Ideas Labs | Augmenting Human Communication | Wu Dekai | Summary and Q&A

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October 24, 2014
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World Economic Forum
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Ideas Labs | Augmenting Human Communication | Wu Dekai

TL;DR

Language and music share common origins and neurobiological processing, and understanding their complex relationships is crucial for the advancement of big data science.

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Questions & Answers

Q: What makes language and music unique to humans?

Language and music are unique to humans because they share common evolutionary origins and neurobiological processing, and these abilities are what set us apart from other species.

Q: How do we learn the complex relationships between languages?

Humans learn languages through correlation, by associating auditory and visual representations over many instances. However, current technology and robots are still not advanced enough to achieve this.

Q: How can translation models help in understanding language?

Traditional translation models have exponential complexity, but by using inversion transaction grammars, translations become more efficient. Learning translations is crucial for intelligence and the cognitive capability underlying it.

Q: How are translation models applied to music?

Translation models can also be applied to understanding the complex relationships within musical language. For example, in hip hop, a machine can learn to translate challenge lyrics into improvised creative responses.

Summary & Key Takeaways

  • Language and music have common evolutionary origins and play a significant role in human communication.

  • Translating languages and understanding the complex relationships within them is a challenge for big data science.

  • Music serves as a trade route for cross-cultural relations and is an effective way to learn languages and build relationships.

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