— pdf | language models (lms) have achieved impressive performance on various linguistic tasks, but their relationship to human language processing in the.

This work presents an empirical approach to quantifying the loss of lexical richness in machine translation (mt) systems compared to human translation (ht).

David marr’s levels of analysis framework (marr & vision, 1982) provides a valuable lens for comparing lms.

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— pdf | this work presents an empirical approach to quantifying the loss of lexical richness in machine translation (mt) systems compared to human.

The algorithmic gap between lms and the brain, by tommaso tosato and 4 other authors.

Language models (lms) have achieved impressive performance on various linguistic tasks, but their relationship to human language processing in the brain remains unclear.

Our experiments show how current mt systems indeed fail to render the lexical diversity of.

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— view a pdf of the paper titled lost in translation:

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