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Evaluating International Diagnostic, Screening, and Monitoring Practices for Craniofacial Microsomia and Microtia: A Survey Study ...
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Longitudinal Effects on Adolescent Language (Harlaar et al., 2016) ...
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Longitudinal Effects on Adolescent Language (Harlaar et al., 2016) ...
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Language Skills of Youth Offenders (Lount et al., 2017) ...
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Language Skills of Youth Offenders (Lount et al., 2017) ...
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Supplementary Material for: Novel Cranial Imaging Findings and a Splice-Site Variant in a Patient with Tyrosinemia Type III, and a Summary of Published Cases ...
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Supplementary Material for: Novel Cranial Imaging Findings and a Splice-Site Variant in a Patient with Tyrosinemia Type III, and a Summary of Published Cases ...
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Metathesis as a Bootstrapping Strategy among Children in the Philippines: A Qualitative Investigation on Language Development ...
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Activity Structure in Preschool Classrooms and Children’s Language Change ...
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The Interface between Linguistic Units and Socio-cultural Frames in Egyptian Arabic: A Cognitive Diglossic Perspective ...
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Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean ...
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THE BEL CANTO REVIVAL IN PEDAGOGY AND PERFORMANCE: PRESENTING MADNESS AND THE GREAT LUCIAS
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Seeing our language: The effects of media representation on Scottish Gaelic learners
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Machine-readable Finnish-Livvi bilingual translation dictionary ...
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Machine-readable Northern Karelian Proper-Livvi bilingual translation dictionary ...
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Machine-readable Finnish-Livvi bilingual translation dictionary ...
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Machine-readable Northern Karelian Proper-Livvi bilingual translation dictionary ...
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A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ...
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Abstract:
Arabic sentiment analysis has become an important research field in recent years. Initially, work focused on Modern Standard Arabic (MSA), which is the most widely-used form. Since then, work has been carried out on several different dialects, including Egyptian, Levantine and Moroccan. Moreover, a number of datasets have been created to support such work. However, up until now, less work has been carried out on Sudanese Arabic, a dialect which has 32 million speakers. In this paper, two new publicly available datasets are introduced, the 2-Class Sudanese Sentiment Dataset (SudSenti2) and the 3-Class Sudanese Sentiment Dataset (SudSenti3). Furthermore, a CNN architecture, SCM, is proposed, comprising five CNN layers together with a novel pooling layer, MMA, to extract the best features. This SCM+MMA model is applied to SudSenti2 and SudSenti3 with accuracies of 92.75% and 84.39%. Next, the model is compared to other deep learning classifiers and shown to be superior on these new datasets. Finally, the ... : 19 pages, 11 tables, 11 figures ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2201.12664 https://arxiv.org/abs/2201.12664
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Machine learning reveals cryptic dialects that explain mate choice in a songbird ...
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