KFU. Card publication. Using artificial neural network in machine translation

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

USING ARTIFICIAL NEURAL NETWORK IN MACHINE TRANSLATION

Form of presentation

Articles in Russian journals and collections

Year of publication

2017

Язык

английский

Authors, employees of KFU

Makhmutova Alsu Nigmatyanovna, author

Authors, students KFU

Bedrin Oleg Aleksandrovich, author

Bibliographic description in the original language

Bedrin O.A., Makhmutova A.N. Using artificial neural network in machine translation / O.A. Bedrin, A.N. Makhmutova // Informacionnye tekhnologii v issledovatelskom prostranstve raznostrukturnykh yazykov: sbornik I mezhdunar. internet-konferencii molodykh uchenykh. – Kazan, 2017. - S. 34-37

Annotation

Информационные технологии в исследовательском пространстве разноструктурных языков:

Keywords

artificial neural network (ANN), feedforward neural network (FFNN), recurrent neural network (RNN), long-short term memory (LSTM), machine learning, neuron

The name of the journal

Информационные технологии в исследовательском пространстве разноструктурных языков:

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=153401&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Makhmutova Alsu Nigmatyanovna	ru_RU
dc.contributor.author	Bedrin Oleg Aleksandrovich	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Бедрин О.А., Махмутова А.Н. Using artificial neural network in machine translation / О.А. Бедрин, А.Н. Махмутова // Информационные технологии в исследовательском пространстве разноструктурных языков: сборник I междунар. интернет-конференции молодых ученых. – Казань, 2017. - С. 34-37	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=153401&p_lang=2	ru_RU
dc.description.abstract	Информационные технологии в исследовательском пространстве разноструктурных языков:	ru_RU
dc.description.abstract	Each method of machine translation has a number of the shortcomings and the need for their elimination proceeds from an urgent requirement of automation of the work of translators. The goal of this paper is to examine how artificial neural network (ANN) can progress machine translation. The focus of our research is on principles of the work of ANN, with the aim of answering the question whether or not ANN can be effectively used in machine translation. In order to conduct the research, several specific architectures were discussed and the appropriate candidate for writing a test program was selected. The pilot study involved translation of English phrases into Russian and vice versa. Methodology used for conducting the pilot study took in a laptop and a number of deep machine learning technologies. The data obtained from the experiment showed effectiveness of using ANN for machine.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	artificial neural network (ANN)	ru_RU
dc.subject	feedforward neural network (FFNN)	ru_RU
dc.subject	recurrent neural network (RNN)	ru_RU
dc.subject	long-short term memory (LSTM)	ru_RU
dc.subject	machine learning	ru_RU
dc.subject	neuron	ru_RU
dc.title	Using artificial neural network in machine translation	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU