Optimization of machine translation algorithm for English long sentences based on deep learning

Traditional artificial English long sentence translation efficiency is low, and the difference of the translator's personal level will lead to uneven translation quality. The existing MT can not effectively solve the problems of cross-type ambiguity in English long sentence translation rules. T...

Full description

Saved in:
Bibliographic Details
Published in:2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) pp. 1299 - 1303
Main Author: Zhang, Guowei
Format: Conference Proceeding
Language:English
Published: IEEE 28.04.2023
Subjects:
Decoding
Deep learning
Knowledge based systems
machine translation
Manuals
neural translator
Process control
Recurrent neural networks
Software
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Traditional artificial English long sentence translation efficiency is low, and the difference of the translator's personal level will lead to uneven translation quality. The existing MT can not effectively solve the problems of cross-type ambiguity in English long sentence translation rules. This paper adopts the encoder-decoder structure. In the encoding stage, each word in the Chinese sentence is first mapped to a fixed-length word vector, and all the information of the entire sentence is compressed through the recurrent neural network. The attention model is introduced in the decoding process, so that the decoder pays more attention to the context-dependent words of the current translated word, and selects the translated word with the highest probability to generate the target sentence each time. Compared with traditional English long sentence translation methods, it has higher timeliness, higher accuracy, and stronger translation standards.
AbstractList Traditional artificial English long sentence translation efficiency is low, and the difference of the translator's personal level will lead to uneven translation quality. The existing MT can not effectively solve the problems of cross-type ambiguity in English long sentence translation rules. This paper adopts the encoder-decoder structure. In the encoding stage, each word in the Chinese sentence is first mapped to a fixed-length word vector, and all the information of the entire sentence is compressed through the recurrent neural network. The attention model is introduced in the decoding process, so that the decoder pays more attention to the context-dependent words of the current translated word, and selects the translated word with the highest probability to generate the target sentence each time. Compared with traditional English long sentence translation methods, it has higher timeliness, higher accuracy, and stronger translation standards.
Author Zhang, Guowei
Author_xml – sequence: 1
  givenname: Guowei
  surname: Zhang
  fullname: Zhang, Guowei
  email: fanguguabki8804@163.com
  organization: Zhuhai College of Science and Technology,School of Public Foreign Language Education,Zhuhai,China,519041
BookMark eNo1j8FKxDAURSPoQmfmD1zED2hNmqRJllKqDgzMZlyXl_a1DbRJabrRr3dgdHXgcrhwnsh9iAEJeeEs55zZ12NV1dVFaStMXrBC5JxxyUop78jBamuEYsJaVphH0pyXzc_-BzYfA409naEdfUC6rRDSdJthGuLqt3GmfVxpHYbJp5FOMQw0YdgwtJiog4Qdvdod4kInhDX4MOzJQw9TwsMfd-Trvb5Un9np_HGs3k6Z59xumUNoQZdCtqUUIAwyK5TgIJnh2hROu64tUArplGkdlH3HetU7q7VRWFzVHXm-_XpEbJbVz7B-N__d4hefslSW
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICCECT57938.2023.10140644
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9798350399028
EndPage 1303
ExternalDocumentID 10140644
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i119t-beaca7634c643a38e093531a4081782b7bdc2e434b58cba6fd0f5fb97785e2353
IEDL.DBID RIE
IngestDate Thu Jan 18 11:13:15 EST 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i119t-beaca7634c643a38e093531a4081782b7bdc2e434b58cba6fd0f5fb97785e2353
PageCount 5
ParticipantIDs ieee_primary_10140644
PublicationCentury 2000
PublicationDate 2023-April-28
PublicationDateYYYYMMDD 2023-04-28
PublicationDate_xml – month: 04
  year: 2023
  text: 2023-April-28
  day: 28
PublicationDecade 2020
PublicationTitle 2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)
PublicationTitleAbbrev ICCECT
PublicationYear 2023
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.8302286
Snippet Traditional artificial English long sentence translation efficiency is low, and the difference of the translator's personal level will lead to uneven...
SourceID ieee
SourceType Publisher
StartPage 1299
SubjectTerms Decoding
Deep learning
Knowledge based systems
machine translation
Manuals
neural translator
Process control
Recurrent neural networks
Software
Title Optimization of machine translation algorithm for English long sentences based on deep learning
URI https://ieeexplore.ieee.org/document/10140644
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA5uiHhSceJvInjNtrZpk57LhoLMHSbsNvLjZQ62dszOv9-XrFM8ePAWyiOhSZrvNe_73iPkUXGfJ8z1GXd5yhDxJFNaRyyzAiyHPuQ25Jl9EaORnE7zcSNWD1oYAAjkM-j6Zojl28ps_VVZz9eVRQjlLdISItuJtY7IQ5M3s_dcFINikuKO85ytOOnu7X9VTgnAMTz555CnpPMjwaPjb3A5IwdQnpPZK37gq0Y5SStHV4EKCbT2iLNjtVG1nFf4x_--ouiP0kamS5dVOadeaBR409SDl6VobQHWtCkdMe-Qt-FgUjyxpkICW0RRXjONx6bCE4IbdCxUIsGHNZNIcQR6hH4ttDUx8ITrVBqtMmf7LnUafT6ZQoymF6RdViVcEmok9pVaJZTBNzZOydjGJtcClMQh-BXp-NmZrXdJMGb7ibn-4_kNOfZr4AMvsbwl7XqzhTtyaD7rxcfmPizdF1Ozne8
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG4UjXpSI8bf1sTrYOs61p0XDEREDphwW_rjDUlgIzj8-30tQ-PBg7dm6dq0Xfu99X3fe4Q8Sm7jhOW-x_Mk8hDxhCeVCryOicFw8CExLs7sIB4OxWSSjGqxutPCAIAjn0HLFp0v35R6ba_K2javLEIo3yV7EefM38i1DshDHTmz3U_TbjqO8JuzrC0WtrZv_Mqd4qDj6fifnZ6Q5o8Ij46-4eWU7EBxRrJX3OKLWjtJy5wuHBkSaGUxZ8Nro3I-LfGf_31B0SKltVCXzstiSq3UyDGnqYUvQ7G2AVjSOnnEtEnenrrjtOfVORK8WRAklafw4JR4RnCNpoUMBVjHZhhIjlCP4K9iZTQDHnIVCa1kJzd-HuUKrT4RAcOq56RRlAVcEKoFthUZGUuNI9a5FMwwnagYpMAu-CVp2tnJlpswGNl2Yq7-eH5PDnvjl0E26A-fr8mRXQ_rhmHihjSq1Rpuyb7-rGYfqzu3jF-2fqE2
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2023+IEEE+International+Conference+on+Control%2C+Electronics+and+Computer+Technology+%28ICCECT%29&rft.atitle=Optimization+of+machine+translation+algorithm+for+English+long+sentences+based+on+deep+learning&rft.au=Zhang%2C+Guowei&rft.date=2023-04-28&rft.pub=IEEE&rft.spage=1299&rft.epage=1303&rft_id=info:doi/10.1109%2FICCECT57938.2023.10140644&rft.externalDocID=10140644