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MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment ...
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Abstract:
Readability assessment is the task of determining how difficult or easy a text is or which level/grade it has. Traditionally, language dependent readability formula have been used, but these formulae take few text characteristics into account. However, Natural Language Processing (NLP) tools that assess the complexity of texts are able to measure more different features and can be adapted to different languages. In this paper, we present the MultiAzterTest tool: (i) an open source NLP tool which analyzes texts on over 125 measures of cohesion,language, and readability for English, Spanish and Basque, but whose architecture is designed to easily adapt other languages; (ii) readability assessment classifiers that improve the performance of Coh-Metrix in English, Coh-Metrix-Esp in Spanish and ErreXail in Basque; iii) a web tool. MultiAzterTest obtains 90.09 % in accuracy when classifying into three reading levels (elementary, intermediate, and advanced) in English and 95.50 % in Basque and 90 % in Spanish when ... : 33 pages ...
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Keyword:
68T50, 91F20; Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
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URL: https://dx.doi.org/10.48550/arxiv.2109.04870
https://arxiv.org/abs/2109.04870
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Towards a top-down approach for an automatic discourse analysis for Basque: Segmentation and Central Unit detection tool
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BASE
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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BASE
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Universal Dependencies 2.1
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In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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BASE
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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
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BASE
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