡要學習的數據集來說,這些內容太少了.

    But at the same time they contain a whole lot of unique words, nouns, and adjectives which aren't reused, which makes it very hard for the neural network to learn patterns.|

    此外,書中包含了許多獨特的詞匯、名詞和形容詞,它們沒有重復出現,這使得神經網絡很難學習到模式.

    Thoutt told Hill that a better source would be a book 100 times longer, but with the level of vocabulary of a children's book.

    圖特告訴希爾,更合適的數據源是一本比《冰與火之歌》長100倍,且詞匯水平相當于兒童圖書的書籍.

    英文來源:商業內幕網

     

      

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