DeepL

       DeepL is an online translation software launched by a German company, which adopts deep learning algorithms, and its translation quality is high, which is regarded as "the closest translation to human beings". DeepL currently supports translation into and from many languages, including Chinese and English, but there is a limitation on the number of times it can be used in its free version. Its advantages and disadvantages are as follows:

Pros:

(1) High translation quality: DeepL translations use the most advanced artificial intelligence technology and neural networks, which are capable of producing higher-quality results in a short period of time, and are especially good at dealing with specialized terminology and technical texts.

(2) Multi-language support: DeepL Translator supports multi-language translation, covering the world's major languages, which is of great help both in daily life and in work and study.

(3) Linguistic fluency: the translation results of DeepL translation are more fluent, especially when translating long and complex sentences, the translation results are more accurate and fluent.

(4) Simple and clear interface: the interface of DeepL translation is simple and clear, easy and convenient to operate, and the user experience is good.

(5) Privacy protection: DeepL translation emphasizes the protection of users' privacy and will not use the text entered by users for commercial purposes.

Cons:

(1) There are usage limitations: The free version of DeepL Translator has certain limitations on its usage, for example, you can only translate a specific number of words per day, and you need to purchase the premium version to unlock more features.

(2) Relatively slow: Since DeepL translation uses more complex artificial intelligence techniques and neural networks, it is relatively slow and takes some time to process longer texts.

(3) Relatively simple functions: DeepL translation is relatively simple compared with other online translation tools, lacking some intelligent functions, such as OCR recognition.