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Method and device for translating natural languages into commands and navigation application of method and device

A natural language, translation technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of complex operation, poor scalability, long computing time, etc.

Inactive Publication Date: 2015-07-08
SHANGHAI XIUYUAN NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The former operation is too complicated, and the calculation time is long under the same computing resources, while the second attempt method in the prior art has poor scalability

Method used

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  • Method and device for translating natural languages into commands and navigation application of method and device
  • Method and device for translating natural languages into commands and navigation application of method and device
  • Method and device for translating natural languages into commands and navigation application of method and device

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Experimental program
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Embodiment 1

[0082] Embodiment 1. A method for translating natural language into machine-readable instructions.

[0083] figure 1 It is a flow chart of the method for translating natural language into machine-readable instructions in Embodiment 1 of the present invention. The embodiment of the present invention will combine figure 1 Be specific.

[0084] like figure 1 As shown, the embodiment of the present invention provides a method for translating natural language into machine-readable instructions, including the following steps:

[0085] Step S101: Create a learning module database, enter sentences, and mark the instruction categories to which the sentences belong;

[0086] Specifically, the sentence is manually entered, and the category to which the sentence belongs is marked, and if the sentence has keywords, the keywords are further marked. The learning module analyzes the entered sentences, which are called learning sentences in the embodiment of the present invention, and the ...

Embodiment 2

[0135] Embodiment 2. A device for translating natural language into machine-readable instructions.

[0136] figure 2 It is a schematic structural diagram of a device for translating natural language into machine-readable instructions according to Embodiment 2 of the present invention. The following embodiments will combine figure 2 Be specific.

[0137] Such as figure 2 As shown, the embodiment of the present invention provides a device 200 for translating natural language into machine-readable instructions, including a learning module 201 and an encoding module 202. The learning module 201 analyzes sentences, that is, creates a learning module database, and enters Sentence, labeling the instruction classification of the sentence, segmenting the sentence based on the manual input dictionary, calling the sentence N to be translated as the guessing sentence, and calling the sentence entered in the learning module database as the learning sentence, and calculating the first ...

Embodiment 3

[0173] Embodiment 3. A method or device application for translating natural language into machine-readable instructions.

[0174] image 3 It is a schematic diagram of the application of the method or device for translating natural language into machine-readable instructions according to Embodiment 3 of the present invention. The following embodiments will combine image 3 Be specific.

[0175] Such as image 3 As shown, a method or device application for translating natural language into machine-readable instructions is mainly applied in smart car navigation, so that the device kitt for translating natural language into machine-readable instructions will currently need to translate Take the guessing sentence "kitt, please tell me how to get there if I want to go to Pudong" as an example, in which kitt can learn natural sentences used in daily life, and then translate more natural sentences based on these sentences.

[0176] In the embodiment of the present invention, by le...

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Abstract

The invention discloses a method and device for translating natural languages into commands and navigation application of the method and device, and belongs to the technical field of speech recognition. The method includes the steps of entering statements and marking instruction classifications of the statements; conducting word segmentation on the statements; calculating first probabilities of all segmentation words, and storing the segmentation words, the first probabilities and the sequence of the segmentation words in the statements into a first data sheet; calculating second probabilities of all segmentation words, and storing the segmentation words, the second probabilities and the instruction classifications into a second data sheet; calculating the first matching degrees between similar studying statements and a conjecturing statement, and judging that the studying statement with the highest first matching degree is more similar to the conjecturing statement; calculating the second matching degrees between all similar command classifications and the conjecturing statement, and judging that the command classification with the highest matching degree is the command classification of the conjecturing statement. By means of the method and device and the navigation application, the natural languages can be translated into commands readable by a machine more accurately and rapidly, and the expandability is good.

Description

technical field [0001] The invention relates to the technical field of voice recognition, in particular to a method and device for translating natural language into instructions and a navigation application thereof. Background technique [0002] Speech recognition technology, also known as Automatic Speech Recognition, (ASR), aims to convert lexical content in human language into computer-readable input, such as keystrokes, binary codes, or character sequences. In the past two decades, speech recognition technology has made remarkable progress and has begun to move from the laboratory to the market. It is expected that in the next 10 years, speech recognition technology will enter various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, and consumer electronics. Especially in recent years, the rapid development of Internet technology has made various industries such as smart home, smart hardware, smart phones, an...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L15/26
Inventor 黄修源江汛洋
Owner SHANGHAI XIUYUAN NETWORK TECH
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