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A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information
Cross-language information cognitive retrieval has grown in importance as a study area due to the multilingual character of Internet resources and the diversifying languages spoken by users. This paper analyses and illustrates the key characteristics of Japanese literature from three aspects: ideolo...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492374/ https://www.ncbi.nlm.nih.gov/pubmed/36156977 http://dx.doi.org/10.1155/2022/8195075 |
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author | Feng, Tao |
author_facet | Feng, Tao |
author_sort | Feng, Tao |
collection | PubMed |
description | Cross-language information cognitive retrieval has grown in importance as a study area due to the multilingual character of Internet resources and the diversifying languages spoken by users. This paper analyses and illustrates the key characteristics of Japanese literature from three aspects: ideological structure, structural form, and emotional expression, and makes a straightforward comparison with Chinese literature using a number of well-known Japanese literary masterpieces as examples. An important aspect of this literature is that it is full of lingering feelings, leaving room for the readers to imagine. The lingering charm is endless, obscure, and meaningful, which is the traditional style of Japanese literature. It also focuses on the depoliticization of Japanese literature, that is, the relative separation between literature and politics. The subjectivity of Japanese writing, which goes beyond just conveying feelings but involves less objective description, is related to this. The process of cross-language information retrieval in foreign nations is primarily separated into three stages, according to the changes in research objects. Currently, adding a language conversion mechanism to a monolingual information retrieval system serves as the primary language information retrieval solution. Currently, nearly 40% of the global popularity of literature comes from Japan. In this article, the background and concept of cross-language information retrieval are introduced, and its types, system models, and several key cross-language information retrieval methods are explained, and some solutions to the factors influencing the cross-language information retrieval effect are suggested. |
format | Online Article Text |
id | pubmed-9492374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94923742022-09-22 A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information Feng, Tao Comput Intell Neurosci Research Article Cross-language information cognitive retrieval has grown in importance as a study area due to the multilingual character of Internet resources and the diversifying languages spoken by users. This paper analyses and illustrates the key characteristics of Japanese literature from three aspects: ideological structure, structural form, and emotional expression, and makes a straightforward comparison with Chinese literature using a number of well-known Japanese literary masterpieces as examples. An important aspect of this literature is that it is full of lingering feelings, leaving room for the readers to imagine. The lingering charm is endless, obscure, and meaningful, which is the traditional style of Japanese literature. It also focuses on the depoliticization of Japanese literature, that is, the relative separation between literature and politics. The subjectivity of Japanese writing, which goes beyond just conveying feelings but involves less objective description, is related to this. The process of cross-language information retrieval in foreign nations is primarily separated into three stages, according to the changes in research objects. Currently, adding a language conversion mechanism to a monolingual information retrieval system serves as the primary language information retrieval solution. Currently, nearly 40% of the global popularity of literature comes from Japan. In this article, the background and concept of cross-language information retrieval are introduced, and its types, system models, and several key cross-language information retrieval methods are explained, and some solutions to the factors influencing the cross-language information retrieval effect are suggested. Hindawi 2022-09-14 /pmc/articles/PMC9492374/ /pubmed/36156977 http://dx.doi.org/10.1155/2022/8195075 Text en Copyright © 2022 Tao Feng. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Feng, Tao A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information |
title | A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information |
title_full | A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information |
title_fullStr | A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information |
title_full_unstemmed | A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information |
title_short | A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information |
title_sort | comparative optimization model of japanese literature characteristics for cognitive retrieval of cross-language information |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492374/ https://www.ncbi.nlm.nih.gov/pubmed/36156977 http://dx.doi.org/10.1155/2022/8195075 |
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