The Mental Lexicon - Volume 9, Issue 3, 2014

There is growing evidence that multiword information affects processing. In this paper, we look at the effect of word and multiword frequency on the phonetic duration of words in spontaneous speech to (a) extend previous findings and (b) ask whether the relation between word and multiword information changes across the frequency continuum. If highly frequent sequences are stored holistically, then the effect of word frequency should disappear. If alternatively, increased sequence usage causes a change in the prominence of word and multiword information, we should see reduced effects of word frequency, and increased effects of sequence frequency for high frequency sequences. We first extend previous findings by showing that trigram frequency affects single word duration, even when controlling for word predictability. We then show that the effect of trigram frequency increases while the effect of word frequency decreases — but does not disappear — for highly frequent sequences. The findings provide further support for the effect of multiword information on processing and document the growing prominence of multiword information with repeated usage.

Although formulaic language has been studied extensively from both a linguistic and psycholinguistic perspective, little is known about the relationship between individual speakers’ knowledge of collocations and their linguistic experience, or between collocational knowledge and other aspects of linguistic knowledge. This is partly because work in these areas has been hampered by lack of an adequate instrument measuring speakers’ knowledge of collocations. This paper describes the development of such an instrument, the “Words that go together” (WGT) test, and some preliminary research using it. The instrument is a multiple choice test consisting of 40 items of varying frequency and collocation strength. The test was validated with a sample of 80 adult native speakers of English. Test-retest reliability was 0.80 and split-half reliability was 0.88. Convergent validity was established by comparing participants’ scores with measures expected to correlate with language experience (print exposure, education, and age) and other linguistic abilities (vocabulary size, grammatical comprehension); divergent validity was established by comparing test scores with nonverbal IQ. The results of the validation study are then used to compare speakers’ performance on the WGT with corpus-based measures of collocation strength (mutual information, z-score, t-score and simple frequency); however, no statistically reliable relationships were found.

In recent years, psycholinguistic studies have built support for the notion that formulaic language is more widespread and pervasive in adult sentence processing than previously assumed. These findings are mirrored in a number of developmental studies, suggesting that children’s item-based units do not diminish, but persist into adulthood, in keeping with a number of approaches emerging from cognitive linguistics. In the present paper, we describe a simple, psychologically motivated computational model of language acquisition in which the learning and use of formulaic expressions represents the foundation for comprehension and production processes. The model is shown to capture key psycholinguistic findings on children’s sensitivity to the properties of multiword strings and use of lexically specific multiword frames in morphological development. The results of these simulations, we argue, stress the importance of adopting a developmental perspective to better understand how formulaic expressions come to play an important role in adult language use.

What knowledge influences our choice of words when we write or speak? Predicting which word a person will produce next is not easy, even when the linguistic context is known. One task that has been used to assess context dependent word choice is the fill-in-the-blank task, also called the cloze task. The cloze probability of specific context is an empirical measure found by asking many people to fill in the blank. In this paper we harness the power of large corpora to look at the influence of corpus-derived probabilistic information from a word’s micro-context on word choice. We asked young adults to complete short phrases called n-grams with up to 20 responses per phrase. The probability of the responded word and the conditional probability of the response given the context were predictive of the frequency with which each response was produced. Furthermore the order in which the participants generated multiple completions of the same context was predicted by the conditional probability as well. These results suggest that word choice in cloze tasks taps into implicit knowledge of a person’s past experience with that word in various contexts. Furthermore, the importance of n-gram conditional probabilities in our analysis is further evidence of implicit knowledge about multi-word sequences and support theories of language processing that involve anticipating or predicting based on context.

We address a core question about idioms relevant to formulaic language generally: are the figurative meanings of idioms directly retrieved or compositionally built? An understanding of this question has been previously obscured by the fact that idioms vary in ways that can affect processing, and also because experimental tasks, which differ across studies, probe different kinds of comprehension processes. We thus investigate how linguistic differences among idioms in semantic decomposability, familiarity, and literal plausibility modulate figurative meaning activation using cross-modal semantic priming, which is ideal for tracking activation of a particular target meaning over time. Across two experiments, we obtained two key findings. First, a comparison of different prime-target delay conditions suggests that figurative meaning activation steadily accrues as the idiom unfolds to 1000 ms later. Second, different linguistic attributes of idioms modulate figurative activation at different time points: increased literal plausibility interferes with idiom priming prior to the offset of the phrase, increased familiarity facilitates idiom priming at phrase offset, and increased semantic decomposability (surprisingly) interferes with idiom priming 1000 ms following phrase offset. These results contradict strong decompositional models of idiom processing and rather suggest that multiple linguistic factors jointly constrain figurative meaning retrieval in a time-dependent fashion.