Humans Outperform Machines at the Bilingual Shannon Game
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 develop...
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2016-12-01
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Online Access: | http://www.mdpi.com/1099-4300/19/1/15 |
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doaj-8d842893a4b74f8597fd1d5bd3d21e712020-11-24T23:11:59ZengMDPI AGEntropy1099-43002016-12-011911510.3390/e19010015e19010015Humans Outperform Machines at the Bilingual Shannon GameMarjan Ghazvininejad0Kevin Knight1Information Sciences Institute, University of Southern California, 4676 Admiralty Way #1001, Marina Del Rey, CA 90292, USAInformation Sciences Institute, University of Southern California, 4676 Admiralty Way #1001, Marina Del Rey, CA 90292, USAWe 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.http://www.mdpi.com/1099-4300/19/1/15compressionmultilingualtranslation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marjan Ghazvininejad Kevin Knight |
spellingShingle |
Marjan Ghazvininejad Kevin Knight Humans Outperform Machines at the Bilingual Shannon Game Entropy compression multilingual translation |
author_facet |
Marjan Ghazvininejad Kevin Knight |
author_sort |
Marjan Ghazvininejad |
title |
Humans Outperform Machines at the Bilingual Shannon Game |
title_short |
Humans Outperform Machines at the Bilingual Shannon Game |
title_full |
Humans Outperform Machines at the Bilingual Shannon Game |
title_fullStr |
Humans Outperform Machines at the Bilingual Shannon Game |
title_full_unstemmed |
Humans Outperform Machines at the Bilingual Shannon Game |
title_sort |
humans outperform machines at the bilingual shannon game |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2016-12-01 |
description |
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. |
topic |
compression multilingual translation |
url |
http://www.mdpi.com/1099-4300/19/1/15 |
work_keys_str_mv |
AT marjanghazvininejad humansoutperformmachinesatthebilingualshannongame AT kevinknight humansoutperformmachinesatthebilingualshannongame |
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1725602965418409984 |