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Word segmentation method and terminal device based on machine learning

A word segmentation method and machine learning technology, applied in the computer field, can solve the problem of low accuracy of word segmentation

Pending Publication Date: 2019-03-19
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a word segmentation method and terminal device based on machine learning to solve the problem of low accuracy of word segmentation in the prior art

Method used

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  • Word segmentation method and terminal device based on machine learning
  • Word segmentation method and terminal device based on machine learning
  • Word segmentation method and terminal device based on machine learning

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Embodiment Construction

[0031] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0032] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0033] An embodiment of the present invention provides a word segmentation method based on machine learning. combine figure 1 , the method includes:

[0034] S101. Acquire text data that has been manually segmented.

[0035] Optionally, the code that is encapsulated...

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Abstract

The invention provides a word segmentation method and a terminal device based on machine learning. The method includes obtaining text data after manual segmentation; judging a character type for any character in the text data; according to the type of the character, the type of a first preset number of characters adjacent to and before the character in the text data, the type of a second preset number of characters adjacent to and after the character in the text data, obtaining a feature vector of the character, and obtaining a training set; construct word segmentation model and train word segmentation model through training set; According to the trained word segmentation model, the text to be processed is segmented. The invention constructs the feature vector according to the type relationship between the character and the context character, and has better adaptability for word segmentation of different texts, thereby improving the precision of word segmentation.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a machine learning-based word segmentation method and a terminal device. Background technique [0002] In natural language processing or computer language, neologisms are words that have never appeared before, or words that are not included in the dictionary. With the continuous development of Internet technology, a variety of new words have emerged in various industries, especially the emergence of web2.0 applications, which allow users to create web content by themselves, resulting in the emergence of a large number of new words. [0003] In the field of Chinese information processing, since Chinese is not like English and other Western languages, there are fixed separators between words, so Chinese word segmentation is an important basic technology. The emergence of new words greatly affects the accuracy of automatic word segmentation tools, making word segmenta...

Claims

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/289
Inventor 吴壮伟
Owner PING AN TECH (SHENZHEN) CO LTD
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