DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages

Automatic Text Complexity Evaluation (ATE) is a research field that aims at creating new methodologies to make autonomous the process of the text complexity evaluation, that is the study of the text-linguistic features (e.g., lexical, syntactical, morphological) to measure the grade of comprehensibi...

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Bibliographic Details
Main Authors: Giosué Lo Bosco, Giovanni Pilato, Daniele Schicchi
Format: article
Language:EN
Published: Elsevier 2021
Subjects:
Online Access:https://doaj.org/article/7e36055a1d474631b4ad6e3b116f8379
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