CN111339121A - Intelligent phrase input system based on semantic analysis - Google Patents
Intelligent phrase input system based on semantic analysis Download PDFInfo
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Abstract
The invention discloses an intelligent phrase input system based on semantic analysis, which belongs to the technical field of semantic analysis and comprises a pinyin near meaning input module, a voice input module and a voice recognition module; the pinyin near-meaning input module is used for searching and displaying near-meaning phrases with similar meanings to the edited phrases according to needs when a user edits and selects the corresponding phrases in a pinyin mode, and inputting the corresponding phrases; the invention can select the similar meaning phrase corresponding to the edited single character or phrase when the pinyin editing semantic output is input to the retrieval position, thereby being convenient for improving the accuracy when the semantic retrieval is carried out, and being convenient for the user to realize the semantic retrieval work of the corresponding phrase or single character by utilizing the voice input mode.
Description
Technical Field
The invention relates to the technical field of semantic analysis, in particular to an intelligent phrase input system based on semantic analysis.
Background
Semantic analysis is a logical phase of the compilation process, the task of which is to perform context-related property scrutiny, type-scrutiny, on structurally correct source programs. Semantic analysis is to examine whether a source program has semantic errors or not and collect type information for a code generation stage.
When the existing semantic analysis is used for searching and inputting, because a user does not grasp related phrases comprehensively, when the semantic analysis is carried out, the input phrases can not well reflect semantics, so that the searching work can not be conveniently carried out, and when the semantic searching is carried out, the semantic searching can not be conveniently carried out in a voice mode, so that the searching complexity is increased.
Based on the above, the invention designs an intelligent phrase input system based on semantic analysis to solve the above problems.
Disclosure of Invention
The invention aims to provide an intelligent phrase input system based on semantic analysis, which aims to solve the problems that when the existing semantic analysis, retrieval and input are carried out in the background technology, because a user does not grasp related phrases comprehensively, the input phrases can not well reflect semantics during semantic analysis, the retrieval work can not be conveniently carried out, and the semantic retrieval can not be conveniently carried out in a voice mode during the semantic retrieval, so that the retrieval complexity is increased.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent phrase input system based on semantic analysis comprises a pinyin near meaning input module, a voice input module and a voice recognition module;
the pinyin near-meaning input module is used for searching and displaying near-meaning phrases with similar meanings to the edited phrases according to needs when a user edits and selects the corresponding phrases in a pinyin mode, and inputting the corresponding phrases;
the voice input module is used for the user to recognize and input through single character or phrase voice and feed back the voice single character or phrase information input through broadcasting;
the voice recognition module is used for recognizing and searching all relevant phonetic characters or phonetic words, storing the first input phonetic words and directly providing output of corresponding phonetic words for the next voice input.
Preferably, the pinyin near-meaning input module comprises a pinyin editing input module, a near-meaning word comparison selection module and a semantic output module;
the pinyin editing input module is used for intelligently editing and selecting single characters or phrases required by a user;
the word or phrase comparison selection module is used for automatically searching out word or phrase with similar meaning to the word or phrase when inputting the word or phrase;
and the semantic output module is used for selecting and inputting the near-meaning words or phrases required by the user.
Preferably, the voice input module comprises a voice single character input module, a voice phrase input module and a voice loading module;
the voice single character input module is used for performing voice input when a user needs to use a single character;
the voice phrase input module is used for carrying out voice input when a user needs to use phrases;
and the voice loading module is used for loading the voice information of the user and transferring the voice information to the voice recognition module.
Preferably, the voice loading module comprises a rereading broadcast module;
and the repeated reading broadcasting module is used for repeatedly feeding back and broadcasting again according to the voice information input by the user.
Preferably, the speech recognition module comprises a near-phonetic character retrieval module and a near-phonetic character selection module corresponding to the near-sense word comparison selection module;
the near-sound character retrieval module is used for retrieving related near-sound characters or words according to the single characters or phrases input by the voice;
and the near-phonetic character selection module is used for selectively outputting the near-phonetic characters or phrases to the near-meaning word comparison selection module according to the retrieved near-phonetic characters or phrases.
Preferably, the near-phonetic character retrieval module can divide the phrase into individual characters for retrieval when retrieving the phrase.
Preferably, the voice recognition module further comprises a phonetic character storage module and a near-phonetic word memory module;
the near-phonetic word memory module is used for memorizing the near-phonetic words corresponding to the near-phonetic words when the near-phonetic word selection module selects the near-phonetic words;
and the phonetic character storage module is used for storing the memorized near-phonetic words systematically.
Preferably, the phonetic character storage module comprises a first input feedback module and a phonetic word retrieval module;
the phonetic word retrieval module is used for automatically retrieving corresponding phrases for the phonetic word storage module when receiving a voice signal of the voice input module, and directly inputting the corresponding phrases into the near-meaning word comparison selection module when the corresponding phrases exist in the phonetic word storage module;
and the initial input feedback module is used for guiding the voice signal into the near-phonetic character retrieval module to select the near-phonetic characters when the corresponding word group does not exist in the voice character storage module retrieved by the voice word retrieval module.
Compared with the prior art, the invention has the beneficial effects that: the invention can select the near meaning phrase corresponding to the edited single character or phrase when the pinyin editing semantic output is input to the retrieval position, thereby being convenient for improving the accuracy when the semantic retrieval is carried out, and being convenient for a user to realize the semantic retrieval work of the corresponding phrase or single character in a voice mode by utilizing the voice input mode.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is an overall system framework of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an intelligent phrase input system based on semantic analysis comprises a pinyin near meaning input module, a voice input module and a voice recognition module;
the pinyin near-meaning input module is used for searching and displaying near-meaning phrases with similar meanings to the edited phrases according to needs when a user edits and selects the corresponding phrases in a pinyin mode, and inputting the corresponding phrases;
the voice input module is used for the user to recognize and input through single character or phrase voice and feed back the voice single character or phrase information input through broadcasting;
the voice recognition module is used for recognizing and searching all relevant phonetic characters or phonetic words, storing the first input phonetic words and directly providing output of corresponding phonetic words for the next voice input.
It should be noted that, when analyzing and retrieving according to semantics, by performing pinyin editing input on semantic information required by a user, after input, selecting related near-meaning words for an input single word or phrase can be performed, which can facilitate the user to quickly find a corresponding near-meaning phrase, and in order to reduce the complexity of editing such as manual pinyin and the like, semantic input for the word or phrase by voice can be performed during semantic retrieval, after input, all homophones or phrases corresponding to the voice input by the user are retrieved by recognizing the voice, selection operation is performed, and after retrieval is completed, phrases corresponding to the voice input are stored, so as to facilitate direct use next time.
In a further implementation mode, the pinyin near-meaning input module comprises a pinyin editing input module, a near-meaning word comparison selection module and a semantic output module;
the pinyin editing input module is used for intelligently editing and selecting single characters or phrases required by a user;
the word or phrase comparison selection module is used for automatically searching out word or phrase with similar meaning to the word or phrase when inputting the word or phrase;
the semantic output module is used for selecting and inputting the near-meaning words or phrases required by the user;
when the pinyin is edited and input, the corresponding near-meaning phrase can be automatically searched out according to the edited single character or phrase, so that the user can conveniently select the input and input work of the related near-meaning phrase according to the requirement.
In a further embodiment, the voice input module comprises a voice single character input module, a voice phrase input module and a voice loading module;
the voice single character input module is used for performing voice input when a user needs to use a single character;
the voice phrase input module is used for carrying out voice input when a user needs to use phrases;
the voice loading module is used for loading the voice information of the user and transferring the voice information to the voice recognition module;
when the corresponding entry or single character is input by using voice, the temporary storage and the loading of the voice recognition module are carried out by the voice loading module.
In a further embodiment, the voice loading module comprises a rereading broadcasting module;
the repeated reading broadcasting module is used for performing repeated feedback broadcasting again according to the voice information input by the user;
when the voice single word or phrase is input by manual voice, the entry or single word corresponding to the voice input can be conveniently and repeatedly broadcasted, and a user can conveniently know whether the input voice is correct or not in time.
In a further embodiment, the speech recognition module comprises a near-phonetic character retrieval module and a near-phonetic character selection module corresponding to the near-semantic word comparison selection module;
the near-sound character retrieval module is used for retrieving related near-sound characters or words according to the single characters or phrases input by the voice;
the near-phonetic character selection module is used for selectively outputting the near-phonetic characters or phrases to the near-meaning word comparison selection module according to the retrieved near-phonetic characters or phrases;
after the voice is input, the system can automatically search out the single character or the phrase corresponding to the voice, and can selectively output and input the single character or the phrase.
In a further implementation manner, when the near-phonetic character retrieval module is used for retrieving a phrase, the phrase can be split into single characters for retrieval;
the method is convenient for splitting and searching the near-sound words.
In a further embodiment, the voice recognition module further comprises a phonetic character storage module and a nearsighted word memory module;
the near-phonetic word memory module is used for memorizing the near-phonetic words corresponding to the near-phonetic words when the near-phonetic word selection module selects the near-phonetic words;
the phonetic character storage module is used for storing the memorized near-phonetic words systematically;
when selecting the near-sound word, the near-sound word corresponding to the selected voice can be memorized and stored.
In a further implementation mode, the phonetic character storage module comprises a first input feedback module and a phonetic word retrieval module;
the phonetic word retrieval module is used for automatically retrieving corresponding phrases for the phonetic word storage module when receiving a voice signal of the voice input module, and directly inputting the corresponding phrases into the near-meaning word comparison selection module when the corresponding phrases exist in the phonetic word storage module;
the initial input feedback module is used for guiding the voice signal into the near-phonetic character retrieval module to select the near-phonetic characters when the corresponding word group does not exist in the voice character storage module retrieved by the voice word retrieval module;
when the voice phrases are input, the voice phrases are input into the voice word retrieval module to carry out retrieval work on the word stock, when the corresponding phrases exist in the word stock is retrieved, the corresponding phrases are directly output and input, and when the corresponding phrases do not exist, the phrases in the voice are split and then single character recognition retrieval and input are carried out.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. The utility model provides an intelligence phrase input system based on semantic analysis which characterized in that: the device comprises a pinyin near-meaning input module, a voice input module and a voice recognition module;
the pinyin near-meaning input module is used for searching and displaying near-meaning phrases with similar meanings to the edited phrases according to needs when a user edits and selects the corresponding phrases in a pinyin mode, and inputting the corresponding phrases;
the voice input module is used for the user to recognize and input through single character or phrase voice and feed back the voice single character or phrase information input through broadcasting;
the voice recognition module is used for recognizing and searching all relevant phonetic characters or phonetic words, storing the first input phonetic words and directly providing output of corresponding phonetic words for the next voice input.
2. The intelligent phrase entry system based on semantic analysis as claimed in claim 1, wherein: the pinyin near-meaning input module comprises a pinyin editing input module, a near-meaning word comparison selection module and a semantic output module;
the pinyin editing input module is used for intelligently editing and selecting single characters or phrases required by a user;
the word or phrase comparison selection module is used for automatically searching out word or phrase with similar meaning to the word or phrase when inputting the word or phrase;
and the semantic output module is used for selecting and inputting the near-meaning words or phrases required by the user.
3. The intelligent phrase entry system based on semantic analysis as claimed in claim 1, wherein: the voice input module comprises a voice single character input module, a voice phrase input module and a voice loading module;
the voice single character input module is used for performing voice input when a user needs to use a single character;
the voice phrase input module is used for carrying out voice input when a user needs to use phrases;
and the voice loading module is used for loading the voice information of the user and transferring the voice information to the voice recognition module.
4. The intelligent phrase entry system based on semantic analysis as claimed in claim 3, wherein: the voice loading module comprises a rereading broadcasting module;
and the repeated reading broadcasting module is used for repeatedly feeding back and broadcasting again according to the voice information input by the user.
5. The intelligent phrase entry system based on semantic analysis according to any one of claims 2-3, characterized in that: the voice recognition module comprises a near-phonetic character retrieval module and a near-phonetic character selection module corresponding to the near-sense word comparison selection module;
the near-sound character retrieval module is used for retrieving related near-sound characters or words according to the single characters or phrases input by the voice;
and the near-phonetic character selection module is used for selectively outputting the near-phonetic characters or phrases to the near-meaning word comparison selection module according to the retrieved near-phonetic characters or phrases.
6. The intelligent phrase entry system based on semantic analysis as claimed in claim 5, wherein: when the near-phonetic character retrieval module is used for retrieving the word group, the word group can be divided into single characters for retrieval.
7. The intelligent phrase entry system based on semantic analysis as claimed in claim 5, wherein: the voice recognition module also comprises a phonetic character storage module and a near phonetic word memory module;
the near-phonetic word memory module is used for memorizing the near-phonetic words corresponding to the near-phonetic words when the near-phonetic word selection module selects the near-phonetic words;
and the phonetic character storage module is used for storing the memorized near-phonetic words systematically.
8. The intelligent phrase entry system based on semantic analysis according to claim 7, characterized in that: the phonetic character storage module comprises a first input feedback module and a phonetic word retrieval module;
the phonetic word retrieval module is used for automatically retrieving corresponding phrases for the phonetic word storage module when receiving a voice signal of the voice input module, and directly inputting the corresponding phrases into the near-meaning word comparison selection module when the corresponding phrases exist in the phonetic word storage module;
and the initial input feedback module is used for guiding the voice signal into the near-phonetic character retrieval module to select the near-phonetic characters when the corresponding word group does not exist in the voice character storage module retrieved by the voice word retrieval module.
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