Word reordering algorithm for poetry analysis

V. B. Barakhnin, I. S. Pastushkov

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number012009
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 4 Dec 2019
Externally publishedYes
Event2019 Big Data and Artificial Intelligence Conference - Moscow, Russian Federation
Duration: 18 Sep 201919 Sep 2019


Dive into the research topics of 'Word reordering algorithm for poetry analysis'. Together they form a unique fingerprint.

Cite this