Baidu's Robin Li's macro perspective on how technological change affects the development of multilingualism

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Before discussing the relationship between Baidu CEO Robin Li's suggestion that young people do not have to study AI and the development of multilingual technology, let's first understand the current application scenarios and importance of multilingual technology. Multilingual technology plays a key role in today's era of globalization. For example, cross-border e-commerce platforms need to provide services to users from different countries and regions. Multilingual interfaces and content can greatly enhance user experience and facilitate transactions. For another example, in the international tourism industry, multilingual tour guide information, hotel reservation systems, etc. can provide convenience for tourists.

So, how is multilingual technology implemented? This has to mention the multilingual generation of HTML files. By using tags and attributes in HTML pages, we can achieve multilingual switching of page content. For example, using `The `tag creates a language selection menu, and users can choose the displayed language according to their needs. For another example, the `` tag can be used to introduce style sheets in different languages ​​to ensure that the page is presented consistently in different language environments. Looking back at Baidu's Robin Li's opinion, he believes that young people do not have to study AI. This view reflects the current development status of the AI ​​field and the changes in talent demand. Although the AI ​​field is popular, the competition is fierce, and it is not only professional learning that can enter this field. This also brings some inspiration to our thinking about the development of multilingual technology. For the development of multilingual technology, on the one hand, we need professional technical talents to continuously promote technological innovation and optimization. But on the other hand, we cannot rely solely on professional personnel. Interdisciplinary knowledge integration and innovative thinking are equally important. As Robin Li said, it is not necessary to go through professional learning. Personal interests and independent learning ability can also play a huge role in technological development. In addition, the development of multilingual technology still faces some challenges. For example, the grammar, vocabulary and expression of different languages ​​are very different, and how to ensure the accuracy and naturalness of translation is a difficult problem. Moreover, as new languages ​​and dialects continue to emerge, multilingual technology needs to be constantly updated and improved to adapt to changing needs. In response to these challenges, we can draw on the experience and technology of other fields. For example, the development of natural language processing technology has provided new ideas and methods for multilingual translation. Machine learning algorithms can improve the quality and accuracy of translation through a large amount of corpus training. At the same time, the application of cloud computing and big data technology makes the storage and processing of multilingual data more efficient and convenient. In short, Baidu Robin Li's views provide us with a unique perspective for thinking about the development of multilingual technology. In the future development of multilingual technology, it requires both the guidance of professional talents and interdisciplinary cooperation and innovation. At the same time, it is necessary to constantly overcome various challenges to better serve the development of global society and economy. .addtime{ text-align: right; } .language { padding-left: 15px; font-size: medium; }