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Home Future Tech AI

Microsoft’s AI can convert images into Chinese poetry

by Smriti Sharma
August 11, 2018 - Updated On August 14, 2018
in AI, News
Reading Time: 3 mins read
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Microsoft’s AI can convert images into Chinese poetry
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11 August, 2018

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Microsoft recently taught its XiaoIce chatbot, a Chinese language conversational AI, how to interpret pictures as poems. We’re not sure if that counts as inspired writing, but it’s an interesting step toward better mimicking humans.

It’s not the first AI to write poetry, but it’s the first we’ve seen that can generate Chinese language poems inspired by images. Here is an example: 

“Wings hold rocks and water lightly

in the loneliness

Stroll the empty

The land becomes soft”

The problem of teaching AI how to generate text descriptions or captions for images is a popular one among machine learning researchers. If an AI can eventually be taught to see the world the same way we do, starting with one image at a time, eventually we can teach it to see things our way all the time.

As humans, we can look at a picture and make inferences, point out objects, describe people’s facial features, and more – this is all based on our ability to draw upon context. Computer vision and deep learning artificial neural networks make it possible for machines to do this as well, but so far they’re nowhere near as good at it as an average human child.

One of the paths to creating a better autonomous image description AI is to keep tweaking a machine learning model until its output is indistinguishable from the work done by humans. But, at some point, simple descriptions like “I see a red apple on a brown table” are good enough to fool everyone. It’s pointless to try and figure out if a machine or a human wrote that, because it could obviously be either.

To further their work researchers have to find ways to make machines better at mimicking us, which means trying more difficult natural language processing tasks. And poetry is obviously more complex than simple captions.

So how does it work? Scientists input some rules and then make a neural network split itself into a side that generates a poem, and a side that judges a poem. If the judge side thinks the rules have been met and particular poem is good enough for human eyes, it lets it through. A human then checks the results. If it’s not good enough, they go back to tweaking the parameters until its spitting out good stuff.

“While traditional Chinese poetry is constructed with strict rules and patterns (e.g., five-word quatrains are required to contain four sentences and each sentence has five Chinese characters, also words need rhymes in specific positions), modern Chinese poetry is unstructured in vernacular Chinese. Compared to traditional Chinese poetry, although the readability of vernacular Chinese makes modern Chinese poetry easier to strike a chord, errors in words or grammar can more easily be criticized by users. Good modern poetry also requires more imagination and creative uses of language. From these perspectives, it may be more difficult to generate a good modern poem than a classic poem.”

(Image:- thenextweb.com)

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