Text error correction method
A text error correction and target text technology, applied in text database query, unstructured text data retrieval, natural language data processing, etc., can solve the problem of reducing user experience, affecting consultation recognition, and dialogue systems that cannot reply to sentences with typos, etc. problem, to avoid collection and sorting, reduce errors, and correct the effect of high accuracy
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[0030] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0031] The content of the present invention will be described in detail below in conjunction with the examples.
[0032] refer to figure 1 As shown, it is a flowchart of a text error correction method provided by an embodiment of the present invention. This method mainly uses the TF-IDF algorithm and the N-gram model to correct the text with typos in the dialogue system. details as follows:
[0033] (1) The TF-IDF algorithm involved:
[0034] TF-ID is the abbreviation of term frequency–inverse document frequency. This algorithm uses a statistical method to measure the importance of a word in a text, and is often used in information extraction, text mining and other scenarios. The core of the algorithm is to calculate the tf value and idf value of a word in a text.
[0035] TF is the abbreviation of term frequenc...
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