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Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion ...
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Algorithmic Classification of Paraphasias (Fergadiotis et al., 2016) ...
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Algorithmic Classification of Paraphasias (Fergadiotis et al., 2016) ...
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Abstract:
Purpose: This study was intended to evaluate a series of algorithms developed to perform automatic classification of paraphasic errors (formal, semantic, mixed, neologistic, and unrelated errors). Method: We analyzed 7,111 paraphasias from the Moss Aphasia Psycholinguistics Project Database (Mirman et al., 2010) and evaluated the classification accuracy of 3 automated tools. First, we used frequency norms fromthe SUBTLEXus database (Brysbaert & New, 2009) to differentiate nonword errors and real-word productions. Then we implemented a phonological-similarity algorithm to identify phonologically related real-word errors. Last, we assessed the performance of a semantic-similarity criterion that was based on word2vec (Mikolov, Yih, & Zweig, 2013). Results: Overall, the algorithmic classification replicated human scoring for the major categories of paraphasias studied with high accuracy. The tool that was based on the SUBTLEXus frequency norms was more than 97% accurate in making lexicality judgments. ...
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Keyword:
170204 Linguistic Processes incl. Speech Production and Comprehension; FOS Psychology
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URL: https://dx.doi.org/10.23641/asha.14963559 https://asha.figshare.com/articles/figure/Algorithmic_Classification_of_Paraphasias_Fergadiotis_et_al_2016_/14963559
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UniMorph 3.0: Universal Morphology
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In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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Quantitative analysis of disfluency in children with autism spectrum disorder or language impairment
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Uh and um in Children With Autism Spectrum Disorders or Language Impairment
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Minimally Supervised Written-to-Spoken Text Normalization ...
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Real-Time Trends in the Texas English Vowel System: F2 Trajectory in GOOSE as an Index of a Variety's Ongoing Delocalization
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Generative phonotactics
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In: Dissertations available from ProQuest (2013)
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Preface
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In: University of Pennsylvania Working Papers in Linguistics (2010)
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The Consequences of Multicollinearity among Socioeconomic Predictors of Negative Concord in Philadelphia
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In: University of Pennsylvania Working Papers in Linguistics (2010)
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