Open AccessWord reordering algorithm for poetry analysis
Author(s) -
Vladimir Barakhnin,
I. S. Pastushkov
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1405/1/012009
Subject(s) - word2vec , poetry , computer science , natural language processing , artificial intelligence , classifier (uml) , word (group theory) , algorithm , linguistics , philosophy , embedding
Automatic poetry analysis is usually examined as subtask of natural language processing but approaches which are good for prose texts are ineffective for poetry due to free semantic characteristics. It allows us to use large corpus for training words order and rather small text corpus amount. In this paper we suggest the way to adapt poetry texts to prose ones by changing word order without loosing of model and also use word2vec features to improve the classifier work.