Standard

Word reordering algorithm for poetry analysis. / Barakhnin, V. B.; Pastushkov, I. S.

в: Journal of Physics: Conference Series, Том 1405, № 1, 012009, 04.12.2019.

Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование

Harvard

Barakhnin, VB & Pastushkov, IS 2019, 'Word reordering algorithm for poetry analysis', Journal of Physics: Conference Series, Том. 1405, № 1, 012009. https://doi.org/10.1088/1742-6596/1405/1/012009

APA

Barakhnin, V. B., & Pastushkov, I. S. (2019). Word reordering algorithm for poetry analysis. Journal of Physics: Conference Series, 1405(1), [012009]. https://doi.org/10.1088/1742-6596/1405/1/012009

Vancouver

Barakhnin VB, Pastushkov IS. Word reordering algorithm for poetry analysis. Journal of Physics: Conference Series. 2019 дек. 4;1405(1):012009. doi: 10.1088/1742-6596/1405/1/012009

Author

Barakhnin, V. B. ; Pastushkov, I. S. / Word reordering algorithm for poetry analysis. в: Journal of Physics: Conference Series. 2019 ; Том 1405, № 1.

BibTeX

@article{4eb2dd14a7934078a93a8b028ea7d208,
title = "Word reordering algorithm for poetry analysis",
abstract = "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.",
author = "Barakhnin, {V. B.} and Pastushkov, {I. S.}",
year = "2019",
month = dec,
day = "4",
doi = "10.1088/1742-6596/1405/1/012009",
language = "English",
volume = "1405",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "2019 Big Data and Artificial Intelligence Conference ; Conference date: 18-09-2019 Through 19-09-2019",

}

RIS

TY - JOUR

T1 - Word reordering algorithm for poetry analysis

AU - Barakhnin, V. B.

AU - Pastushkov, I. S.

PY - 2019/12/4

Y1 - 2019/12/4

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85078157056&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1405/1/012009

DO - 10.1088/1742-6596/1405/1/012009

M3 - Conference article

AN - SCOPUS:85078157056

VL - 1405

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012009

T2 - 2019 Big Data and Artificial Intelligence Conference

Y2 - 18 September 2019 through 19 September 2019

ER -

ID: 25326290