On Achieving and Evaluating Language-Independence in NLP
DOI:
https://doi.org/10.33011/lilt.v6i.1239Keywords:
syntax, language independenceAbstract
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 computational 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.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under CC BY 4.0, which permits you to use, share, adapt, distribute, and reproduce it in any medium or format, provided you credit the original author(s) and source.