Text error correction method and device, computer readable storage medium and terminal equipment
A text error correction and terminal equipment technology, applied in computer parts, computing, voice analysis, etc., can solve the problem of low error correction accuracy and achieve the effect of improving error correction accuracy
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example 1
[0072] Example 1: When the user opens the iQiyi app, Youku app and other film and television apps, the voice input "wo xiang zhaolang ya bang", after ASR recognition, "I want to find a mace". Through the above method to process "I want to find a mace" and its context information, the classification r can be obtained as a movie scene.
example 2
[0073] Example 2: When a user opens a map app such as Baidu Maps app and Gaode Maps app, the voice input "wo yaozhao lang ya bang", and after ASR recognition, the user gets "I'm looking for a mace". Through the above method to process "I'm looking for a mace" and its context information, the classification r can be obtained as a regional scene.
[0074] Step S103: Determine a puzzle set of the first text data according to the usage scenario.
[0075] In this embodiment, a traditional machine learning language model method can be used to construct a confusion set, which is a set composed of various possible candidate values of words in the first text data. This step is mainly divided into two parts: building a language model and building a puzzle set. Use the built language model to identify and extract the wrong words in the ASR recognition results, and use the classification number n of the scene classification module to construct the corresponding n puzzle sets. Each puzzle se...
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