Machine-scored syntax (Roberts et al., 2020)
journal contributionposted on 18.03.2020, 21:04 by Jenny A. Roberts, Evelyn P. Altenberg, Madison Hunter
Purpose: The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method.
Method: Twenty transcripts of 10 children from archival data of the Weismer Corpus from the Child Language Data Exchange System at 30 and 42 months were examined. Measures of absolute point difference and point-to-point accuracy were compared, as well as points erroneously given and missed. Two new measures for evaluating automatic scoring of the Index of Productive Syntax were introduced: Machine Item Accuracy (MIA) and Cascade Failure Rate— these measures further analyze points erroneously given and missed. Differences in total scores, subscale scores, and individual structures were also reported.
Results: Mean absolute point difference between machine and hand scoring was 3.65, point-to-point agreement was 72.6%, and MIA was 74.9%. There were large differences in subscales, with Noun Phrase and Verb Phrase subscales generally providing greater accuracy and agreement than Question/Negation and Sentence Structures subscales. There were significantly more erroneous than missed items in machine scoring, attributed to problems of mistagging of elements, imprecise search patterns, and other errors. Cascade failure resulted in an average of 4.65 points lost per transcript.
Conclusions: The CLAN program showed relatively inaccurate outcomes in comparison to manual scoring on both traditional and new measures of accuracy. Recommendations for improvement of the program include accounting for second exemplar violations and applying cascaded credit, among other suggestions. It was proposed that research on machine-scored syntax routinely report accuracy measures detailing erroneous and missed scores, including MIA, so that researchers and clinicians are aware of the limitations of a machine-scoring program.
Supplemental Material S1. Sample Index of Productive Syntax (IPSyn) output.
Supplemental Material S2. CLAN sample transcript.
Supplemental Material S3. IPSyn manual scores (based on Scarborough, 1990).
Roberts, J. A., Altenberg, E. P., & Hunter, M. (2020). Machine-scored syntax: Comparison of the CLAN automatic scoring program to manual scoring. Language, Speech, and Hearing Services in Schools. Advance online publication. https://doi.org/10.1044/2019_LSHSS-19-00056
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CLANComputerized Language AnalysismachinescoredautomaticscoringprogrammanualIndex of Productive SyntaxIPSynsyntaxTalkBankChild Language Data Exchange System (CHILDES)CHILDESaccuracytranscriptchildrenWismer CorpustoddlersevaluatingMachine Item AccuracyCascade Failure Rateagreementnoun phraseverb phrasequestion/negativesentence structurestaggingsearchoutcomesimprovementresearchersclinicianslanguage sampling and analysisclinicalspeech-language pathologytestingassessmentLanguageLinguistic Processes (incl. Speech Production and Comprehension)