Innovative Design of Artificial Intelligence in Intangible Cultural Heritage

Xie, Jing

doi:10.1155/2022/6913046

Cited by 25 publications

(12 citation statements)

References 25 publications

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“…Therefore, this paper selects Transformer to conduct experiments on the translation model [16]. The Transformer model adopts a sequence-to-sequence model architecture, and the overall structure consists of two parts: an encoder and a decoder [17]. The encoder of the model encodes the source language and converts it into a vector representation, and the decoder receives the encoding information from the encoder and then decodes it to generate a translation.…”

Section: Neural Machine Translation System Based Onmentioning

confidence: 99%

The Application of Artificial Intelligence in the Dissemination of Local Culture in Hainan Province: Taking the Dissemination of Bai Yuchan’s Thoughts as an Example

Hong-hai

2022

Advances in Multimedia

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Bai Yuchan’s Taoist thought is an important part of Taoist health-preserving thought. Excavating, sorting out, and translating Bai Yuchan’s Taoist thought will not only help increase cultural self-confidence and protect traditional culture but also become an important medium for foreign exchanges. With the advent of the digital age, artificial intelligence has helped the dissemination of excellent traditional Chinese culture with its unique technological advantages, improving the effectiveness, intensity, and breadth of cultural dissemination. In domain machine translation, whether domain terms can be correctly translated plays a decisive role in the translation quality. It is of practical significance to effectively integrate domain terms into neural machine translation models and improve the translation quality of domain terms. This paper proposes a method of incorporating new Bai Yuchan’s thought term information as prior knowledge into neural machine translation. Using the term dictionary constructed from Bai Yuchan’s thought bilingual terminology knowledge base as a medium, two different knowledge integration methods are proposed and compared: (1) term replacement, which means using the target term to replace the source term on the source language side, and (2) term addition, which means splicing the source term and the target term on the source language side and both the source language side and the target language side. Use identifiers as special external knowledge to identify the beginning and end of the target term. Based on the Chinese-English bilingual alignment corpus of New Bai Yuchan’s thoughts and the constructed Chinese-English alignment termbase, the experiments are carried out. The results show that on the test set, the BLEU value of the proposed method is 6.38 and 6.38 higher than the baseline experiments, respectively, which proves that the proposed method can effectively incorporate domain terminology knowledge into the translation model and improve the translation quality of domain terminology.

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Section: Neural Machine Translation System Based Onmentioning

confidence: 99%

The Application of Artificial Intelligence in the Dissemination of Local Culture in Hainan Province: Taking the Dissemination of Bai Yuchan’s Thoughts as an Example

Hong-hai

2022

Advances in Multimedia

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“…The tourism development of drama-related intangible cultural heritage is essential for both preservation and attracting tourists. Sustainability, in this context, encompasses the project's longevity, social and environmental responsibility, and a well-balanced business model aimed at upholding and revitalizing intangible cultural heritage [ 4 , 6 , 7 , 11 , 12 , 16 , 18 ].…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, the influence of drama-related intangible cultural heritage is limited, with only a few projects having a national impact, leaving others less recognized [ 6 ]. Another concern lies in the monotony of disseminating drama heritage, which falls short of meeting the audience's yearning for diverse and enriching experiences [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Sustainable tourism development for traditional Chinese drama's intangible cultural heritage

Zhao,

Elahi,

Wang

et al. 2024

Heliyon

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“…BPNN means a multilayer feed-forward network that only propagates the signal from the back to the front [ 16 ]. BPNN supports N-to-N multipoint input and multipoint output mapping with a very high degree of nonlinearity.…”

Section: Methods Of Cultural Heritage Resource Development and Indust...mentioning

confidence: 99%

Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network

Liu

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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Mining and utilizing cultural heritage resources and creating and developing creative and cultural industries have become the priority direction of economic development, setting off a wave of cultural heritage resource development, and industrial transformation. Which cultural heritage resources can have the high value of industrial transformation has become one of the research topics that have attracted much attention. In view of this problem, research is of great significance to the development of cultural heritage resources and the field of industrial transformation. With the in-depth research on resource development and industrial transformation, the research on artificial neural network (ANN) in cultural industry transformation is gradually carried out, and its performance advantages are of great significance to solve the problem of value evaluation. This paper aims to study the application of the value assessment method based on the BP neural network (BPNN) in the development of cultural heritage resources and industrial transformation. Through the analysis and research of BPNN and cultural heritage resource development and industrial transformation, it can be applied to the construction of resource value assessment methods to solve the problem of improving the value level of cultural heritage resource development and industry. This paper analyzes BPNN, cultural heritage, and value evaluation methods, conducts experimental analysis on the performance of the algorithm, and uses related theoretical formulas to explain. The results show that the evaluation method has passed the random consistency test, and the results are valid. The obtained index popularity weight value is 0.134, the economic benefit weight value is 0.093, and the resource correlation degree weight value is 0.074, which can be used as the key criteria for resource value evaluation. The classification of resources through resource value assessment can provide theoretical support for the development and industrialization of cultural heritage and can meet the needs of improving the value and quality of cultural heritage development and industrial transformation, and the development level and satisfaction have been greatly improved.

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Innovative Design of Artificial Intelligence in Intangible Cultural Heritage

Cited by 25 publications

References 25 publications

The Application of Artificial Intelligence in the Dissemination of Local Culture in Hainan Province: Taking the Dissemination of Bai Yuchan’s Thoughts as an Example

The Application of Artificial Intelligence in the Dissemination of Local Culture in Hainan Province: Taking the Dissemination of Bai Yuchan’s Thoughts as an Example

Sustainable tourism development for traditional Chinese drama's intangible cultural heritage

Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network

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