The effect of lexicalization biases on cross-situational statistical learning of novel verbs
Languages vary in the map** of relational terms onto events. For instance, English motion
descriptions favor manner (how something moves) verbs over path (where something move) …
descriptions favor manner (how something moves) verbs over path (where something move) …
Action recognition based on cross-situational action-object statistics
Machine learning models of visual action recognition are typically trained and tested on data
from specific situations where actions are associated with certain objects. It is an open …
from specific situations where actions are associated with certain objects. It is an open …
Cross‐situational learning from ambiguous egocentric input is a continuous process: Evidence using the human simulation paradigm
Recent laboratory experiments have shown that both infant and adult learners can acquire
word‐referent map**s using cross‐situational statistics. The vast majority of the work on …
word‐referent map**s using cross‐situational statistics. The vast majority of the work on …
Laying the Foundation: Extracting Partial Meanings of Hard Nouns via Observational Contexts
A key aspect of understanding how children learn the meanings of words involves
understanding how they mine different sources of information (eg, observational, linguistic) …
understanding how they mine different sources of information (eg, observational, linguistic) …
[PDF][PDF] Laying the Foundation: Extracting Partial Meanings of Hard Nouns via Observational
A key aspect of understanding how children learn the meanings of words involves
understanding how they mine different sources of information (eg, observational, linguistic) …
understanding how they mine different sources of information (eg, observational, linguistic) …
[BUCH][B] Rethinking the Role of Training Data for Computer Vision: Scientific Studies of Egocentric Vision
S Tsutsui - 2021 - search.proquest.com
The vast majority of work in computer vision focuses on proposing and applying new
machine learning models and algorithms for visual recognition. In contrast, relatively little …
machine learning models and algorithms for visual recognition. In contrast, relatively little …
Quantifying cross-situational statistics during parent-child toy play
According to cross-situational learning, infants aggregate statistical information across
naming events to resolve ambiguous word-referent map**s. While lab experiments show …
naming events to resolve ambiguous word-referent map**s. While lab experiments show …
When close isn't enough: Semantic similarity does not facilitate cross-situational word-learning
Infants' earliest words are learned by observation of the referent world, but substantial
research suggests such learning is highly error-prone. However, recent work suggests that …
research suggests such learning is highly error-prone. However, recent work suggests that …