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3-1! Chelsea won three games in a row, getting better and better. Tottenham ranked in the top four in the Premier League, and Sun Xingyu scored a goal.

Chelsea vs leicester city in the 27th round of Premier League. Chilwell pre-empted, Dhaka’s long-range shot equalized the score, and Havertz and kovacic each scored one goal. Chelsea won 3-1, won 3 consecutive victories in various competitions, and gradually entered a good state. In another match, Tottenham also won 3-1, ranking in the top four, and Sun Xingyu scored 1 goal.

In the 8th minute, the angle of Madison’s shot in front of the penalty area was more appropriate, and Kepa saved steadily. In the 11th minute, the corner kick made a second attack, coulibaly made a cross from the left to the back point, and Chilwell made a successful volley, which was Chelsea’s second league goal leading 0-1! In the 18th minute of the game, Ko Wache, who broke the ball on the front line, made a shot, but Havertz’s left foot shot in the front position of the restricted area was blocked. In the 24th minute, Coe Wache was still divided. After Felix inserted, he formed a single knife, and his volley hit the post and missed the opportunity.

In the 26th minute, Hall suddenly shot a sniper’s shot outside the restricted area, and the ball bounced off the crossbar with a slight broken line. In the 34th minute, Chelsea cooperated smoothly, Enzo scored on the right, Chick received the pass, and Felix covered an easy breakthrough in the middle. However, under the intervention of VAR, Felix’s slightly offside goal was declared invalid. In the 38th minute, Felix broke the ball with the ball in front of his own restricted area. After Dhaka received the ball, his left foot volleyed straight into the dead corner of the lower right corner, 1-1! In the 40th minute, Madison’s shot in the right penalty area was very threatening, and Kepa solved it with one hand. After that, Pereira picked the ball from the right in the restricted area, Ishi Na Qiao volleyed and Kepa volleyed.

In 43 minutes, Madison shot a free kick from the front of the penalty area and hit the wall. At halftime stoppage time, Enzo sent a top cross in the middle, Havertz followed his left foot and scored 1-2, and Chelsea surpassed the score. The transfer fee of the two stars added up to nearly 200 million euros!

After the first half, Gallagher replaced Felix, and leicester city’s offensive strength was significantly enhanced. In the 62nd minute, Havertz missed a long shot with his right foot at the top of the arc. In the 65th minute, Kepa made a mistake in the attack, and Sutar’s tackle in the small restricted area was cleared by the goalkeeper Chelsea defender. In the 67th minute, Chilwell scored a corner kick, and Havertz headed the goal to be solved by Ward. In the 71st minute, Kepa hit a ball not far away, nobody defended it, and Hall missed an excellent opportunity by pushing his left foot at close range.

In the 71st minute, Chick and Chilwell were both substituted. Moudrek scored a single goal in the 74th minute, but offside was ineffective. In the 77th minute, Moudrek’s header ferry and Ko Wache’s right foot volleyed into the goal, 1-3! In 87 minutes, Fass was sent off when two yellows turned into one red.

Meanwhile, in another match, Tottenham beat Nottingham Forest 3-1. Kane scored twice, and Sun Xingyu also scored a goal. voller overtook the visiting team. Tottenham goalkeeper Foster saved Jordan Ayu from a penalty in injury time.

Will ChatGPT "kill" the translation industry? How powerful is the era of artificial intelligence?

How popular is ChatGPT recently? Only one week after its launch, it has exceeded 200 million users, 89% of American students use ChatGPT to do their homework, and some students get full marks for the papers written by ChatGPT. What’s even more surprising is that when you talk to ChatGPT, you enter Zhihu style-a novel that starts with "You don’t really think"? ChatGPT fed back a short story in a few seconds.

Although the story is very old-fashioned, the overall structure is complete. In the field of translation, ChatGPT is omnipotent. You can ask him to act as an interpreter and give him some requirements.

ChatGPT’s translation gives you the feeling that it is no longer a cold machine, but a caring assistant, which can generate a translation that meets your requirements better and even help you do some inspection, interpretation and polishing. For example, you can ask ChatGPT to act as an interpreter and make some demands:

You can also ask ChatGPT to act as a quality supervisor and help us check the low-level mistakes in the translation:

Of course, ChatGPT can even help to polish the machine-translated text with a strong "machine-turned flavor":

After the overall experience, it is found that the flavor of "machine translation" is no longer so strong whether it is text or translation generated by ChatGPT. However, it is worth mentioning that there are still some differences between ChatGPT and mainstream commercial rollover systems.

ChatGPT is a dialogue model. In order to ensure the diversity of generated answers, each result is "Sample" from the model, while most commercial machine translation engines are decoded by "beam search", which is the optimal solution of the model.

The traditional evaluation of machine translation is mostly from the sentence level, but obviously ChatGPT should have a stronger understanding of documents and contexts. If the translation task at the document level is used for evaluation, ChatGPT should have a better effect on context consistency and texts that rely on contextual information for understanding.

With the increasing number of products such as machine translation and ChatGPT, many people are beginning to think that machine translation will eventually replace human translation. Yayan Translation has written several articles about machine translation before, and the unified answer is that machine translation can’t completely replace human translation, and human translation can’t "dry up" machine translation.

For such an era of artificial intelligence, the emergence of products such as machine translation and ChatGPT should not be rejected because of fear, but should embrace them and understand them, making them favorable tools to improve their work efficiency.

At the end of this article, I want to tell you that in the foreseeable future, artificial intelligence will be an important stage of development and machine translation will also become one of the important projects. But in any case, human translation will not be forced to "be laid off" because of this, and the demand for human translation in the market will always be just needed.