Humans Outperform Machines at the Bilingual Shannon Game

Marjan Ghazvininejad, Kevin Knight
2016 Entropy  
We provide an upper bound for the amount of information a human translator adds to an original text, i.e., how many bits of information we need to store a translation, given the original. We do this by creating a Bilingual Shannon Game that elicits character guesses from human subjects, then developing models to estimate the entropy of those guess sequences.
doi:10.3390/e19010015 fatcat:sooedh3skbbuzdho3vm7dwrt7a