Abstract
We ask how much information a human translator adds to an original text, and we provide a bound. We address this question in the context of bilingual text compression: given a source text, how many bits of additional information are required to specify the target text produced by a human translator? We develop new compression algorithms and establish a benchmark task.
Cite
CITATION STYLE
Zoph, B., Ghazvininejad, M., & Knight, K. (2015). How much information does a human translator add to the original? In Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing (pp. 889–898). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d15-1105
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