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Purpose Learning novel words, including the specific phonemes that make up word forms, is a struggle for many individuals with developmental language disorder (DLD). Building robust representations of words includes encoding during periods of input and consolidation between periods of input. The primary purpose of the current study is to determine differences between children with DLD and with typical development (TD) in the encoding and consolidation of word forms during the slow mapping process. Method Preschool-age children (DLD = 9, TD = 9) were trained on nine form–referent pairs across multiple consecutive training days. Children's ability to name referents at the end of training days indicated their ability to encode forms. Children's ability to name referents at the beginning of training days after a period of overnight sleep indicated their ability to consolidate forms. Word learning was assessed 1 month after training to determine long-term retention of forms. Results Throughout training, children with DLD produced fewer forms correctly and produced forms with less phonological precision than children with TD. Thus, children with DLD demonstrated impaired encoding. However, children with and without DLD demonstrated a similar ability to consolidate forms between training days and to retain forms across a 1-month delay. Conclusions Difficulties with word form learning are primarily driven by deficits in encoding for children with DLD. Clinicians and educators can support encoding by providing children with adequate exposures to target words via robust training that occurs across multiple sessions. Supplemental Material https://doi.org/10.23641/asha.16746454

Current methods for reporting interventions do not allow key questions of importance to practitioners, service providers, policy-makers and people with DLD to be answered, and hence limit the implementation of effective interventions in the real world. To extend the existing EQUATOR guidelines to the context of speech language therapy/pathology for children with language disorder and to provide more specific guidance on participants, interventions and outcomes within the CONSORT checklist (used to improve the reporting of randomised controlled trials) and TIDieR (Template for Intervention Description and Replication) to ensure consistency of reporting. We will develop a core team to include representatives from each of the key groups who will either use or be influenced by the final reporting guidance across different countries. To achieve each set of aims, we will conduct reviews of the literature (which present typologies of intervention characteristics in (D)LD and related disorders); carry out focus groups; and use systematic consensus methods such as the Delphi technique, nominal group technique or consensus development conferences. Through the development and adoption of standard intervention reporting criteria, we anticipate that we will overcome the numerous barriers for practitioners, services and policy-makers in applying intervention evidence to practice. We believe that establishing international consensus on reporting guidelines would significantly accelerate progress in DLD research and the ease with which it can be used in clinical practice, by capitalising on the growth in intervention studies to enable international collaboration and new methodologies of data pooling, meta-analyses and cross-study comparisons.

This editorial introduces the new registered reports article type for theRegistered reports can be a positive addition to scientific publications by addressing issues of publication bias, questionable research practices, and the late influence of peer review. This article type does so by requiring reviewers and authors to agree in advance that the experimental design is solid, the questions are interesting, and the results will be publishable regardless of the outcome. This procedure ensures that replication studies and null results make it into the published literature and that authors are not incentivized to alter their analyses based on the results that they obtain. Registered reports represent an ongoing commitment to research integrity and finding structural solutions to structural problems inherent in a research and publishing landscape in which publications are such a high-stakes aspect of individual and institutional success.

Purpose The purpose of this study was to examine whether children's identification of misarticulated words as real objects was influenced by an inherent bias toward selecting real objects or whether a change in experimental conditions could impact children's selections. Method Forty preschool children aged 4 years 0 months to 6 years 11 months across 2 experiments heard accurate productions of real words (e.g., “leaf”), misarticulated words (e.g., “weaf” and “yeaf”), and unrelated nonwords (e.g., “geem”). Within the misarticulated words, the commonness of the substitute was controlled to be “common” or “uncommon.” Using the MouseTracker software, children were asked to select between a real object (e.g., a leaf) and a novel object (Experiment 1) or between a real object (e.g., a leaf) and a blank square, which represented a hidden object (Experiment 2). Results Consistent with previous findings, children chose real objects significantly more when they heard accurate productions (e.g., “leaf”) than misarticulated productions (e.g., “weaf” or “yeaf”) across both experiments. In misarticulation conditions, real object selections were lower than in the previous study; however, children chose real objects significantly more in the common misarticulation condition than in the uncommon misarticulation condition. Conclusions The results of this study are consistent with previous findings. Children's behavioral responses depended upon the task. Despite these differences in the task, children demonstrated ease in integrating variability into their word identification.

Purpose Although language sample analysis is widely recommended for assessing children's expressive language, few school-based speech-language pathologists routinely use it, citing a lack of time, resources, and training ( Pavelko, Owens, Ireland, & Hahs-Vaughn, 2016 ). The purpose of this clinical tutorial is (a) to describe options for language sample analysis using computer programs and (b) to demonstrate a process of using language sample analysis focused on the assessment of 2 preschool children as case studies. Method We provide an overview of collecting and analyzing child language samples and describe 3 programs for language sample analysis: 2 dedicated software programs (Computerized Language Analysis [ MacWhinney, 2000 ] and Systematic Analysis of Language Transcripts [ Miller & Iglesias, 2015 ]) and 1 protocol for using word processing software to analyze language samples (Sampling Utterances and Grammatical Analysis Revised; Pavelko & Owens, 2017 ). We also present analysis results from each program for play-based language samples from 2 preschool children and detailed analysis of the samples with potential treatment goals. Results Each program offers different analyses, comparison databases, and sampling contexts. We present options for additional analysis, clinical interpretations, and potential treatment goals based on the 2 preschool cases. Conclusion Clinicians can use computer programs for language sample analysis as part of a process to make naturalistic language assessment more feasible. Supplemental Material https://doi.org/10.23641/asha.10093403

Purpose The goal was to determine whether interactive book reading outcomes for children with developmental language disorder (DLD) were affected by manipulation of dose (i.e., the number of exposures to the target word during a book reading session) and dose frequency (i.e., the number of repeated book reading sessions) and whether pretreatment factors predicted treatment response variation. Method Thirty-four kindergarten children with DLD (aged 5;0–6;2 [years;months]) were taught 1 set of words using the Dose 6 and Dose Frequency 6 format from a prior study ( Storkel, Voelmle, et al., 2017 ) and taught a different set of words using an alternative format, either Dose 4 × Dose Frequency 9 or Dose 9 × Dose Frequency 4, determined through random assignment. Word learning was tracked for each treatment via a definition task prior to, during, and after treatment. Results Results showed that children with DLD learned a significant number of words during treatment regardless of the dose and dose frequency format but that significant forgetting of newly learned words occurred in all formats once treatment was withdrawn. Individual differences in word learning were related to Clinical Evaluation of Language Fundamentals Core Language and Understanding Spoken Paragraphs scores. Conclusion When administered at an adequate intensity, variation in the dose and dose frequency of interactive book reading does not appear to influence word learning by children with DLD. Although interactive book reading continues to show promise as an effective word learning intervention for children with DLD, further development is needed to enhance the effectiveness of this treatment approach. Supplemental Material https://doi.org/10.23641/asha.9745181

Purpose For a child to receive treatment of a speech sound disorder in public schools, the child must demonstrate evidence of an exceptionality in producing speech sounds. One method advocated by s...

Purpose The purpose of the present studies was to determine how children's identification and processing of misarticulated words was influenced by substitution commonness. Method Sixty-one typically developing preschoolers across 3 experiments heard accurate productions of words (e.g., “leaf”), words containing common substitutions (e.g., “weaf”), and words containing uncommon substitutions (e.g., “yeaf”). On each trial, preschoolers chose between a real object picture (e.g., a leaf) and a nonobject (e.g., an anomalous line drawing). Accuracy and processing were measured using MouseTracker and eye tracking. Results Overall, children chose real objects significantly more when presented with accurate productions (e.g., “leaf”) than misarticulated productions (e.g., “weaf” or “yeaf”). Within misarticulation conditions, children chose real objects significantly more when hearing common misarticulations (e.g., “weaf”) than uncommon misarticulations (e.g., “yeaf”). Preschoolers identified words significantly faster and with greater certainty in accurate conditions than misarticulated conditions. Conclusions The results of the present studies indicate that the commonness of substitutions influences children's identification of misarticulated words. Children hear common substitutions more frequently and therefore were supported in their identification of these words as real objects. The presence of substitutions, however, slowed reaction time when compared with accurate productions. Supplemental Material https://doi.org/10.23641/asha.5965510

Purpose Item response theory (IRT) is a psychometric approach to measurement that uses latent trait abilities (e.g., speech sound production skills) to model performance on individual items that vary by difficulty and discrimination. An IRT analysis was applied to preschoolers' productions of the words on the Goldman-Fristoe Test of Articulation–Second Edition (GFTA-2) to identify candidates for a screening measure of speech sound production skills. Method The phoneme accuracies from 154 preschoolers, with speech skills on the GFTA-2 ranging from the 1st to above the 90th percentile, were analyzed with a 2-parameter logistic model. Results A total of 108 of the 232 phonemes from stimuli in the sounds-in-words subtest fit the IRT model. These phonemes, and subgroups of the most difficult of these phonemes, correlated significantly with the children's overall percentile scores on the GFTA-2. Regression equations calculated for the 5 and 10 most difficult phonemes predicted overall percentile score at levels commensurate with other screening measures. Conclusions These results suggest that speech production accuracy can be screened effectively with a small number of sounds. They motivate further research toward the development of a screening measure of children's speech sound production skills whose stimuli consist of a limited number of difficult phonemes.

Purpose This study sought to identify an adequate intensity of interactive book reading for new word learning by children with specific language impairment (SLI) and to examine variability in treatment response. Method An escalation design adapted from nontoxic drug trials (Hunsberger, Rubinstein, Dancey, & Korn, 2005) was used in this Phase I/II preliminary clinical trial. A total of 27 kindergarten children with SLI were randomized to 1 of 4 intensities of interactive book reading: 12, 24, 36, or 48 exposures. Word learning was monitored through a definition task and a naming task. An intensity response curve was examined to identify the adequate intensity. Correlations and classification accuracy were used to examine variation in response to treatment relative to pretreatment and early treatment measures. Results Response to treatment improved as intensity increased from 12 to 24 to 36 exposures, and then no further improvements were observed as intensity increased to 48 exposures. There was variability in treatment response: Children with poor phonological awareness, low vocabulary, and/or poor nonword repetition were less likely to respond to treatment. Conclusion The adequate intensity for this version of interactive book reading was 36 exposures, but further development of the treatment is needed to increase the benefit for children with SLI.

This article will describe a bilingual preliminary treatment method currently being utilized in a clinical research study to teach vocabulary to bilingual (Spanish/English) preschool aged (four to six years old) children with developmental language disorder (DLD). The objective of this treatment method is to advance English vocabulary while supporting the native language abilities of English learners (ELs). In this bilingual treatment method, Spanish and English are used within the session, which includes the reading of books in English and Spanish and the teaching of vocabulary in English and Spanish.

Purpose Noisy conditions make auditory processing difficult. This study explores whether noisy conditions influence the effects of phonotactic probability (the likelihood of occurrence of a sound sequence) and neighborhood density (phonological similarity among words) on adults' word learning. Method Fifty-eight adults learned nonwords varying in phonotactic probability and neighborhood density in either an unfavorable (0-dB signal-to-noise ratio [SNR]) or a favorable (+8-dB SNR) listening condition. Word learning was assessed using a picture naming task by scoring the proportion of phonemes named correctly. Results The unfavorable 0-dB SNR condition showed a significant interaction between phonotactic probability and neighborhood density in the absence of main effects. In particular, adults learned more words when phonotactic probability and neighborhood density were both low or both high. The +8-dB SNR condition did not show this interaction. These results are inconsistent with those from a prior adult word learning study conducted under quiet listening conditions that showed main effects of word characteristics. Conclusions As the listening condition worsens, adult word learning benefits from a convergence of phonotactic probability and neighborhood density. Clinical implications are discussed for potential populations who experience difficulty with auditory perception or processing, making them more vulnerable to noise.

Many studies have addressed the effect of neighborhood density (phonological similarity among words) on word learning in quiet listening conditions. We explored how noise influences the effect of neighborhood density on children's word learning. One-hundred-and-two preschoolers learned nonwords varied in neighborhood density in one of four listening conditions: quiet, +15 dB signal-to-noise ratio (SNR), +6 dB SNR, and 0 dB SNR. Results showed that a high-density advantage for children under quiet listening condition was significantly reduced as noise increased. This finding implies an adverse impact of noise on long-term outcomes of word learning.

The learning of a new word involves at least two processes: learning from input and memory evolution in the absence of input. The authors will review the literature and describe the relationship between these two processes and novel word learning by children with specific language impairment (SLI). Cases from an ongoing preliminary clinical trial of word learning in kindergarten children with SLI will serve as clinical illustrations. In particular, one case will be used to demonstrate a pattern of good learning from input and good memory retention (i.e., desirable learning pattern during treatment). Three additional cases will be used to illustrate patterns indicative of poor learning from input and/or poor memory retention. Suggestions will be provided concerning how treatment can be altered when these patterns appear, to promote desirable learning outcomes.

This article will review the evidence base for interactive book reading to facilitate new word learning for preschool and school age children. Methods from an ongoing clinical trial of interactive book reading will be described to illustrate how this treatment approach can be delivered at a high intensity to children with specific language impairment (SLI). Preliminary results from this clinical trial indicate that children with SLI need a modified intensity that is three times higher than their same-age peers.

The goal of this study was to explore the effects of phonotactic probability, word length, word frequency, and neighborhood density on the words known by children with cochlear implants (CIs) varying in vocabulary outcomes in a retrospective analysis of a subset of data from a longitudinal study of hearing loss. Generalized linear mixed modeling was used to examine the effects of these word characteristics at 3 time points: preimplant, postimplant, and longitudinal follow-up. Results showed a robust effect of neighborhood density across group and time, whereas the effect of frequency varied by time. Significant effects of phonotactic probability or word length were not detected. Taken together, these findings suggest that children with CIs may be able to use spoken language structure in a manner similar to their normal hearing counterparts, despite the differences in the quality of the input. The differences in the effects of phonotactic probability and word length imply a difficulty in initiating word learning and limited working memory ability in children with CIs.

Purpose There are a number of evidence-based treatments for preschool children with phonological disorders (Baker & McLeod, 2011). However, a recent survey by Brumbaugh and Smit (2013) suggests that speech-language pathologists are not equally familiar with all evidence-based treatment alternatives, particularly the complexity approach. The goal of this clinical tutorial is to provide coaching on the implementation of the complexity approach in clinical practice, focusing on treatment target selection. Method Evidence related to selecting targets for treatment based on characteristics of the targets (i.e., developmental norms, implicational universals) and characteristics of children's knowledge of the targets (i.e., accuracy, stimulability) is reviewed. Free resources are provided to aid clinicians in assessing accuracy and stimulability of singletons and clusters. Use of treatment target selection and generalization prediction worksheets is illustrated with 3 preschool children. Results Clinicians can integrate multiple pieces of information to select complex targets and successfully apply the complexity approach to their own clinical practice. Conclusion Incorporating the complexity approach into clinical practice will expand the range of evidence-based treatment options that clinicians can use when treating preschool children with phonological disorders. Supplemental Material S1 https://doi.org/10.23641/asha.6007562 KU ScholarWorks Supplemental Material http://hdl.handle.net/1808/24767

Purpose Word selection has typically been thought of as an inactive ingredient in phonological treatment, but emerging evidence suggests that word selection is an active ingredient that can impact phonological learning. The goals of this tutorial are to (a) review the emerging single-subject evidence on the influence of word characteristics on phonological learning in clinical treatment, (b) outline hypotheses regarding the mechanism of action of word characteristics, and (c) provide resources to support clinicians incorporating word selection as an active ingredient in their approach to phonological treatment. Method Research demonstrating the influence of the word frequency, neighborhood density, age of acquisition, and lexicality of treatment stimuli on phonological learning is summarized. The mechanism of action for each characteristic is hypothesized. Methods from the research studies are used to create a free set of evidence-based treatment materials targeting most of the mid-8 and late-8 consonants. Results Clinicians have numerous evidence-based options to consider when selecting stimuli for phonological treatment including (a) high-frequency and high-density words, (b) low-frequency and high-density words, (c) high-frequency and mixed-density words, (d) low-frequency and late-acquired words, and (e) nonwords. Conclusion Incorporating word characteristics into phonological treatment may boost phonological learning. KU ScholarWorks Supplemental Material http://hdl.handle.net/1808/24768

Purpose The purpose of this clinical forum is to provide guidance on which children with speech sound disorders should qualify for services in the public schools. The articles in the forum consider how to define impaired articulation (viewed more broadly as referring to articulation and phonology), adverse effects, and educational performance. Conclusion The take-home message across articles is that determining eligibility for speech-language services is complex, requiring a comprehensive understanding of a child's skills with speech sounds but also the impact of their speech errors on written language and social–emotional well-being. These decisions cannot be made quickly with minimal information. Speech-language pathologists may need to advocate for a realistic allotment of time to conduct a comprehensive assessment, including time to think about the results and implications of that assessment.

Purpose In this study, the authors investigated adult word learning to determine how neighborhood density and practice across phonologically related training sets influence online learning from input during training versus offline memory evolution during no-training gaps. Method Sixty-one adults were randomly assigned to learn low- or high-density nonwords. Within each density condition, participants were trained on one set of words and then were trained on a second set of words, consisting of phonological neighbors of the first set. Learning was measured in a picture-naming test. Data were analyzed using multilevel modeling and spline regression. Results Steep learning during input was observed, with new words from dense neighborhoods and new words that were neighbors of recently learned words (i.e., second-set words) being learned better than other words. In terms of memory evolution, large and significant forgetting was observed during 1-week gaps in training. Effects of density and practice during memory evolution were opposite of those during input. Specifically, forgetting was greater for high-density and second-set words than for low-density and first-set words. Conclusion High phonological similarity, regardless of source (i.e., known words or recent training), appears to facilitate online learning from input but seems to impede offline memory evolution. Supplemental Material https://doi.org/10.23641/asha.6170462

Purpose Phonotactic probability or neighborhood density has predominately been defined through the use of gross distinctions (i.e., low vs. high). In the current studies, the authors examined the influence of finer changes in probability (Experiment 1) and density (Experiment 2) on word learning. Method The authors examined the full range of probability or density by sampling 5 nonwords from each of 4 quartiles. Three- and 5-year-old children received training on nonword–nonobject pairs. Learning was measured in a picture-naming task immediately following training and 1 week after training. Results were analyzed through the use of multilevel modeling. Results A linear spline model best captured nonlinearities in phonotactic probability. Specifically, word learning improved as probability increased in the lowest quartile, worsened as probability increased in the mid-low quartile, and then remained stable and poor in the 2 highest quartiles. An ordinary linear model sufficiently described neighborhood density. Here, word learning improved as density increased across all quartiles. Conclusion Given these different patterns, phonotactic probability and neighborhood density appear to influence different word learning processes. Specifically, phonotactic probability may affect recognition that a sound sequence is an acceptable word in the language and is a novel word for the child, whereas neighborhood density may influence creation of a new representation in long-term memory. Supplemental Material https://doi.org/10.23641/asha.6170399

Purpose The goal of this study was to provide guidance to clinicians on early benchmarks of successful word learning in an interactive book reading treatment and to examine how encoding and memory evolution during treatment contribute to word learning outcomes by kindergarten children with specific language impairment (SLI). Method Twenty-seven kindergarten children with SLI participated in a preliminary clinical trial using interactive book reading to teach 30 new words. Word learning was assessed at 4 points during treatment through a picture naming test. Results The results indicate that the following performance during treatment was cause for concern, indicating a need to modify the treatment: naming 0–1 treated words correctly at Naming Test 1; naming 0–2 treated words correctly at Naming Test 2; naming 0–3 treated words correctly at Naming Test 3. In addition, the results showed that encoding was the primary limiting factor in word learning, but memory evolution also contributed (albeit to a lesser degree) to word learning success. Conclusion Case illustrations demonstrate how a clinician's understanding of a child's word learning strengths and weaknesses develop over the course of treatment, substantiating the importance of regular data collection and clinical decision-making to ensure the best possible outcomes for each individual child.

The goal of this research was to disentangle effects of phonotactic probability, the likelihood of occurrence of a sound sequence, and neighborhood density, the number of phonologically similar words, in lexical acquisition. Two word learning experiments were conducted with 4-year-old children. Experiment 1 manipulated phonotactic probability while holding neighborhood density and referent characteristics constant. Experiment 2 manipulated neighborhood density while holding phonotactic probability and referent characteristics constant. Learning was tested at two time points (immediate vs. retention) in both a naming and referent identification task, although only data from the referent identification task were analyzed due to poor performance in the naming task. Results showed that children were more accurate learning rare sound sequences than common sound sequences and this was consistent across time points. In contrast, the effect of neighborhood density varied by time. Children were more accurate learning sparse sound sequences than dense sound sequences at the immediate test point but accuracy for dense sound sequences significantly improved by the retention test without further training. It was hypothesized that phonotactic probability and neighborhood density influenced different cognitive processes that underlie lexical acquisition.

Stoel-Gammon (this issue) states that ‘from birth to age 2 ; 6, the developing phonological system affects lexical acquisition to a greater degree than lexical factors affect phonological development’ (this issue). This conclusion is based on a wealth of data; however, the available data are somewhat limited in scope, focusing on rather holistic measures of the phonological and lexical systems (e.g. production accuracy, number of words known). Stoel-Gammon suggests a number of important avenues to pursue, but does not discuss a critical one that is emerging in the broader literature on word learning. Specifically, recent connectionist models and adult word learning research provide evidence that greater differentiation of the cognitive processes that underlie word learning yields new insights (Leach & Samuel, 2007). This approach may be fruitful for future investigations of the relationship between phonological and lexical development in young children.

An online calculator was developed (www.bncdnet.ku.edu/cml/info_ccc.vi) to compute phonotactic probability--the likelihood of occurrence of a sound sequence--and neighborhood density--the number of phonologically similar words--on the basis of child corpora of American English (Kolson, 1960; Moe, Hopkins,Rush, 1982) and to compare its results to those of an adult calculator. Phonotactic probability and neighborhood density were computed for a set of 380 nouns (Fenson et al., 1993) using both the child and adult corpora. The child and adult raw values were significantly correlated. However, significant differences were detected. Specifically, child phonotactic probability was higher than adult phonotactic probability, especially for high-probability words, and child neighborhood density was lower than adult neighborhood density, especially for words with high-density neighborhoods. These differences were reduced or eliminated when relative measures (i.e., z scores) were used. Suggestions are offered regarding which values to use in future research.

This study examined the ability of 20 preschool children with functional phonological delays and 34 age- and vocabulary-matched typical children to learn words differing in phonotactic probability (i.e., the likelihood of occurrence of a sound sequence) and neighborhood density (i.e., the number of words that differ from a target by one phoneme). Children were exposed to nonwords paired with novel objects in a story and learning was measured by a picture naming task. Results showed that both groups created lexical representations for rare sound sequences from sparse neighborhoods. However, only children with typical development appeared to build on this initial lexical representation to create a full representation of the word (i.e., lexical–semantic connection and semantic representation). It was hypothesized that creating a lexical representation may be too resource demanding for children with phonological delays, leaving few resources available to create a lexical–semantic connection and/or a semantic representation. Learning outcomes: The reader will be able to (1) define phonotactic probability; (2) define neighborhood density; (3) identify how these variables impact the word learning process in general; (4) identify potential areas of deficit in the word learning process for children with functional phonological delays.

Purpose The purpose was to determine the number of semantic neighbors, namely, semantic set size, for 88 nonobjects (J. F. Kroll & M. C. Potter, 1984) and determine how semantic set size related to other measures and age. Method Data were collected from 82 adults and 92 preschool children in a discrete association task. The nonobjects were presented via computer, and participants reported the first word that came to mind that was meaningfully related to the nonobject. Words reported by 2 or more participants were considered semantic neighbors. The strength of each neighbor was computed as the proportion of participants who reported the neighbor. All data are provided online in a Microsoft Excel file accompanying this article (the data file can be found accompanying this article online at http://jslhr.asha.org ). Results Results showed that semantic set size was not significantly correlated with objectlikeness ratings or object decision reaction times from J. F. Kroll and M. C. Potter (1984). However, semantic set size was significantly negatively correlated with the strength of the strongest neighbor(s). In terms of age effects, adult and child semantic set sizes were significantly positively correlated and the majority of numeric differences were on the order of 0–3 neighbors. Comparison of actual neighbors showed greater discrepancies; however, this varied by neighbor strength. Conclusions Semantic set size can be determined for nonobjects. Specific guidelines are suggested for using these nonobjects in future research. Supplemental Material https://doi.org/10.23641/asha.6170342

Purpose This study investigated a new intervention package aimed at increasing expressive word learning by school-age children with autism who have limited expressive vocabularies. This pilot investigation was intended to show proof of concept. Method Ten children between the ages of 6 and 10 years participated, with educational diagnoses of autism and limited expressive vocabularies at the outset of the study. A multimodal intervention composed of speech sound practice and augmentative and alternative communication was used to teach individualized vocabulary words that were selected on the basis of initial speech sound repertoires and principles of phonotactic probability and neighborhood density. A multiple-probe design was used to evaluate learning outcomes. Results Five children showed gains in spoken-word learning across successive word sets (high responders). Five children did not meet learning criteria (low responders). Comparisons of behaviors measured prior to intervention indicated that high responders had relatively higher skills in receptive language, prelinguistic communication, vocal/verbal imitation, adaptive behavior, and consonant productions. Conclusions The intervention package holds promise for improving spoken word productions for some children with autism who have limited expressive vocabularies. Further research is needed to better describe who may most benefit from this approach as well as investigate generalized benefits to untaught contexts and targets.

The current study attempts to differentiate effects of phonotactic probability (i.e. the likelihood of occurrence of a sound sequence), neighbourhood density (i.e. the number of phonologically similar words), word frequency, and word length on expressive vocabulary development by young children. Naturalistic conversational samples for three children (age 1;4–3;1) were obtained from CHILDES. In a backward regression analysis, phonotactic probability, neighbourhood density, word frequency, and word length were entered as possible predictors of ages of first production of words for each child. Results showed that the factors affecting first production of words varied across children and across word types. Specifically, word length affected ages of first production for all three children, whereas the other three variables affected only one child each. The implications of these findings for models of expressive vocabulary development are discussed.

This study compares homonym learning to novel word learning by three- to four-year-old children to determine whether homonyms are learned more rapidly or more slowly than novel words. In addition, the role of form characteristics in homonym learning is examined by manipulating phonotactic probability and word frequency. Thirty-two children were exposed to homonyms and novel words in a story with visual support and learning was measured in two tasks: referent identification; picture naming. Results showed that responses to homonyms were as accurate as responses to novel words in the referent identification task. In contrast, responses to homonyms were more accurate than responses to novel words in the picture-naming task. Furthermore, homonyms composed of common sound sequences were named more accurately than those composed of rare sound sequences. The influence of word frequency was less straightforward. These results may be inconsistent with a one-to-one form–referent bias in word learning.

This is the author's accepted manuscript. The original is available at http://sig1perspectives.pubs.asha.org/article.aspx?articleid=1761201

The effects of phonotactic constraints (i.e., the status of a sound as correctly or incorrectly articulated) and phonotactic probability (i.e., the likelihood of a sound sequence) on lexical acquisition have been investigated independently. This study investigated the interactive influence of phonotactic constraints and phonotactic probability on lexical acquisition in 3 groups of children: children with functional phonological delays (PD), phonology-matched, younger, typically developing children (PM), and age-/vocabulary-matched typically developing peers (AVM). Sixty-eight children participated in a multitrial word-learning task involving nonwords varying in phonotactic constraints (IN vs. OUT) and phonotactic probability (common vs. rare). Correct and error responses were analyzed. Results indicated that OUT sound sequences were learned more rapidly than IN sound sequences. This suggests that OUT sounds may be salient because they represent only a small subset of the child's sound system. The effect of phonotactic probability varied across groups: Children with PD showed a common sound sequence disadvantage, younger PM children showed a common sound sequence advantage, and AVM children showed no effect. Moreover, error analyses indicated that children with PD had particular difficulty creating lexical representations and associations between lexical and semantic representations when learning common sound sequences. Children with PD may rely more heavily on lexical representations to learn new words or may have difficulty learning common sound sequences because of the high degree of similarity between these sequences and other known words. Finally, the effect of phonotactic probability was consistent across IN and OUT sound sequences, suggesting that the lexical representation of both correctly articulated and misarticulated words is based on the adult-target pronunciation.

This study tests the claim that children acquire collections of phonologically similar word forms, namely, dense neighborhoods. Age of acquisition (AoA) norms were obtained from two databases: parent report of infant and toddler production and adult self-ratings of AoA. Neighborhood density, word frequency, word length, Density×Frequency and Density×Length were analyzed as potential predictors of AoA using linear regression. Early acquired words were higher in density, higher in word frequency, and shorter in length than late acquired words. Significant interactions provided evidence that the lexical factors predicting AoA varied, depending on the type of word being learned. The implication of these findings for lexical acquisition and language learning are discussed.

This is the author’s accepted manuscript. Copyright 2011 in The Handbook of psycholinguistic & cognitive processes: Perspectives in communication disorders by Holly L. Storkel. Reproduced by permission of Taylor and Francis Group, LLC, a division of Informa plc. This material is strictly for personal use only. For any other use, the user must contact Taylor & Francis directly at this address: permissions.mailbox@taylorandfrancis.com. Printing, photocopying, sharing via any means is a violation of copyright.

Previous evidence suggests that the structure of similarity neighbourhoods in the developing mental lexicon may differ from that of the fully developed lexicon. The similarity relationships used to organize words into neighbourhoods was investigated in 20 pre-school children (age 3;7 to 5;11) using a two alternative forced-choice classification task. Children classified the similarity of test words relative to a standard word to determine neighbourhood membership. The similarity relationship between the test and standard words varied orthogonally in terms of type of similarity and position of overlap. Standard words were drawn from neighbourhoods differing in density. Results showed that dense neighbourhoods were organized by phoneme similarity in the onset+nucleus or rhyme positions of overlap. In contrast, sparse neighbourhoods appeared to be organized by phoneme similarity in the onset+nucleus, but manner similarity in the rhyme. These results are integrated with previous findings from infants and adults to propose a developmental course of change in the mental lexicon.

Previous studies showed that a new word that is similar to many known words will be learned better than a new word that is similar to few known words (Storkel et al., 2006). In the present study we created novel words that were phonological neighbors to lexical hermits-or known words that do not have any phonological neighbors-that varied in frequency of occurrence. After several exposures, participants learned a higher proportion of novel words that were neighbors of high frequency known-words than nonwords that were neighbors of low frequency known-words. The present results have implications for abstractionist versus exemplar models of the mental lexicon and language processing, as well as for accounts of word frequency in models of language processing.

The effect of probabilistic phonotactics on lexical acquisition in typically developing children was examined to determine whether a lexical or sublexical level of language processing dominates lexical acquisition. Sixty-one normally achieving 7, 10, and 13 year-old children participated in a word learning task, involving non-words of varying probabilistic phonotactics. Non-words were presented in a lecture format and recognition memory was tested following a 7 minute filled delay. Results showed that 10 and 13 year-old children recognized more high probability non-words than low probability non-words. In contrast, 7 year-old children showed no consistent effect of probabilistic phonotactics on lexical acquisition. These findings suggest that the sublexical level of processing dominates word learning during the initial phases in older children. This, in turn, raises questions about the mental representations of words and the effect of phonological knowledge on lexical acquisition in young children. Implic...

This investigation examined the phonologic similarity effect among individuals with aphasia (APH), with aphasia and apraxia of speech (APH/AOS) and normal controls (NC). Participants repeatedly produced pairs of rhyming words that contrasted with respect to the featural similarity of their onsets (i.e. shared voicing and manner, shared place and manner, no shared features). Rogers and Storkel (1998) used similar word pairs, but presented them one at a time, ostensibly requiring reprogramming of pre-motor processing buffers whenever a novel word was presented. They found that phonologic similarity delayed naming. In the present investigation, a parameter remapping task was used in which both words in the pair were presented before speakers began the rapid serial productions, thus alleviating the need to reprogram the processing buffer between the first and second word. Two measures of inter-word interval duration were obtained. The APH and NC groups showed no differences in inter-word interval length betwe...

The effects of phonologic similarity on speech production latencies were investigated to explore the role of articulatory phonetic features and reprogramming operations during pre-motor stages of production. A form-based priming technique was used in five experiments to elicit rapid productions of single words. Subjects responded to visually presented pairs of minimally contrastive monosyllabic words, which varied with respect to the phonetic featural similarity of their onsets. Factors that were systematically manipulated across experiments included stimulus set size, duration of the interstimulus interval, and the use of feedback to subjects concerning their response latencies. Speech onset latencies obtained in a control condition in which no phonetic features were shared were compared to four other conditions in which the word initial phonemes of prime-target pairs did share features. Results revealed that shared manner was the most influential factor associated with the observed inhibitory phonologic similarity effect. In addition, smaller stimulus set size (6 words) yielded significantly slower overall response latencies than experiments employing larger stimulus sets (18 words). These findings suggested that inhibitory phonologic similarity effects did not stem from biomechanical constraints imposed by the articulatory system. Rather the methods employed in this investigation were supported as a means to investigate both the underlying units of representation and the processes involved in pre-motor planning apart from articulatory effects. The results of this investigation also supported the hypothesis that, during phonologic encoding, word form retrieval entails the selection and assembly of sublexical units into word form frames. No evidence of whole word retrieval during pre-motor encoding was obtained. The potential utility of this experimental paradigm in the investigation of pre-motor planning in disorders that putatively affect the processes involved in transforming word meaning into word form is also discussed.

It has been hypothesized that known words in the lexicon strengthen newly formed representations of novel words, resulting in words with dense neighborhoods being learned more quickly than words with sparse neighborhoods. Tests of this hypothesis in a connectionist network showed that words with dense neighborhoods were learned better than words with sparse neighborhoods when the network was exposed to the words all at once (Experiment 1), or gradually over time, like human word-learners (Experiment 2). This pattern was also observed despite variation in the availability of processing resources in the networks (Experiment 3). A learning advantage for words with sparse neighborhoods was observed only when the network was initially exposed to words with sparse neighborhoods and exposed to dense neighborhoods later in training (Experiment 4). The benefits of computational experiments for increasing our understanding of language processes and for the treatment of language processing disorders are discussed.

Two experiments examined the effects of phonotactic probability and neighborhood density on word learning by 3-, 4-, and 5-year-old children. Nonwords orthogonally varying in probability and density were taught with learning and retention measured via picture naming. Experiment 1 used a within story probability/across story density exposure context. Experiment 2 used an across story probability/within story density exposure context. Results showed that probability and density interacted to create optimal learning conditions. Specifically, rare/sparse sound sequences appeared to facilitate triggering of word learning. In contrast, the optimal convergence for lexical configuration and engagement was dependent on exposure context. In particular, common sound sequences and dense neighborhoods were optimal when density was manipulated across stories, whereas rare sound sequences and sparse neighborhoods were optimal when density was manipulated within a story. Taken together, children’s phonological and lexical representations were hypothesized to be interdependent on one another resulting in a convergence of form characteristics for optimal word learning.

Purpose To differentiate the effect of phonotactic probability from that of neighborhood density on a vocabulary probe administered to preschool children with or without phonological delays. Method Twenty preschool children with functional phonological delays and 34 preschool children with typical language development completed a 121-item vocabulary probe in both an expressive and receptive response format. Words on the vocabulary probe orthogonally varied on phonotactic probability and neighborhood density but were matched on age of acquisition, word frequency, word length, semantic set size, concreteness, familiarity, and imagability. Results Results show a Phonotactic Probability × Neighborhood Density interaction with variation across groups. Specifically, the optimal conditions for typically developing children were rare phonotactic probability with sparse neighborhoods and common phonotactic probability with dense neighborhoods. In contrast, only rare phonotactic probability with sparse neighborhoods was optimal for children with phonological delays. Conclusions Rare sound sequences and sparse neighborhoods may facilitate triggering of word learning for typically developing children and children with phonological delays. In contrast, common sound sequences and dense neighborhoods may facilitate configuration and engagement for typically developing children but not for children with phonological delays because of their weaker phonological and/or lexical representations.