An English-Chinese Machine Translation and Evaluation Method for Geographical Names

Ren, Hongkai; Xi, Mao; Ma, Wei; Wang, Jizhou; Wang, Linyun

doi:10.3390/ijgi9030139

Cited by 28 publications

(24 citation statements)

References 21 publications

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“…(2) the model calculates the logarithm of the frequency domain signals and then performs the inverse Fourier transform [28][29][30][31].…”

Section: Audio Signal Expression and Preprocessing Technologymentioning

confidence: 99%

Multimodal Music Emotion Recognition Method Based on the Combination of Knowledge Distillation and Transfer Learning

Tong

2022

Scientific Programming

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The main difficulty of music emotion recognition is the lack of sufficient labeled data. Only the labeled data with unbalanced categories are used to train the emotion recognition model. Not only is accurate labeling of emotion categories costly and time-consuming, but it also requires extensive musical background for labelers At the same time, the emotion of music is often affected by many factors. Singing methods, music styles, arrangement methods, lyrics, and other factors will affect the expression of music emotions. This paper proposes a multimodal method based on the combination of knowledge distillation and music style transfer learning and verifies the effectiveness of the method on 20,000 songs. Experiments show that compared with traditional methods, such as single audio, single lyric, and single audio with multimodal lyric methods, the method proposed in this paper has significantly improved the accuracy of emotion recognition, and the generalization ability has been significantly improved.

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“…(2) the model calculates the logarithm of the frequency domain signals and then performs the inverse Fourier transform [28][29][30][31].…”

Section: Audio Signal Expression and Preprocessing Technologymentioning

confidence: 99%

Multimodal Music Emotion Recognition Method Based on the Combination of Knowledge Distillation and Transfer Learning

Tong

2022

Scientific Programming

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“…Now-a-days, it is easy to communicate with peoples of different countries and in different languages [13]. For the communications different technologies were used to solve this major issue around the globe.…”

Section: Ai In Translation Of Textmentioning

confidence: 99%

Identification of Online Statistical Translation and Text Issues in Communication Technologies

2021

IJATCSE

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Now-a-days Artificial Intelligence growing fast towards new communication technologies and it provide easiness to the users as per there demand. Mobile/cell phone is one of the most reliable examples of latest technologies. It is easy to communicate with peoples of different countries and also in different languages. For the communications different technologies were used to solve this major issue around the globe. Translation is one of them to translate the one language to another language. The research methodology is based on the five phases. In this research study, analysis of the text by process on online translator, bilingual corpus (English and Sindhi) were used. After the translation from English to Sindh and Translation from Sindhi to English many issues were faced at the various communication technologies. When input data of large sentence to the translator it takes more time for the translation, but mostly this issue came in translation of text from English to Sindhi. Moreover, the results are based on translated text of English Languages and total three hundred fifty two words (352) were used.

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“…Feeling, only by exploring, and feeling marketing methods can make customers become repeat customers again. erefore, catering companies should try to explore various experiential marketing methods in the catering industry and promote and adjust the long-term healthy growth of the catering industry through marketing thinking [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

New Media Marketing Strategy Optimization in the Catering Industry Based on Deep Machine Learning Algorithms

Peng

2022

Journal of Mathematics

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With the in-depth development of new-generation network technologies such as the Internet, big data, and cloud intelligence, people can obtain massive amounts of information on mobile phones or mobile platforms. The era of unreachable big data has arrived, which raises questions for the development of corporate marketing. With the development of Internet technology, people use mobile terminals for longer and longer periods of time. New media has gradually become the mainstream of the media arena. It has distinctive features such as freedom to find audiences, diverse content forms, and timeliness of information release, which has changed the traditional. The marketing model has a profound impact on the development of the market. This article uses relevant theories, such as new media, marketing, and catering industry marketing strategies, studies the related concepts and characteristics of new media, clarifies the impact of the development of new media on the catering industry and audience groups, and studies the impact of the catering industry from multiple dimensions. Based on the development factors in the new media environment, combined with marketing theory, it puts forward suggestions for catering companies to use new media to carry out marketing planning in product innovation, improving information channels, creating network events and topics, and promoting innovation and health in the catering industry. And a marketing strategy is proposed based on deep machine learning algorithms; including a cloud server, the cloud server communicates with the e-commerce software platform and the input of physical sales is recorded. The adopted cloud server is connected with data collection, data processing, and communication module. The communication module is connected with a deep machine learning algorithm system; that is, deep machine learning algorithm system is connected with a sales platform in communication. The sales platform is connected with advertising settings and advertising, and the advertising is electrically connected with an algorithm of advertising delivery methods. Advertisement delivery method algorithm communication is connected to the cloud server. This article uses deep machine learning algorithms to process the data information to make the data information easy to view and clear. The advertisement delivery method algorithm calculates the best way of advertising and then calculates the advertisement to deliver.

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An English-Chinese Machine Translation and Evaluation Method for Geographical Names

Cited by 28 publications

References 21 publications

Multimodal Music Emotion Recognition Method Based on the Combination of Knowledge Distillation and Transfer Learning

Multimodal Music Emotion Recognition Method Based on the Combination of Knowledge Distillation and Transfer Learning

Identification of Online Statistical Translation and Text Issues in Communication Technologies

New Media Marketing Strategy Optimization in the Catering Industry Based on Deep Machine Learning Algorithms

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