The invention discloses a
natural language processing technology research and development method based on a
graph theory, and the research method comprises the following steps: 1, storing a natural conversation through a
graph database according to a Chinese character sequence, and instantly forming character association statistics of an N-
Gram model; 2, conversation sentences are processed according to a
sentence segmentation rule, a connection chain of characters is formed, when the class of data reaches a certain magnitude, the occurrence frequency of adjacent
Chinese characters on the same chain is counted, and N-
Gram data is formed; and 3, forming a
pyramid structure from
Chinese characters to words to phrases to sentences based on the rules, tightly binding the rules and Chinese character data, forming a
processing method of data, namely a
processing unit, through a
graph theory method, and carrying out intervention calibration on the formed rules through a semi-
supervised learning method. By means of the mode, the relation between the elements of the
natural language can be extracted more quickly and more visually, and the extracted
natural language rule is more accurate, more concise and easier to maintain.