Machine Learning Models for Measuring Syntax Complexity of English Text-Reference-Cited by-同舟云学术

Machine Learning Models for Measuring Syntax Complexity of English Text

Published:2019-07-17 Issue: Volume: Page:449-454
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Schicchi Daniele,Lo Bosco Giosué,Pilato Giovanni

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-25719-4_59

Reference15 articles.

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2. Schicchi D, Pilato G (2018) A social humanoid robot as a playfellow for vocabulary enhancement. In: 2018 second IEEE international conference on robotic computing (IRC). IEEE Computer Society, Los Alamitos, pp 205–208

3. Di Gangi MA, Federico M (2018) Deep neural machine translation with weakly-recurrent units. In: 21st annual conference of the European association for machine translation, pp 119–128

4. Alfano M, Lenzitti B, Lo Bosco G, Perticone V (2015) An automatic system for helping health consumers to understand medical texts, pp 622–627

5. Kincaid J (1975) Derivation of new readability formulas: (automated readability index, fog count and Flesch reading ease formula) for navy enlisted personnel. Research branch report. Chief of naval technical training, Naval Air Station Memphis

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