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Found 23 papers, 8 papers with code
Quantifying Cognitive Factors in Lexical Decline
Specifically, we propose a variety of psycholinguistic factors -- semantic, distributional, and phonological -- that we hypothesize are predictive of lexical decline, in which words greatly decrease in frequency over time.
Competition in Cross-situational Word Learning: A Computational Study
Children learn word meanings by tapping into the commonalities across different situations in which words are used and overcome the high level of uncertainty involved in early word learning experiences.
Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage
A large body of research on gender-linked language has established foundations regarding cross-gender differences in lexical, emotional, and topical preferences, along with their sociological underpinnings.
Exploration of Gender Differences in COVID-19 Discourse on Reddit
Decades of research on differences in the language of men and women have established postulates about preferences in lexical, topical, and emotional expression between the two genders, along with their sociological underpinnings.
The Typology of Polysemy: A Multilingual Distributional Framework
Lexical semantic typology has identified important cross-linguistic generalizations about the variation and commonalities in polysemy patterns---how languages package up meanings into words.
Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns
Computational research on error detection in second language speakers has mainly addressed clear grammatical anomalies typical to learners at the beginner-to-intermediate level.
CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums
In contrast to many decades of research on oral code-switching, the study of written multilingual productions has only recently enjoyed a surge of interest.
Predicting and Explaining Human Semantic Search in a Cognitive Model
Recent work has attempted to characterize the structure of semantic memory and the search algorithms which, together, best approximate human patterns of search revealed in a semantic fluency task.
Calculating Probabilities Simplifies Word Learning
Children can use the statistical regularities of their environment to learn word meanings, a mechanism known as cross-situational learning.
The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation
People exhibit a tendency to generalize a novel noun to the basic-level in a hierarchical taxonomy -- a cognitively salient category such as "dog" -- with the degree of generalization depending on the number and type of exemplars.
Simple Search Algorithms on Semantic Networks Learned from Language Use
Recent empirical and modeling research has focused on the semantic fluency task because it is informative about semantic memory.
