Neurocomputational models of language processing
Efforts to understand the brain bases of language face the Mapping Problem: At what level
do linguistic computations and representations connect to human neurobiology? We review …
do linguistic computations and representations connect to human neurobiology? We review …
ROSE: A neurocomputational architecture for syntax
E Murphy - Journal of Neurolinguistics, 2024 - Elsevier
A comprehensive neural model of language must accommodate four components:
representations, operations, structures and encoding. Recent intracranial research has …
representations, operations, structures and encoding. Recent intracranial research has …
Robust effects of working memory demand during naturalistic language comprehension in language-selective cortex
To understand language, we must infer structured meanings from real-time auditory or visual
signals. Researchers have long focused on word-by-word structure building in working …
signals. Researchers have long focused on word-by-word structure building in working …
Le Petit Prince multilingual naturalistic fMRI corpus
Neuroimaging using more ecologically valid stimuli such as audiobooks has advanced our
understanding of natural language comprehension in the brain. However, prior naturalistic …
understanding of natural language comprehension in the brain. However, prior naturalistic …
Diverging neural dynamics for syntactic structure building in naturalistic speaking and listening
The neural correlates of sentence production are typically studied using task paradigms that
differ considerably from the experience of speaking outside of an experimental setting. In …
differ considerably from the experience of speaking outside of an experimental setting. In …
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
R Ueda, T Taniguchi - arXiv preprint arXiv:2311.04453, 2023 - arxiv.org
As a sub-discipline of evolutionary and computational linguistics, emergent communication
(EC) studies communication protocols, called emergent languages, arising in simulations …
(EC) studies communication protocols, called emergent languages, arising in simulations …
Localizing syntactic composition with left-corner recurrent neural network grammars
In computational neurolinguistics, it has been demonstrated that hierarchical models such
as recurrent neural network grammars (RNNGs), which jointly generate word sequences …
as recurrent neural network grammars (RNNGs), which jointly generate word sequences …
Connecting neural response measurements & computational models of language: a non-comprehensive guide
M Abdou - arXiv preprint arXiv:2203.05300, 2022 - arxiv.org
Understanding the neural basis of language comprehension in the brain has been a long-
standing goal of various scientific research programs. Recent advances in language …
standing goal of various scientific research programs. Recent advances in language …
On the challenges of fully incremental neural dependency parsing
Since the popularization of BiLSTMs and Transformer-based bidirectional encoders, state-of-
the-art syntactic parsers have lacked incrementality, requiring access to the whole sentence …
the-art syntactic parsers have lacked incrementality, requiring access to the whole sentence …
Categorial grammar induction from raw data
C Clark, W Schuler - Findings of the Association for …, 2023 - aclanthology.org
Grammar induction, the task of learning a set of grammatical rules from raw or minimally
labeled text data, can provide clues about what kinds of syntactic structures are learnable …
labeled text data, can provide clues about what kinds of syntactic structures are learnable …