A Study of Minority Culture Outreach Translation Based on Cognitive Mapping Construction

In this paper, we first construct a cognitive neural network and use the knowledge representation learning technique for knowledge complementation and relation extraction to semantically match head-tail entity pairs with relations and accurately model the semantic relationships between entities and...

Full description

Bibliographic Details
Main Author: Jin Ling
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.01511
_version_ 1797340568821432320
author Jin Ling
author_facet Jin Ling
author_sort Jin Ling
collection DOAJ
description In this paper, we first construct a cognitive neural network and use the knowledge representation learning technique for knowledge complementation and relation extraction to semantically match head-tail entity pairs with relations and accurately model the semantic relationships between entities and relations. Then, the vectors of each entity are mapped onto the hyperplane of a given relation by the cognitive mapping translation model, and vector translation operations are performed on the hyperplane. Finally, this paper’s translation model is compared with other models to compare the semantic representation translation, task processing function, and model complexity of each model so as to verify the superiority of this paper’s model for minority culture outreach translation. The results show that this paper’s method increases 3.4 and 1.2 BLEU values on average in the four translation tasks compared to the Imagination model and VAG model, respectively. When the number of iterations is 40, the MRR value of this paper’s model is 0.345, which is at least 0.1-0.5 more than the other models, thus indicating that this paper’s model has a better performance in outreach translation.
first_indexed 2024-03-08T10:04:55Z
format Article
id doaj.art-af84236da65745cf9ed75949ecf524d5
institution Directory Open Access Journal
issn 2444-8656
language English
last_indexed 2024-03-08T10:04:55Z
publishDate 2024-01-01
publisher Sciendo
record_format Article
series Applied Mathematics and Nonlinear Sciences
spelling doaj.art-af84236da65745cf9ed75949ecf524d52024-01-29T08:52:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01511A Study of Minority Culture Outreach Translation Based on Cognitive Mapping ConstructionJin Ling01School of Foreign Languages, Guilin Tourism University, Guilin, Guangxi, 541006, China.In this paper, we first construct a cognitive neural network and use the knowledge representation learning technique for knowledge complementation and relation extraction to semantically match head-tail entity pairs with relations and accurately model the semantic relationships between entities and relations. Then, the vectors of each entity are mapped onto the hyperplane of a given relation by the cognitive mapping translation model, and vector translation operations are performed on the hyperplane. Finally, this paper’s translation model is compared with other models to compare the semantic representation translation, task processing function, and model complexity of each model so as to verify the superiority of this paper’s model for minority culture outreach translation. The results show that this paper’s method increases 3.4 and 1.2 BLEU values on average in the four translation tasks compared to the Imagination model and VAG model, respectively. When the number of iterations is 40, the MRR value of this paper’s model is 0.345, which is at least 0.1-0.5 more than the other models, thus indicating that this paper’s model has a better performance in outreach translation.https://doi.org/10.2478/amns.2023.2.01511cognitive mappingcognitive neural networkknowledge representation learningsemantic matchingoutreach translation97q30
spellingShingle Jin Ling
A Study of Minority Culture Outreach Translation Based on Cognitive Mapping Construction
Applied Mathematics and Nonlinear Sciences
cognitive mapping
cognitive neural network
knowledge representation learning
semantic matching
outreach translation
97q30
title A Study of Minority Culture Outreach Translation Based on Cognitive Mapping Construction
title_full A Study of Minority Culture Outreach Translation Based on Cognitive Mapping Construction
title_fullStr A Study of Minority Culture Outreach Translation Based on Cognitive Mapping Construction
title_full_unstemmed A Study of Minority Culture Outreach Translation Based on Cognitive Mapping Construction
title_short A Study of Minority Culture Outreach Translation Based on Cognitive Mapping Construction
title_sort study of minority culture outreach translation based on cognitive mapping construction
topic cognitive mapping
cognitive neural network
knowledge representation learning
semantic matching
outreach translation
97q30
url https://doi.org/10.2478/amns.2023.2.01511
work_keys_str_mv AT jinling astudyofminoritycultureoutreachtranslationbasedoncognitivemappingconstruction
AT jinling studyofminoritycultureoutreachtranslationbasedoncognitivemappingconstruction