Comparing apples to manzanas and oranges to naranjas: A new measure of English-Spanish vocabulary for dual language learners.

The valid assessment of vocabulary development in dual-language-learning infants is critical to developmental science. We developed the Dual Language Learners English-Spanish (DLL-ES) Inventories to measure vocabularies of U.S. English-Spanish DLLs. The inventories provide translation equivalents for all Spanish and English items on Communicative Development Inventory (CDI) short forms; extended inventories based on CDI long forms; and Spanish language-variety options. Item-Response Theory analyses applied to Wordbank and Web-CDI data (n = 2603, 12-18 months; n = 6722, 16-36 months; half female; 1% Asian, 3% Black, 2% Hispanic, 30% White, 64% unknown) showed near-perfect associations between DLL-ES and CDI long-form scores. Interviews with 10 Hispanic mothers of 18- to 24-month-olds (2 White, 1 Black, 7 multi-racial; 6 female) provide a proof of concept for the value of the DLL-ES for assessing the vocabularies of DLLs.

TBIBank: An International Shared Database to Enhance Research, Teaching and Automated Language Analysis for Traumatic Brain Injury Populations.

Traumatic brain injury (TBI) has been established as a priority research area for public health, affecting an estimated 69 million individuals worldwide each year. Large-scale collaborative datasets may help to better understand this heterogenous and chronic health condition. In this paper, we present TBIBank; an innovative digital health resource that aims to establish a shared database for the study of communication disorders after TBI. We provide an overview of the current database, the standard discourse protocol used for the main TBIBank corpus, and the automated language analyses that can enable diagnostic profiling, comparative evaluation of treatment effects and profiling of recovery patterns. We also highlight the e-learning component of the digital health resource as a research translation tool. We conclude with a discussion of the potential research, clinical, and educational applications of TBIBank and future directions for expanding this digital resource.

Communication and Psychosocial Outcomes 2-Years After Severe Traumatic Brain Injury: Development of a Prognostic Model.

OBJECTIVE: To examine predictive factors underlying communication and psychosocial outcomes at 2 years post-injury. Prognosis of communication and psychosocial outcomes after severe traumatic brain injury (TBI) is largely unknown yet is relevant for clinical service provision, resource allocation, and managing patient and family expectations for recovery. DESIGN: A prospective longitudinal inception design was employed with assessments at 3 months, 6 months, and 2 years. PARTICIPANTS: The cohort included 57 participants with severe TBI (N=57). SETTING: Subacute and post-acute rehabilitation. MAIN OUTCOME MEASURES: Preinjury/injury measures included age, sex, education years, Glasgow Coma Scale, and PTA. The 3-month and 6-month data points included speech, language, and communication measures across the ICF domains and measures of cognition. The 2-year outcome measures included conversation, perceived communication skills, and psychosocial functioning. Predictors were examined using multiple regression. INTERVENTIONS: Not applicable. RESULTS: The cognitive and communication measures at 6 months significantly predicted conversation measures at 2 years and psychosocial functioning as reported by others at 2 years. At 6 months, 69% of participants presented with a cognitive-communication disorder (Functional Assessment of Verbal Reasoning and Executive Strategies [FAVRES]). The unique variance accounted for by the FAVRES measure was 7% for conversation measures and 9% for psychosocial functioning. Psychosocial functioning at 2 years was also predicted by pre-injury/injury factors and 3-month communication measures. Pre-injury education level was a unique predictor, accounting for 17% of the variance, and processing speed/memory at 3 months uniquely accounted for 14% of the variance. CONCLUSION: Cognitive-communication skills at 6 months are a potent predictor of persisting communication challenges and poor psychosocial outcomes up to 2 years after a severe TBI. Findings emphasize the importance of addressing modifiable cognitive and communication outcomes variables during the first 2 years after severe TBI to maximize functional patient outcomes.

The Development and Implementation of A Data Repository for Swallow Studies.

PURPOSE: The purpose of this clinical note is to (a) describe the development of an open-source data repository of videofluoroscopic evaluations of swallow studies (VFSS) from individuals across the lifespan with various feeding and swallowing disorders, and (b) to qualitatively assess the usefulness of a repository to engage students in research in swallowing disorders. METHOD: This project was divided into two phases. Phase 1 focused on the development of the repository. This entailed identifying videos, removing private information, developing codes for swallow events and bolus variables, transcribing videos, and uploading them to a publicly available site for easy access. Phase 2 assessed the usefulness of the repository as a research tool. In this phase, a group of graduate and undergraduate students investigated a research question of interest to them. Each phase incorporated a qualitative analysis to examine the challenges encountered in that given phase. RESULTS: An open-source data repository of swallow studies, called DysphagiaBank, was successfully developed and uploaded into the TalkBank data repository. The database was easily employed by both graduate and undergraduates to engage in research in a timely fashion. Across qualitative analysis, the single consistent barrier to success was the COVID-19 pandemic that impacted access to campus and adequate internet for streaming. CONCLUSION: The use of an open-source data repository improved our students abilities to engage in research and enhanced their understanding of swallow physiology across the lifespan.

Patterns of narrative discourse in early recovery following severe Traumatic Brain Injury.

Primary Objective: To investigate the nature and patterns of narrative discourse impairment in people with severe Traumatic Brain Injury (TBI) during early recovery.Methods and Procedures: A single image picture description task was administered to 42 participants with severe TBI at 3 and 6-months post-injury. The same task was administered to 37 control participants. Discourse samples were analyzed with measures of productivity, informativeness and story organization. The performance of people with TBI was compared with the control group at both 3 and 6 months, and the performance of the participants with TBI was also compared across the two time points. Individual patterns of performance were also examined.Results: Inferential analyses revealed significant differences between the control group and the group with TBI on informativeness at both time points and  number of complete episodes at 3 months, but no significant differences for productivity measures. There was no significant change for the group with TBI between 3 and 6 months. However, individual improvement over time was observed.Conclusions: People with TBI have discourse difficulties early post TBI that are also present at 6-months post-injury. In order to understand longer-term discourse recovery, it is necessary to examine participant patterns over further time points on this narrative task.

Using AphasiaBank for Discourse Assessment.

AphasiaBank is a shared, multimedia database for the study of communication in aphasia. This article describes a variety of discourse measurement tools and teaching resources available at the AphasiaBank website. The discourse measurement tools include main concept analysis, core lexicon checklists, correct information unit computation techniques, and other automated analyses using the CLAN program. These tools can be used to measure a variety of aspects of language production for assessment as well as treatment evaluation and clinical research purposes. Importantly, they are intended to help make the discourse analysis process more efficient and reliable. Teaching resources include an online tutorial on aphasia, videos of typical behaviors seen in aphasia, group treatment videos, classroom activities, tutorial screencasts, and conference posters. These resources can be used for a variety of clinical and educational purposes. The AphasiaBank website is part of the larger TalkBank project which provides many other shared databases and resources that are relevant to professionals interested in communication and communication disorders.

Discourse recovery after severe traumatic brain injury: exploring the first year.

OBJECTIVES: Although much is known about discourse impairment, little is known about discourse recovery after severe traumatic brain injury (TBI). This paper explores discourse recovery across the critical first year, controlling for pre-injury, injury and post-injury variables. DESIGN AND METHODS: An inception cohort comprising 57 participants with severe TBI was examined at 3, 6, 9 and 12 months post-injury and compared to a cross-section of matched healthy control participants. A narrative discourse task was analyzed with main concept analysis (MCA). A mixed linear model approach was used to track recovery controlling for pre-injury, injury and post-injury variables. RESULTS: An upward trajectory of recovery was observed, with peak periods of improvement between 3-6 and 9-12 months and all time points were significantly below controls. Years of education and PTA duration were significant covariates in the recovery model. Presence of aphasia also influenced the recovery model. CONCLUSIONS: Individuals with TBI typically improve over the first year, however many will continue to have discourse deficits at 12 months. Years of education, PTA duration and aphasia should be considered when planning services. The 3-6- and 9-12-month periods may offer optimal periods for discourse recovery and increased supports may be beneficial between 6-9 months.

Patterns of early conversational recovery for people with traumatic brain injury and their communication partners.

PRIMARY OBJECTIVE: To investigate whether the degree of participation by people with severe Traumatic Brain Injury (TBI), and the degree of support by their communication partners (CPs) changes in conversation during subacute recovery. METHODS AND PROCEDURES: Seventeen pairs of participants with TBI and their CPs were video-recorded during a 10 min casual conversation at 3 and 6 months post-injury. Communication behaviors were rated using the adapted Measure of Participation in Conversation (MPC) and the adapted Measure of Support in Conversation (MSC) at both time points and compared. RESULTS: Inferential analyses showed that there was no significant change in the degree of participation in conversation by participants with TBI and the degree of conversation support by their CPs from 3 to 6 months post. Comparison of qualitative field notes revealed that specific conversational behaviors changed over time, including better turn-taking and topic maintenance. CONCLUSION: Documenting early communication recovery is a complex and challenging endeavor. The lack of change in conversational effectiveness during the sub-acute period using global rating scales highlights the need for social communication tools that are sensitive to communication recovery following severe TBI.

Understanding spoken language through TalkBank.

Ongoing advances in computer technology have opened up a deluge of new datasets for understanding human behavior (Goldstone & Lupyan, 2016). Many of these datasets provide information on the use of written language. However, data on naturally occurring spoken-language conversations are much more difficult to obtain. A major exception to this is the TalkBank system, which provides online multimedia data for 14 types of spoken-language data: language in aphasia, child language, stuttering, child phonology, autism spectrum disorder, bilingualism, Conversation Analysis, classroom discourse, dementia, right hemisphere damage, Danish conversation, second language learning, traumatic brain injury, and daylong recordings in the home. The present report reviews these resources and describes the ways they are being used to further our understanding of human language and communication.

Procedural discourse performance in adults with severe traumatic brain injury at 3 and 6 months post injury.

BACKGROUND: There is limited research on communicative recovery during the early stages after a severe traumatic brain injury (TBI) in adults. METHODS AND PROCEDURES: In the current study 43 people with severe TBI described a simple procedure at 3 and 6 months post injury and this was compared to the description provided by 37 healthy speakers. Linguistic productivity and the presence of macrostructural discourse elements were analysed. MAIN OUTCOMES AND RESULTS: No change occurred in productivity in the TBI group between the two time points. There was increased use of relevant information (macrostructure) over time for the TBI group, reflecting improvement. People with TBI differed from controls in speech rate and in two out of three macrostructural categories at both time points, indicating difficulties even after 12 weeks of recovery. CONCLUSIONS: Overall, the quality, rather than the quantity of discourse was disordered for participants with TBI. Findings indicate that procedural discourse is sensitive to discourse deficits of people with TBI and can be used to map recovery during the sub-acute phase.

Conversational topics discussed by individuals with severe traumatic brain injury and their communication partners during sub-acute recovery.

PRIMARY OBJECTIVE: To investigate the nature and patterns of conversational topics discussed by individuals with severe TBI and familiar communication partners at 3 and 6 months post-injury, and to examine changes occurring in conversational topics during sub-acute recovery. RESEARCH DESIGN: Qualitative content analysis was used to explore the nature of topics and generate conversational themes. Topic analysis provided an understanding of conversational topic management by identifying patterns of topic initiation and maintenance. METHODS: Twenty-two people with severe TBI and a familiar communication partner engaged in a 10-minute casual conversation on self-selected topics at 3 and 6 months post-injury. MAIN OUTCOMES AND RESULTS: Three main conversational themes were identified: connecting; re-engaging; and impacts of injury. The nature of topics related to these themes changed over time to reflect participants' sub-acute rehabilitation experiences. Most conversational dyads maintained similar conversational and topic patterns during sub-acute recovery. CONCLUSIONS: Qualitative analysis provides a new insight into the conversational topics of individuals with severe TBI. Many participants engaged in appropriate conversations and discussed mutually important topics with familiar communication partners. Findings may inform speech-language pathology intervention in sub-acute recovery to improve conversational discourse abilities of individuals with severe TBI and support their communication partners.

AphasiaBank as BigData.

AphasiaBank has used a standardized protocol to collect narrative, procedural, personal, and descriptive discourse from 290 persons with aphasia, as well as 190 control participants. These data have been transcribed in the Codes for the Human Analysis of Transcripts (CHAT) format for analysis by the Computerized Language Analysis (CLAN) programs. Here, we review results from 45 studies based on these data that investigate aphasic productions in terms of these eight areas: discourse, grammar, lexicon, gesture, fluency, syndrome classification, social factors, and treatment effects. For each area, we also indicate how use of the CLAN programs has facilitated the analysis. We conclude with an examination of ways in which the size of the database could be increased through on-site recordings and data from teletherapy.

Child Language Data Exchange System Tools for Clinical Analysis.

The Child Language Data Exchange System Project has developed methods for analyzing many aspects of child language development, including grammar, lexicon, discourse, gesture, phonology, and fluency. This article will describe the methods available for each of these six fields, and how they can be used for assessment in the clinical setting.

Your Laptop to the Rescue: Using the Child Language Data Exchange System Archive and CLAN Utilities to Improve Child Language Sample Analysis.

In this article, we review the advantages of language sample analysis (LSA) and explain how clinicians can make the process of LSA faster, easier, more accurate, and more insightful than LSA done "by hand" by using free, available software programs such as Computerized Language Analysis (CLAN). We demonstrate the utility of CLAN analysis in studying the expressive language of a very large cohort of 24-month-old toddlers tracked in a recent longitudinal study; toddlers in particular are the most likely group to receive LSA by clinicians, but existing reference "norms" for this population are based on fairly small cohorts of children. Finally, we demonstrate how a CLAN utility such as KidEval can now extract potential normative data from the very large number of corpora now available for English and other languages at the Child Language Data Exchange System project site. Most of the LSA measures that we studied appear to show developmental profiles suggesting that they may be of specifically higher value for children at certain ages, because they do not show an even developmental trajectory from 2 to 7 years of age.

HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings.

HomeBank is introduced here. It is a public, permanent, extensible, online database of daylong audio recorded in naturalistic environments. HomeBank serves two primary purposes. First, it is a repository for raw audio and associated files: one database requires special permissions, and another redacted database allows unrestricted public access. Associated files include metadata such as participant demographics and clinical diagnostics, automated annotations, and human-generated transcriptions and annotations. Many recordings use the child-perspective LENA recorders (LENA Research Foundation, Boulder, Colorado, United States), but various recordings and metadata can be accommodated. The HomeBank database can have both vetted and unvetted recordings, with different levels of accessibility. Additionally, HomeBank is an open repository for processing and analysis tools for HomeBank or similar data sets. HomeBank is flexible for users and contributors, making primary data available to researchers, especially those in child development, linguistics, and audio engineering. HomeBank facilitates researchers' access to large-scale data and tools, linking the acoustic, auditory, and linguistic characteristics of children's environments with a variety of variables including socioeconomic status, family characteristics, language trajectories, and disorders. Automated processing applied to daylong home audio recordings is now becoming widely used in early intervention initiatives, helping parents to provide richer speech input to at-risk children.

Expanding the emergentist Account:Reply to open peer commentaries.

Emergentism provides a framework for understanding how language learning processes vary across developmental age and linguistic levels, as shaped by core mechanisms and constraints from cognition, entrenchment, input, transfer, social support, motivation, and neurology. As our commentators all agree, this landscape is marked by intense variability arising from the complexity. These mechanisms interact in collaborative and competitive ways during actual moments of language use. To better understand these interactions and their effects, we need much richer longitudinal data regarding both input and output during actual contexts of usage. We believe that modern technology can eventually provide this data (Flege & Bohn, 2021) in ways that will allow us to more fully populate an emergent landscape.

An Overview of the ADReSS-M Signal Processing Grand Challenge on Multilingual Alzheimer's Dementia Recognition Through Spontaneous Speech.

The ADReSS-M Signal Processing Grand Challenge was held at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023. The challenge targeted difficult automatic prediction problems of great societal and medical relevance, namely, the detection of Alzheimer's Dementia (AD) and the estimation of cognitive test scoress. Participants were invited to create models for the assessment of cognitive function based on spontaneous speech data. Most of these models employed signal processing and machine learning methods. The ADReSS-M challenge was designed to assess the extent to which predictive models built based on speech in one language generalise to another language. The language data compiled and made available for ADReSS-M comprised English, for model training, and Greek, for model testing and validation. To the best of our knowledge no previous shared research task investigated acoustic features of the speech signal or linguistic characteristics in the context of multilingual AD detection. This paper describes the context of the ADReSS-M challenge, its data sets, its predictive tasks, the evaluation methodology we employed, our baseline models and results, and the top five submissions. The paper concludes with a summary discussion of the ADReSS-M results, and our critical assessment of the future outlook in this field.

Automated Analysis of Fluency Behaviors in Aphasia.

PURPOSE: This study explored the use of an automated language analysis tool, FLUCALC, for measuring fluency in aphasia. The purpose was to determine whether CLAN's FLUCALC command could produce efficient, objective outcome measures for salient aspects of fluency in aphasia. METHOD: The FLUCALC command was used on CHAT transcripts of Cinderella stories from people with aphasia (PWA; n = 281) and controls (n = 257) in the AphasiaBank database. RESULTS: PWA produced significantly fewer total words, fewer words per minute, more pausing, more repetitions, more revisions, and more phonological fragments than controls, with only one exception: The Wernicke's group was similar to the control group in percentage of filled pauses. Individuals with Broca's aphasia had significantly longer inter-utterance pauses and fewer total words than all other aphasia groups. Both the Broca's and conduction aphasia groups had higher percentages of phrase repetitions than the NABW (NotAphasicByWAB) group. The conduction aphasia group also had a higher percentage of phrase revisions than the NABW and the anomic aphasia groups. Principal components analysis revealed two principal components that accounted for around 60% of the variance and related to quantity of output, rate of speech, and quality of output. The Gaussian mixture models showed that the participants clustered in three groups, which corresponded predominantly to the controls, the nonfluent aphasia group, and the remaining aphasia groups (all classically fluent aphasia types). CONCLUSIONS: FLUCALC is an efficient way to measure objective fluency behaviors in language samples in aphasia. Automated analyses of objective fluency behaviors on large samples of adults with and without aphasia can produce measures that can be used by researchers and clinicians to better understand and track salient aspects of fluency in aphasia. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.25979863.

The Hebrew CHILDES corpus: transcription and morphological analysis.

We present a corpus of transcribed spoken Hebrew that reflects spoken interactions between children and adults. The corpus is an integral part of the CHILDES database, which distributes similar corpora for over 25 languages. We introduce a dedicated transcription scheme for the spoken Hebrew data that is sensitive to both the phonology and the standard orthography of the language. We also introduce a morphological analyzer that was specifically developed for this corpus. The analyzer adequately covers the entire corpus, producing detailed correct analyses for all tokens. Evaluation on a new corpus reveals high coverage as well. Finally, we describe a morphological disambiguation module that selects the correct analysis of each token in context. The result is a high-quality morphologically-annotated CHILDES corpus of Hebrew, along with a set of tools that can be applied to new corpora.