Chat robot system and automatic chat method
A chat robot and server technology, applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., can solve the problems of high cost, low accuracy, poor scalability, etc., to reduce hardware investment costs and improve reply accuracy Effect
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example 1
[0043] 1. Predefine the phrase "how old" corresponds to "age" in the robot's phrase library.
[0044] 2. When the robot receives a sentence from the user T-A01 "How old is Xiao Wang?"
[0045] 3. First decompose the user's question into: "Xiao, Xiaowang, Xiaowangduo, how old is Xiaowang, how old is Xiaowang, Wang, Wangduo..." By analogy, combine the combination of each word with the predefined phrase library After comparison, it is found that "how old is" has a predefined phrase "age", then "how old is Xiao Wang?" is converted into the standard language: "Xiao Wang's age?"
[0046] 4. Segment the sentences converted into standard language, respectively "Xiao, Xiaowang, Xiaowangnian, Xiaowang's age, Wang, Wangnian..." and so on, and compare the combination of each word with thesaurus , to obtain the morphemes of each word "Xiao Wang (noun-subject)", "age (noun-subject)", "? (interrogative sentence identification)"
[0047] 5. Judging that the sentence is an interrogative sent...
example 2
[0053] 1. The robot receives a sentence from the user T-A02 "Why is the earth so powerful?"
[0054] 2. Same as Example 1, perform phrase comparison and word segmentation, and get the sentence "earth (noun-subject)", "why (event interrogative word-subject)", "strong (adjective-thought expression)""? (interrogative sentence identification) ".
[0055] 3. Judging that the sentence is an interrogative sentence according to the appearance of the interrogative sentence mark (?) in the sentence.
[0056] 4. According to the occurrence of event interrogative words in the sentence, it is judged that the sentence obtains information from the event database.
[0057] 5. Use nouns as the index (Earth), find "Earth" under the knowledge base, and obtain the index mark.
[0058] 6. Find all the events corresponding to the index in the event library according to the index ID, and find "powerful".
[0059] 7. Obtain the "why" attribute in the event according to the event interrogative word...
example 3
[0061] 1. The robot receives a sentence from the user T-A03 "Is Xiao Zhang pretty?"
[0062] 2. Same as the previous example, phrase comparison and word segmentation, get "Xiao Zhang (noun-subject)", "beautiful (adjective-expression of thought)", "do (modal particle)" and "? (interrogative sentence identification)"
[0063] 3. Judging that the sentence is an interrogative sentence according to the appearance of the interrogative sentence mark (?) in the sentence.
[0064] 4. According to the fact that only adjectives appear in the sentence, and there are no other signs, it is judged that the sentence obtains information from the think tank.
[0065] 5. Use the noun as the index (Xiao Zhang), find "Xiao Zhang" under the knowledge base, and obtain the index identifier.
[0066] 6. According to the index logo, find all the corresponding information of the index in the think tank, and find "beautiful".
[0067] 7. If "beautiful" is found, return the description about "beautiful"...
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