On Achieving and Evaluating Language-Independence in NLP

Emily M. Bender


Language independence is commonly presented as one of the advantages of modern, machine-learning approaches to NLP, and it is an important type of scalability.

In this position paper, I critically review the widespread approaches to achieving and evaluating language independence in the field of com- putational linguistics and argue that, on the one hand, we are not truly evaluating language independence with any systematicity and on the other hand, that truly language-independent technology requires more linguistic sophistication than is the norm.


syntax; language independence;

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