Cognitive science applies diverse tools and perspectives to study human language.
Recently, an exciting body of work has examined linguistic phenomena through the lens of …

Dependency grammar is a descriptive and theoretical tradition in linguistics that can be
traced back to antiquity. It has long been influential in the European linguistics tradition and …

Measuring bias is key for better understanding and addressing unfairness in NLP/ML
models. This is often done via fairness metrics, which quantify the differences in a model's …

Neural NLP systems achieve high scores in the presence of sizable training dataset. Lack of
such datasets leads to poor system performances in the case low-resource languages. We …

The present paper discusses the benefits and challenges of token-based typology, which
takes into account the frequencies of words and constructions in language use. This …

The choice associated with words is a fundamental property of natural languages. It lies at
the heart of quantitative linguistics, computational linguistics and language sciences more …

The universal properties of human languages have been the subject of intense study across
the language sciences. We report computational and corpus evidence for the hypothesis …

This paper investigates the ability of multilingual BERT (mBERT) language model to transfer
syntactic knowledge cross-lingually, verifying if and to which extent syntactic dependency …

It is now a common practice to compare models of human language processing by
comparing how well they predict behavioral and neural measures of processing difficulty …

This article argues for a gradient approach to word order, which treats word order
preferences, both within and across languages, as a continuous variable. Word order …