Time Travel: 2014

At this moment, Eve Carly suggested to Lin Hui that Lin Hui find another translator so that simultaneous interpretation could be done directly.

The so-called simultaneous interpretation means that the translator performs simultaneous interpretation work without interrupting the communicator's conversation, which can greatly improve the efficiency of communication.

I have to say, this suggestion is indeed good.

Otherwise, even if Mina Kali is capable of translating.

If Lin Hui and Eve communicate at intervals, the communication efficiency will not be very high.

But where should Lin Hui find a translator?

And it requires someone who has both a computer background and the ability to do translation work.

Lin Hui immediately thought of Huang Jing.

Lin Hui remembered that Huang Jing had a master's degree from the University of Southern California.

It seems that it is not a big problem for such a degree to serve as a translator in computer science.

Lin Hui tentatively asked Huang Jing's opinion over the phone.

Huang Jing seemed to have been waiting for Lin Hui's call for a long time.

He didn't even wait for Lin Hui to elaborate.

Almost without hesitation, he agreed to Lin Hui's request.

…

Eve Kali and Mina Kali after settling in at the hotel.

About three o'clock in the afternoon on the 23rd.

The four of them started an academic discussion.

Of course, it was mainly Lin Hui and Eve Carly who discussed it.

The nature of this discussion is somewhat similar to a small symposium or a brainstorming session.

The meeting place this time was not in a public place, but in Room 601, Building 1, Zhuangyuan University.

This place is the commercial house that Lin Hui won an award at the commendation ceremony not long ago.

1.5 million in cash received at the commendation meeting.

Lin Hui did not keep it and gave it directly to his parents. Of course, the process of giving this money to his parents took a lot of trouble for Lin Hui.

Lin Hui originally planned to give this house to his parents, but Lin's father and mother refused.

Lin Hui's family is not short of housing.

Lin Hui didn't insist, so he simply kept the house for himself.

Speaking of which, this was Lin Hui's first time visiting this place.

A furnished room of more than 130 square meters.

These days, the houses are basically the same, and the layout is not as good as what it was in the next few years.

Of course, Lin Hui got this house as a prize.

He doesn't seem to have any room for choice yet.

The place at Zhuangyuan University is not bad.

In the old city on the west side of Beiyu City, it is not far from the surrounding schools including No. 3 Primary School.

But the tranquility here amidst the hustle and bustle has a unique flavor.

Not far from here is a newly completed artificial lake.

The scenery is pretty good.

The environment is relatively quiet.

It was precisely for these reasons that Lin Hui chose this place as the location for negotiation.

A quiet environment is more conducive to deep thinking.

The discussion began, and Eve Carly first introduced to Lin Hui the many difficulties she encountered in her research.

In fact, Lin Hui remembered that Eve Carly had elaborated on these things in the previous email.

But now it’s explained in more detail.

Lin Hui listened patiently.

Lin's previous worries seemed a bit unnecessary.

Although Mina Kali has not been engaged in related majors.

But in the end, it is the deep love between sisters, and Eve Carly always uses language that is as plain and understandable as possible when expressing it.

Try to take care of Mina's feelings.

There were even times when Lin Hui could directly understand what Eve Carly was saying.

Despite this, Lin Hui still did not lose the translator (Huang Jing) to communicate with Eve Carly.

Some big guys obviously know English.

Why do we still need to bring a translator when it comes to some important occasions?

Translation is not all about translation for its own sake.

It's more about a certain degree of fault tolerance.

Although Lin Hui is quite familiar with things like text summarization, he rarely makes mistakes.

But after all, there are some differences between the two time and space.

Wouldn't it be embarrassing if Lin Hui accidentally revealed something.

In front of ordinary people, if Lin Hui accidentally exposed any professional flaws, it might be difficult to detect.

If you are communicating directly with Eve Carly.

If Lin Hui talks directly to a colleague, there is no guarantee that he will not reveal his flaws.

If there is a translator, it will be more or less a buffer.

Despite this, Lin Hui still had to be cautious when speaking.

Eve Carly introduced to Lin Hui how people in this time and space evaluate text similarity.

According to Eve Carly's statement, Lin Hui only knew.

It turns out that people in this time and space mainly used knowledge base-based methods to calculate semantic text similarity.

However, people mainly use methods based on network knowledge to calculate this time and space.

Lin Hui knew this method.

This type of method is a kind of similarity calculation based on knowledge base.

This method mainly uses large-scale knowledge base resources on the Internet, such as Wikipedia and Ferry Encyclopedia.

Similarity calculation is performed through web page content and hyperlinks between web pages.

With the rapid development of the Internet, network knowledge has become increasingly abundant.

It is naturally a good idea to make full use of resources in the network to calculate semantic text similarity.

However, the method based on knowledge base to calculate semantic text similarity is not just this method.

As far as Lin Hui knows, semantic text similarity calculation methods based on knowledge bases can actually be divided into two major categories according to the type of knowledge base.

In addition to methods based on network knowledge.

Another type is the ontology-based method.

This type of method uses structured semantic dictionaries for calculations.

The basic idea is to use the conceptual information contained in these semantic dictionaries and the hierarchical relationships between concepts to calculate semantic text similarity.

It stands to reason that since you think of the semantic text similarity calculation method based on the knowledge base, you should first think of the ontology-based similarity calculation method.

Why didn’t we think of ontology-based methods first?

Instead, you first thought of a method based on network knowledge?

Recalling Eve's previous self-introduction, Lin Hui suddenly realized.

It's understandable that Eve's team didn't expect this approach.

After all, Eve and his team originally cooperated deeply with Google.

Although it is not easy to use the method based on network knowledge to calculate the similarity of web page content and hyperlinks.

However, the functions implemented by Google/Google's old PageRank algorithm after being introduced into the NLP field are similar to this.

From this point of view, it is understandable that the Eve team, which has had an in-depth cooperative relationship with the Google team, ignores the ontology-based method and directly chooses the method based on network knowledge.

It is said that calculating similarity based on network knowledge method is not easy to implement.

After all, the knowledge granularity in web pages is relatively coarse.

To put it bluntly, there are few useful things in the web page.

In addition, the knowledge structure of some web pages is low.

If all web links are analyzed directly, it will lead to problems such as sparse knowledge content and difficult calculations.

Therefore, it is necessary to find web pages with high web page structure and concentrated knowledge content to be suitable for developing methods for evaluating text similarity based on network knowledge.