Modeling the Acquisition of Words with Multiple Meanings
Libby Barak | Sammy Floyd | Adele Goldberg
Proceedings of the Society for Computation in Linguistics (SCiL) 2019
Polysemous Language in Child Directed Speech
Sammy Floyd | Libby Barak | Adele Goldberg | Casey Lew-Williams
Proceedings of the 2019 Workshop on Widening NLP
Polysemous Language in Child Directed Speech Learning the meaning of words is one of the fundamental building blocks of verbal communication. Models of child language acquisition have generally made the simplifying assumption that each word appears in child-directed speech with a single meaning. To understand naturalistic word learning during childhood, it is essential to know whether children hear input that is in fact constrained to single meaning per word, or whether the environment naturally contains multiple senses.In this study, we use a topic modeling approach to automatically induce word senses from child-directed speech. Our results confirm the plausibility of our automated analysis approach and reveal an increasing rate of using multiple senses in child-directed speech, starting with corpora from children as early as the first year of life.