Natural language is often seen as the single factor that explains the cognitive singularity of
the human species. Instead, we propose that humans possess multiple internal languages …

Considerable progress has recently been made in natural language processing: deep
learning algorithms are increasingly able to generate, summarize, translate and classify …

Several deep neural networks have recently been shown to generate activations similar to
those of the brain in response to the same input. These algorithms, however, remain largely …

Deep language algorithms, like GPT-2, have demonstrated remarkable abilities to process
text, and now constitute the backbone of automatic translation, summarization and dialogue …

Recursion, the process of embedding structures within similar structures, is often considered
a foundation of symbolic competence and a uniquely human capability. To understand its …

Recursive processing in sentence comprehension is considered a hallmark of human
linguistic abilities. However, its underlying neural mechanisms remain largely unknown. We …

A sentence is more than the sum of its words: its meaning depends on how they combine
with one another. The brain mechanisms underlying such semantic composition remain …

Recursive processing is considered a hallmark of human linguistic abilities. A recent study
evaluated recursive processing in recurrent neural language models (RNN-LMs) and …

The goal of compositional generalization benchmarks is to evaluate how well models
generalize to new complex linguistic expressions. Existing benchmarks often focus on …

Deep learning has recently made remarkable progress in natural language processing. Yet,
the resulting algorithms remain far from competing with the language abilities of the human …