Word reordering algorithm for poetry analysis

V. B. Barakhnin; I. S. Pastushkov

doi:10.1088/1742-6596/1405/1/012009

Word reordering algorithm for poetry analysis

Результат исследования: Научные публикации в периодических изданиях › статья по материалам конференции

Аннотация

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.

Язык оригинала	английский
Номер статьи	012009
Журнал	Journal of Physics: Conference Series
Том	1405
Номер выпуска	1
DOI	https://doi.org/10.1088/1742-6596/1405/1/012009
Состояние	Опубликовано - 4 дек 2019
Опубликовано для внешнего пользования	Да
Событие	2019 Big Data and Artificial Intelligence Conference - Moscow, Российская Федерация Продолжительность: 18 сен 2019 → 19 сен 2019

Доступ к документу

10.1088/1742-6596/1405/1/012009

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Цитировать

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