Abstract
Previous studies have suggested that children and adults form cognitive representations of co-occurring word sequences. We propose (1) that the formation of such multi-word unit (MWU) representations precedes and facilitates the formation of single-word representations in children and thus benefits word learning, and (2) that MWU representations facilitate adult word recognition and thus benefit lexical processing. Using a modified version of an existing computational model (McCauley and Christiansen, 2014), we extract MWUs from a corpus of child-directed speech (CDS) and a corpus of conversations among adults. We then correlate the number of MWUs within which each word appears with (1) age of first production and (2) adult reaction times on a word recognition task. In doing so, we take care to control for the effect of word frequency, as frequent words will naturally tend to occur in many MWUs. We also compare results to a baseline model which randomly groups words into sequences—and find that MWUs have a unique facilitatory effect on both response variables, suggesting that they benefit word learning in children and word recognition in adults. The effect is strongest on age of first production, implying that MWUs are comparatively more important for word learning than for adult lexical processing. We discuss possible underlying mechanisms and formulate testable predictions.
Highlights
In this paper, we examine the role of lexicalized word combinations in (1) child word learning and (2) adult lexical processing
It does not matter whether we use #Freq or #multi-word unit (MWU): the overall picture is very similar, with age of first production (AoFP) being more strongly negatively correlated with child-directed speech (CDS)-derived predictors, while reaction times (RTs) are more strongly negatively correlated with ADS-derived predictors (95% confidence interval for the absolute difference between the full correlations of RTs with ADS-#Freq and CDS-#Freq: 0.05–0.07; RTs with ADS-#MWUs and CDS-#MWUs: 0.04–0.06; AoFP with CDS-#Freq and ADS-#Freq: 0.14–0.16; and AoFP with CDS#MWUs and ADS-#MWUs: 0.13–0.16)
Controlling for #MWUs (Figure 3A), RTs are still more strongly negatively correlated with ADS-#Freq, and AoFP is still more strongly negatively correlated with CDS-#Freq
Summary
We examine the role of lexicalized word combinations in (1) child word learning and (2) adult lexical processing. For example, sequences whose meanings cannot be derived from the meaning of their constituent words (e.g., leave of absence, high five, or kick the bucket). Due to their semantic opacity, such expressions are likely to be stored wholesale in long-term memory. We use the term multi-word unit (MWU) to refer to any sequence of words—semantically opaque or not—which is likely to be lexicalized; and by using a modified version of an existing computational model (McCauley and Christiansen, 2014) which forms MWUs by relying on transitional probabilities between words, we operationalize MWUs as internally cohesive word sequences.
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