Publication Date:
2020
abstract:
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
text-evaluation; text-simplification; deep-learning; naturallanguage-processing
List of contributors:
Pilato, Giovanni
Book title:
Biologically Inspired Cognitive Architectures 2019. Advances in Intelligent Systems and Computing