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Found 12 papers, 3 papers with code
Modeling the Interaction Between Perception-Based and Production-Based Learning in Children’s Early Acquisition of Semantic Knowledge
In this work, we propose a model integrating both perception- and production-based learning using artificial neural networks which we train on a large corpus of crowd-sourced images with corresponding descriptions.
Word Co-occurrence in Child-directed Speech Predicts Children’s Free Word Associations
The free association task has been very influential both in cognitive science and in computational linguistics.
Development of Multi-level Linguistic Alignment in Child-adult Conversations
Interactive alignment is a major mechanism of linguistic coordination.
TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking Data
In this paper we describe our contribution to the CMCL 2021 Shared Task, which consists in predicting 5 different eye tracking variables from English tokenized text.
Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks
When learning their native language, children acquire the meanings of words and sentences from highly ambiguous input without much explicit supervision.
Automatic Annotation of Grammaticality in Child-Caregiver Conversations
The acquisition of grammar has been a central question to adjudicate between theories of language acquisition.
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
Recent advances in vision-and-language modeling have seen the development of Transformer architectures that achieve remarkable performance on multimodal reasoning tasks.
The Development of Abstract Concepts in Children's Early Lexical Networks
How do children learn abstract concepts such as animal vs. artifact?
