Abstract
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.
Publisher
University of Colorado at Boulder
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献