In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.
CITATION STYLE
Schicchi, D., Lo Bosco, G., & Pilato, G. (2020). Machine Learning Models for Measuring Syntax Complexity of English Text. In Advances in Intelligent Systems and Computing (Vol. 948, pp. 449–454). Springer Verlag. https://doi.org/10.1007/978-3-030-25719-4_59
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