6533b837fe1ef96bd12a1e1a
RESEARCH PRODUCT
Machine Learning Models for Measuring Syntax Complexity of English Text
Giovanni PilatoDaniele SchicchiGiosuè Lo Boscosubject
naturallanguage-processingText simplificationComputer science02 engineering and technologyEnglish languagecomputer.software_genredeep-learningtext-simplification03 medical and health sciences0302 clinical medicinetext-evaluation0202 electrical engineering electronic engineering information engineeringText-simplification Deep-learning Machine-learningSequenceSyntax (programming languages)Settore INF/01 - Informaticabusiness.industryDeep learningSupport vector machineRecurrent neural network020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer030217 neurology & neurosurgerySentenceNatural language processingdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-07-17 |