The emergence and application of mobile bet365 intelligence technologies such as ChatGPT，For Linguistics、mobile bet365 Teaching、Writing、Publishing and other fields have brought certain impact，And caused a lot of controversy。With the continuous influx of technology companies and the increasing number of global users，Various voices of support and opposition also continue to appear。Modern linguistics, which was born out of structural linguistics in the early 20th century, has been developing for a hundred years。Facing the challenges of mobile bet365 intelligence technologies such as ChatGPT，Can linguistics answer the questions brought about by machine mobile bet365 intelligence？How to face the voices of support and opposition？Can it guide the development of machine mobile bet365 intelligence？New issues in the era of mobile bet365 intelligence、New Challenge，Linguistics needs to actively respond through unremitting exploration and theoretical innovation。

　　Related mobile bet365

In the discussion about mobile bet365，The supported sounds can be summarized into at least two types。First, mobile bet365 effectively promotes the development of big data and machine learning models，In Funds、Talent、Technology、Applications and other aspects will attract more resources，It may be possible to achieve greater technological progress and breakthroughs。To a certain extent it can be said，mobile bet365 has passed the Turing test at the text level (machine can talk to people like humans)，This will allow more and more resources to promote the development of this technology based on big data and machine learning。Secondly, mobile bet365 is very easy to use，Should make good use of it。mobile bet365 is a very convenient tool，You can generate results that meet the requirements through simple commands。Although it’s not perfect yet，But it can save a lot of time and energy。

At the same time，Relevant criticism and opposition voices can be roughly summarized into three types。First, ChatGPT doesn’t know what it is doing。It is just a model trained based on very large-scale mobile bet365 data，Not much learning and cognitive ability，Not to mention thinking。Sometimes，The content it generates is also imprecise，Often arrogant and disrespectful，It just seems that the expression is very fluent。Second, ChatGPT will interfere with the normal order of school teaching and paper writing。Students can use ChatGPT to generate text to complete assignments or write papers、Book report、Program code, etc.，This may make it difficult for many students to receive normal knowledge and skill training，Thereby disturbing the normal teaching order。Third, ChatGPT challenges traditional linguistics、Psychology、Literature and Arts and Humanities，Many intellectual property rights were also generated、Internet fraud and other related legal issues。ChatGPT basically does not use traditional linguistics、Research results in psychology，And mainly relies on big data and neural network models。For linguists，This is a very big challenge。Linguistics has a glorious history，There are a lot of descriptions of phenomena and summary of rules in various languages，But failed to provide a theoretical basis for products such as ChatGPT。

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How should linguists rationally deal with the impact of mobile bet365 intelligence technologies such as ChatGPT？Want to answer this question，Let’s go back to Chomsky’s paper “Three Models of Descriptive mobile bet365” published in the 1950s。In this paper，Chomsky pointed out the problem with the Markov model，Believe that Markov’s mathematical model is not enough to generate legal natural mobile bet365 sentences。When comparing human children to this empirical mathematical model，Chomsky thinks，Human children generally learn to speak at around 3 years old，But they do not need large-scale mobile bet365 data as the basis for learning，mobile bet365 acquisition requires fewer examples。and，Chomsky distinguishes between the human innate mobile bet365 acquisition device (brain hardware) and the acquired mobile bet365 acquisition process，More emphasis on syntactic research that can generate legal sentences。In a recent interview，Chomsky thinks，ChatGPT is “plagiarism” based on high technology on massive data，Pursuing ChatGPT is a waste of resources。

The Markov model focuses on the probability of continuity between the words before and after the sentence。As a pioneer in statistical learning models based on linguistic data，This model was proposed as early as the beginning of the 20th century。But not until the 1980s and 1990s，With the continuous development of computers’ large-scale storage capabilities for mobile bet365 data and computer computing power，This model is only used in speech recognition、Input method、Brilliant in tasks such as part-of-speech tagging，And has dominated the field of computational linguistics for about 20 years。After，This model is gradually replaced by other better statistical learning models (such as the maximum entropy model、Support Vector Machine、Conditional random fields, etc.)。Since 2006，Neural network models based on deep learning continue to make progress，In voice、image、Extraordinary achievements have been made in text and other fields。The neural network model was proposed in the 1940s。After more than 60 years，This model continues to evolve with the continuous development of computer software and hardware，The effect is getting better and better，Not only can generate more and more legal sentences，Can also “understand” human mobile bet365 better。Natural mobile bet365 processing technology based on big data and machine learning，has become mainstream in computational linguistics and industry。

ChatGPT has also experienced this evolution，Previous GPT 1-3 generations，Performance is getting stronger and stronger，Continuously refreshing linguists’ knowledge。2018，GPT-1 is at about 4.Trained on 5GB of data，The parameters of the model are about 1.200 million。2020，GPT-3 is learned and trained on about 570GB of corpus，The model has up to 175 billion parameters。ChatGPT uses deep learning technology to train a large model on large-scale mobile bet365 data，Generate an answer based on the user’s question。In this process，It completes the two major tasks of natural mobile bet365 understanding and generation。Computers are different from human brains，Difficult to characterize like a human、Perceiving and understanding meaning。The so-called understanding and generation，In dialogue tasks, it becomes a large model to generate answers based on questions。From the actual effect，The role of machine learning is similar to the human mobile bet365 acquisition mechanism，Massive data is similar to human mobile bet365 acquisition data，The large model is like human mobile bet365 ability。In the foreseeable future，ChatGPT will continue to develop，Voice may be integrated、image、Machine sensing data of video and even more modalities，Representation and operation of meaning using multi-modal approximation，Form a constantly updated multi-modal dialogue system that is even more natural、Perfect human-computer interaction system。This strong development momentum，We should pay enough attention to it，Rational analysis of its principles、Advantages and Disadvantages，Discuss countermeasures。

　　Active response

It seems now，Big data input + neural network model，It may be regarded as another mobile bet365 acquisition and generation mechanism besides the human brain。Just like the airplane invented by humans，Flying does not necessarily require two flapping wings like a bird。Aerodynamics、Materials and various engines, etc.，Opened up a new world of aerospace。The main problem here is，Some new technologies are not derived from traditional disciplines。This development route of ChatGPT，It is a technical approach independent of linguistics。In addition to its mathematical foundation and software and hardware technology，There is no complete theory of mobile bet365，Significant progress has been made。To this，We need to develop new theories based on the practice of these technologies、New method，Innovation in linguistic theory has become a top priority。Specifically，New linguistic theory needs to explain three new issues。

First，Why ChatGPT doesn’t need a human brain，We can achieve better human-machine dialogue effects by relying only on big data and large computing power？In other words，Computer based on von Neumann structure and mathematical model based on neural network，What kind of problem was solved，Enable ChatGPT to imitate human mobile bet365 capabilities to a certain extent。Currently，This mainly relies on joint research by experts in the field of machine learning and computational linguists in the industry。But in the existing discussion，They were also very surprised by the performance of ChatGPT，That is, being able to achieve better performance in general fields (not just specific fields such as weather forecasting)。Currently，They do not have a very clear theoretical system and theoretical explanation。This may require the participation of linguists，Clarify the basic reasons why ChatGPT is relatively successful。

Next，Can I use ChatGPT’s technology，Exploring the mystery of human mobile bet365 ability based on big data？Currently，ChatGPT’s English skills are better than Chinese。Is it simply a matter of data volume，Chinese is still more difficult to process than English？At the same time，We also need to further consider the question: whether big data and artificial intelligence methods can be used to study mobile bet365？The amount of data in human mobile bet365 is huge，But most of them could not be recorded in ancient times。In the information age of the 21st century，Human mobile bet365，Especially languages ​​written on electronic devices，Growing by hundreds of millions every day。Past，Linguists mainly use case investigation methods，Research on mobile bet365 phenomena、Summary of mobile bet365 rules。Today，Massive data on the Internet，Provides a lot of research materials for linguists。The sheer scale of this raw material，It is difficult to read and grasp by oneself。Over 400 years，Astronomy uses the continuous development of telescopes and other equipment to observe massive astronomical data，Then use computational modeling methods to continuously reconstruct the universe model，Achieved many important breakthroughs。Then，In the 21st century，Can we use artificial intelligence and big data analysis technology，Helping linguists analyze and construct mathematical models of human mobile bet365？

Finally，Is it possible to study computer-based mobile bet365 acquisition theories and methods？Supercomputers can conduct various parameter training based on massive mobile bet365 data in a short time。With the development of mobile bet365 intelligence technology，We may need to distinguish between two different theories of mobile bet365, those based on computers and those based on computers。On the one hand，The combination of the two can better study the fundamental properties and laws of mobile bet365。On the other hand，Exploring machine-based mobile bet365 theory，Can help artificial intelligence technology move towards a more mature stage of mobile bet365 intelligence，Thus producing more and more useful mobile bet365 intelligence products for human society。What’s more important，mobile bet365 intelligence technology is making computers a new experimental field besides the human brain。There are ethics in experimenting on human brains、Restrictions by laws and many other factors；On the new experimental field of computers，Researchers can put linguistics、Psychology、Various discoveries in neuroscience and other disciplines、Various rules、Computations and experiments on various mathematical models，Thus making it an important basis for verifying and improving the theory，And help further development in these fields。

Methods and applications of mobile bet365 intelligence technologies such as ChatGPT，Brings certain challenges to traditional linguistic theory，At the same time, it also brings opportunities for innovation in linguistic theory。Massive real mobile bet365 data、Very large-scale data analysis and machine learning technology, etc.，All have brought new resources and methods to linguistics，Provides an important foundation for theoretical innovation in linguistics。

　(mobile bet365 article is a phased result of Jiangsu Province’s Educational Science “14th Five-Year Plan” project “Construction and Practice of a New Ecosystem of Teaching Resources for Artificial Intelligence” (D/2021/01/120)

(Author’s unit: College of Liberal Arts, Nanjing Normal University；School of Foreign Languages, Jinling University of Science and mobile bet365)