High frequency words have been suggested to benefit both speech segmentation and
grammatical categorization of the words around them. Despite utilizing similar information …

Recent studies suggest that high-frequency words may benefit speech segmentation
(Bortfeld, Morgan, Golinkoff, & Rathbun, 2005) and grammatical categorisation (Monaghan …

In language acquisition research, the prevailing position is that listeners exploit statistical
cues, in particular transitional probabilities between syllables, to discover words of a …

Can even a handful of newly learned words help to find further word candidates in a novel
spoken language? This study shows that the statistical segmentation of words from speech …

The identification of words in continuous speech, known as speech segmentation, is a
critical early step in language acquisition. This process is partially supported by statistical …

Word frequencies in natural language follow a highly skewed Zipfian distribution, but the
consequences of this distribution for language acquisition are only beginning to be …

The hypothesis that known words can serve as anchors for discovering new words in
connected speech has computational and empirical support. However, evidence for how the …

In 4 experiments, adults were familiarized with utterances from an artificial language. Short
utterances occurred both in isolation and as part of a longer utterance, either at the edge or …

The present experiments investigated how the process of statistically segmenting words
from fluent speech is linked to the process of mapping meanings to words. Seventeen-month …

We investigated whether adult learners' knowledge of phonotactic restrictions on word forms
from their first language impacts their ability to use statistical information to segment words in …