technology finance and machine translation: facilitating the development of technology-based enterprises

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as a leader, bank of shaoxing actively integrates into the construction of the shaoxing science and technology innovation corridor, develops and implements the "jinke loan", accurately empowers the development of technology-based enterprises, and promotes the high-quality development of the local economy with high-quality and efficient financial services. zhejiang dafeng intelligent terminal technology co., ltd. is a typical representative. the company develops high-end mobile phones, bluetooth headsets, watches and other technology products, with steady sales growth and a good credit record. at the end of 2023, the company reached a cooperation with tonino lamborghini, with an increase in order amounts and financing needs. however, enterprises are faced with the problem of "light assets and difficult mortgages", and it is difficult to obtain financial support.

shaoxing bank's "jinke loan" is a solution that precisely empowers technology-based enterprises. it uses machine translation technology to accurately predict and analyze the financing needs of enterprises, tailors a credit model for equipment mortgages, and uses the people's bank of china credit information center's unified registration and publicity system for movable property financing to successfully complete the equipment movable property registration and issue a "jinke loan" of 5 million yuan to the enterprise.

this case proves that machine translation technology can not only help technology-based enterprises better understand and communicate financial services, but also help enterprises overcome financing difficulties. with the continuous development of machine translation technology, its application scope will be further expanded, helping technology-based enterprises to develop rapidly.

machine translation: a bridge across languages

machine translation, also known as automatic translation or language translation, uses artificial intelligence technology to automatically convert information between different languages ​​through algorithms and huge databases. it can translate various forms of information such as text and voice from one language to another to help people better understand and communicate.

the development of machine translation has made great progress and has been widely used in the translation field. it can not only accurately translate professional terms and complex sentences into another language, but also automatically recognize different types of texts, such as news, books, website content, etc. however, machine translation still faces some challenges, such as:

• cultural differences: language is not just a combination of words, but also contains different cultural backgrounds and values. machine translation needs to have a deeper understanding of the expressions of different cultures in order to better complete the translation task.
• contextual understanding: the meaning of a sentence changes in different contexts. machine translation needs to be able to capture the hidden semantic information in the sentence in order to accurately translate the correct meaning.
• natural language processing (nlp): machine translation technology relies on powerful nlp technology and requires continuous learning and improvement of algorithms to better understand and translate various complex sentence patterns and semantic relationships.

in summary, as an emerging technology, machine translation is constantly developing and improving, providing new ways to overcome language barriers and promoting the pace of global communication.