Academic literature on the topic 'Systematic analysis of language transcripts (SALT)'

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Journal articles on the topic "Systematic analysis of language transcripts (SALT)"

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Savaldi-Harussi, Gat, and Gloria Soto. "Using SALT: Considerations for the Analysis of Language Transcripts of Children Who Use SGDs." Perspectives of the ASHA Special Interest Groups 1, no. 12 (2016): 110–24. http://dx.doi.org/10.1044/persp1.sig12.110.

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This paper exemplifies the process we used to customize the Systematic Analysis of Language Transcripts (SALT) software to monitor a wide range of language measures for children who use high-tech speech-generating devices (SGDs) when taking into consideration two main characteristics of aided communication: multimodality and co-constructed interaction structure. General considerations relevant to Language Sampling and Analysis (LSA) and examples of their applications are described in conversations between young aided speakers (child) and natural speakers (adult) and include the following stages: (a) eliciting and videotaping a representative sample of the child's language; (b) transcribing verbatim the language sample according to SALT conventions and modifications; and (c) analyzing the language sample with the common SALT commands and new variables (codes) measures. Our findings suggest that SALT software can be easily adapted and used as a tool for augmentative and alternative communication (AAC) evidence-based practice.
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Weston, Audrey D., Lawrence D. Shriberg, and Jon F. Miller. "Analysis of Language-Speech Samples with Salt and Pepper." Journal of Speech, Language, and Hearing Research 32, no. 4 (1989): 755–66. http://dx.doi.org/10.1044/jshr.3204.755.

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Microcomputer-aided analysis of spontaneous language-speech samples offers researchers an efficient means of analyzing large amounts of data. It may be necessary, however, to format samples for more than one software program in order to obtain comprehensive morpho-syntactic and phonetic/phonologic analyses. This paper suggests a procedure for the combined use of SALT (Systematic Analysis of Language Transcripts, Miller & Chapman, 1985) and PEPPER (Programs to Examine Phonetic and Phonologic Evaluation Records, Shriberg, 1986) that is designed to minimize the duplication of effort involved in following two different formatting procedures. Results of a study undertaken to explore methodological issues in the combined use of SALT and PEPPER generally support the validity, reliability, and efficiency of the procedure. Results also raise some issues concerning the use of narrow phonetic transcription as opposed to standard orthographic transcription of continuous language-speech samples.
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Miller, Jon F., Karen Andriacchi, and Ann Nockerts. "Using Language Sample Analysis to Assess Spoken Language Production in Adolescents." Language, Speech, and Hearing Services in Schools 47, no. 2 (2016): 99–112. http://dx.doi.org/10.1044/2015_lshss-15-0051.

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Purpose This tutorial discusses the importance of language sample analysis and how Systematic Analysis of Language Transcripts (SALT) software can be used to simplify the process and effectively assess the spoken language production of adolescents. Method Over the past 30 years, thousands of language samples have been collected from typical speakers, aged 3–18 years, in conversational and narrative contexts. These samples have been formatted as reference databases included with SALT. Using the SALT software, individual samples are compared with age- and grade-matched samples selected from these databases. Results Two case studies illustrate that comparison with database samples of typical adolescents, matched by grade and elicitation context, highlights language measures that are higher or lower than the database mean values. Differences in values are measured in standard deviations. Conclusion Language sample analysis remains a powerful method of documenting language use in everyday speaking situations. A sample of talking reveals an individual's ability to meet specific speaking demands. These demands vary across contexts, and speakers can have difficulty in any one or all of these communication tasks. Language use for spoken communication is a foundation for literacy attainment and contributes to success in navigating relationships for school, work, and community participation.
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Jacobson, Peggy F., and Patrick R. Walden. "Lexical Diversity and Omission Errors as Predictors of Language Ability in the Narratives of Sequential Spanish–English Bilinguals: A Cross-Language Comparison." American Journal of Speech-Language Pathology 22, no. 3 (2013): 554–65. http://dx.doi.org/10.1044/1058-0360(2013/11-0055).

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Purpose This study explored the utility of language sample analysis for evaluating language ability in school-age Spanish–English sequential bilingual children. Specifically, the relative potential of lexical diversity and word/morpheme omission as predictors of typical or atypical language status was evaluated. Method Narrative samples were obtained from 48 bilingual children in both of their languages using the suggested narrative retell protocol and coding conventions as per Systematic Analysis of Language Transcripts (SALT; Miller & Iglesias, 2008) software. An additional lexical diversity measure, VocD, was also calculated. A series of logistical hierarchical regressions explored the utility of the number of different words, VocD statistic, and word and morpheme omissions in each language for predicting language status. Results Omission errors turned out to be the best predictors of bilingual language impairment at all ages, and this held true across languages. Although lexical diversity measures did not predict typical or atypical language status, the measures were significantly related to oral language proficiency in English and Spanish. Conclusion The results underscore the significance of omission errors in bilingual language impairment while simultaneously revealing the limitations of lexical diversity measures as indicators of impairment. The relationship between lexical diversity and oral language proficiency highlights the importance of considering relative language proficiency in bilingual assessment.
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Castilla-Earls, Anny, and Katrina Fulcher-Rood. "Convergent and Divergent Validity of the Grammaticality and Utterance Length Instrument." Journal of Speech, Language, and Hearing Research 61, no. 1 (2018): 120–29. http://dx.doi.org/10.1044/2017_jslhr-l-17-0152.

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Purpose This feasibility study examines the convergent and divergent validity of the Grammaticality and Utterance Length Instrument (GLi), a tool designed to assess the grammaticality and average utterance length of a child's prerecorded story retell. Method Three raters used the GLi to rate audio-recorded story retells from 100 English-speaking preschool children. To examine convergent validity, the results of the GLi were correlated with 2 language sample measures, mean length of utterance in words and percentage of grammatical utterances, and with the results of the Structured Photographic Expressive Language Test–Third Edition (Dawson, Stout, & Eyer, 2003). To examine divergent validity, the results of the GLi were correlated with the results of the Kaufman Brief Intelligence Test–Second Edition (Kaufman & Kaufman, 2004). Comparisons between task completion time for the GLi and Systematic Analysis of Language Transcripts (SALT; Miller & Iglesias, 2010) transcription and analysis were also conducted. Last, preliminary discriminant analysis was used to examine the diagnostic potential of the GLi. Results The results of this study provide evidence of convergent and divergent validity for the GLi. The task completion time for the GLi was considerably shorter than the SALT transcription and analysis. Preliminary analysis of diagnostic accuracy suggests that the GLi has the potential to be a good tool to identify children with language impairment. Discussion The GLi has good convergent and divergent validity and is a reliable instrument to assess utterance length and grammaticality of prerecorded language samples. However, SALT transcription and analysis provide a more detailed and comprehensive analysis of the language skills of a child.
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Soto, Gloria, and Michael T. Clarke. "Effects of a Conversation-Based Intervention on the Linguistic Skills of Children With Motor Speech Disorders Who Use Augmentative and Alternative Communication." Journal of Speech, Language, and Hearing Research 60, no. 7 (2017): 1980–98. http://dx.doi.org/10.1044/2016_jslhr-l-15-0246.

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Purpose This study was conducted to evaluate the effects of a conversation-based intervention on the expressive vocabulary and grammatical skills of children with severe motor speech disorders and expressive language delay who use augmentative and alternative communication. Method Eight children aged from 8 to 13 years participated in the study. After a baseline period, a conversation-based intervention was provided for each participant, in which they were supported to learn and use linguistic structures essential for the formation of clauses and the grammaticalization of their utterances, such as pronouns, verbs, and bound morphemes, in the context of personally meaningful and scaffolded conversations with trained clinicians. The conversations were videotaped, transcribed, and analyzed using the Systematic Analysis of Language Transcripts (SALT; Miller & Chapman, 1991). Results Results indicate that participants showed improvements in their use of spontaneous clauses, and a greater use of pronouns, verbs, and bound morphemes. These improvements were sustained and generalized to conversations with familiar partners. Conclusion The results demonstrate the positive effects of the conversation-based intervention for improving the expressive vocabulary and grammatical skills of children with severe motor speech disorders and expressive language delay who use augmentative and alternative communication. Clinical and theoretical implications of conversation-based interventions are discussed and future research needs are identified. Supplemental Materials https://doi.org/10.23641/asha.5150113
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Heilmann, John, Alexander Tucci, Elena Plante, and Jon F. Miller. "Assessing Functional Language in School-Aged Children Using Language Sample Analysis." Perspectives of the ASHA Special Interest Groups 5, no. 3 (2020): 622–36. http://dx.doi.org/10.1044/2020_persp-19-00079.

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Purpose The goal of this clinical focus article is to illustrate how speech-language pathologists can document the functional language of school-age children using language sample analysis (LSA). Advances in computer hardware and software are detailed making LSA more accessible for clinical use. Method This clinical focus article illustrates how documenting school-age student's communicative functioning is central to comprehensive assessment and how using LSA can meet multiple needs within this assessment. LSA can document students' meaningful participation in their daily life through assessment of their language used during everyday tasks. The many advances in computerized LSA are detailed with a primary focus on the Systematic Analysis of Language Transcripts (Miller & Iglesias, 2019). The LSA process is reviewed detailing the steps necessary for computers to calculate word, morpheme, utterance, and discourse features of functional language. Conclusion These advances in computer technology and software development have made LSA clinically feasible through standardized elicitation and transcription methods that improve accuracy and repeatability. In addition to improved accuracy, validity, and reliability of LSA, databases of typical speakers to document status and automated report writing more than justify the time required. Software now provides many innovations that make LSA simpler and more accessible for clinical use. Supplemental Material https://doi.org/10.23641/asha.12456719
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Fromm, Davida, Saketh Katta, Mason Paccione, et al. "A Comparison of Manual Versus Automated Quantitative Production Analysis of Connected Speech." Journal of Speech, Language, and Hearing Research 64, no. 4 (2021): 1271–82. http://dx.doi.org/10.1044/2020_jslhr-20-00561.

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Purpose Analysis of connected speech in the field of adult neurogenic communication disorders is essential for research and clinical purposes, yet time and expertise are often cited as limiting factors. The purpose of this project was to create and evaluate an automated program to score and compute the measures from the Quantitative Production Analysis (QPA), an objective and systematic approach for measuring morphological and structural features of connected speech. Method The QPA was used to analyze transcripts of Cinderella stories from 109 individuals with acute–subacute left hemisphere stroke. Regression slopes and residuals were used to compare the results of manual scoring and automated scoring using the newly developed C-QPA command in CLAN, a set of programs for automatic analysis of language samples. Results The C-QPA command produced two spreadsheet outputs: an analysis spreadsheet with scores for each utterance in the language sample, and a summary spreadsheet with 18 score totals from the analysis spreadsheet and an additional 15 measures derived from those totals. Linear regression analysis revealed that 32 of the 33 measures had good agreement; auxiliary complexity index was the one score that did not have good agreement. Conclusions The C-QPA command can be used to perform automated analyses of language transcripts, saving time and training and providing reliable and valid quantification of connected speech. Transcribing in CHAT, the CLAN editor, also streamlined the process of transcript preparation for QPA and allowed for precise linking of media files to language transcripts for temporal analyses.
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Pezold, Mollee J., Caitlin M. Imgrund, and Holly L. Storkel. "Using Computer Programs for Language Sample Analysis." Language, Speech, and Hearing Services in Schools 51, no. 1 (2020): 103–14. http://dx.doi.org/10.1044/2019_lshss-18-0148.

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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
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Mooney, Aine, Allison Bean, and Amy Miller Sonntag. "Language Sample Collection and Analysis in People Who Use Augmentative and Alternative Communication: Overcoming Obstacles." American Journal of Speech-Language Pathology 30, no. 1 (2021): 47–62. http://dx.doi.org/10.1044/2020_ajslp-19-00055.

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Purpose Language sample collection and analysis provides important information regarding the language abilities of individuals for whom standardized testing may not be appropriate, such as persons who use augmentative and alternative communication (PWUAACs). Despite its clinical utility, language sample collection and analysis has not been fully incorporated into the assessment of PWUAACs due to a variety of challenges. This study seeks to investigate the ability of language sample collection and analysis to provide clinically relevant information and explore ways to circumvent language sample collection and analysis challenges for PWUAACs. Method This is a case study of the narratives of two PWUAACs, one child and one adult. Analyses were conducted using manual calculations and computerized language sample analysis software (i.e., Systematic Analysis of Language Transcripts and Child Language Exchange System) and Realize Language. Conclusion Although the language samples took longer to complete relative to verbal controls, the information obtained from language sample collection and analysis provided valuable insight into the language system of the two participants that would not be revealed through standardized language assessment, including the distribution of their parts of speech and syntactic complexity. Given the important clinical data that may be obtained through language sample collection and analysis, we propose strategies to enable clinicians to overcome previously identified challenges.
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Dissertations / Theses on the topic "Systematic analysis of language transcripts (SALT)"

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Sheridan, McKinzie Craig. "A COMPARISON OF GROUP VERSUS INDIVIDUAL THERAPY ON THE OUTPUT OF APPROPRIATE UTTERANCES IN A SIX-YEAR-OLD GIRL WITH AUTISM: A CASE STUDY." UKnowledge, 2012. http://uknowledge.uky.edu/rehabsci_etds/5.

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Children with autism spectrum disorders typically experience language deficits in multiple areas, including form, content, and use. These children often receive speech therapy with individual sessions (one child and clinician), group sessions (several children), or a combination of both. Although research has deemed individual therapy successful, there is still debate regarding the success of group therapy, and there is virtually no literature examining a comparison between individual and group therapy. The current case-study investigated the relative effectiveness of individual versus group therapy for one six-year-old female with moderate autism spectrum disorder. The child underwent ten alternating therapy sessions of similar structure with consistent language targets during one academic semester. All sessions were transcribed using Systematic Analysis of Language Transcripts (SALT) conventions, and analyzed via the SALT program and Microsoft Excel t-tests. Results indicate that individual sessions yielded larger improvement with syntax and semantics, while group sessions produced greater progress with pragmatics and social skills, suggesting that a combination of both therapy types may be most beneficial. Social validation of group therapy also signified high parent satisfaction with overall growth during the semester. Implications of this study, as well as recommendations for future research and clinical practice are discussed.
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