CN107077510A - A kind of information output method and device - Google Patents
A kind of information output method and device Download PDFInfo
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- CN107077510A CN107077510A CN201680003001.9A CN201680003001A CN107077510A CN 107077510 A CN107077510 A CN 107077510A CN 201680003001 A CN201680003001 A CN 201680003001A CN 107077510 A CN107077510 A CN 107077510A
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Abstract
The invention discloses a kind of information output method and device, phonetic entry, and the rapidly desired information of feedback user are understood for realizing.Methods described includes：It is word content by the phonetic entry Content Transformation when receiving the phonetic entry content of user's input；According to default feedback information data storehouse, the feedback information corresponding with the word content is obtained；Export the feedback information.Above-mentioned technical proposal, it is word content by the phonetic entry Content Transformation for inputting user, and the acquisition feedback information corresponding with word content feeds back to user, so that user only can obtain accurate feedback information by phonetic entry, it is manually entered without cumbersome, so as to bring great convenience for user.
Description
The application is based on that the applying date is August in 2015 24, application No. is the application for a patent for invention propositions of CN201510524827.7, entitled " a kind of information output method and device ", and the priority of the application for a patent for invention is required, the application is incorporated herein as reference in the full content of the application for a patent for invention.
The present invention relates to technical field of information processing more particularly to a kind of information output methods and device.
Currently, voice input is increasingly praised highly by people with the development of electronics technology, voice input is that the Content Transformation that people is spoken by speech recognition is a kind of input mode of text.With intelligent terminal popularizing in people's lives, more and more intelligent terminals gradually have the function of that voice service, voice input start to apply in the routine work of user, such as, it is inputted by voice to terminal and proposes problem, the problem of terminal answers user in a manner of voice output again；User's mode by voice input inquires address list in terminal, etc..As it can be seen that the life and work that voice input is user brings great convenience, traditional mode can no longer meet the daily demand of user.By taking banking as an example, when user wants handling bank business, it is generally necessary to dial the service calls of bank, is then selected according to the voice prompting of service calls according to level option, finally handle corresponding business, this method is very troublesome for users, the business level option for needing to wait bank server voice prompting, particularly with some more complicated business, the time that user waits is longer, and need the level of selection more, it can not directly handle the business for wanting to handle.
Summary of the invention
The embodiment of the present invention provides a kind of information output method and device, for realizing understanding that voice inputs, and the rapidly desired information of feedback user.
In a first aspect, providing a kind of information output method, comprising the following steps:
When receiving the voice input content of user's input, the voice input content is converted into word content；
According to default feedback information data library, feedback information corresponding with the word content is obtained；
Export the feedback information.
Some beneficial effects of the embodiment of the present invention may include:
Above-mentioned technical proposal, word content is converted to by the voice input content for inputting user, and it obtains feedback information corresponding with word content and feeds back to user, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, to bring great convenience for user.
In one embodiment, the default feedback information data library is default tree construction, and each node of the default tree construction includes a knowledge point, and the knowledge point is the set of at least two synonyms.
In the embodiment, word content is converted to by the voice input content for inputting user, and obtain from default tree construction
Feedback information corresponding with word content is taken to feed back to user, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, simultaneously, by indicating the knowledge point in default tree construction with the set of multiple synonyms, the accuracy that feedback information is obtained from default tree construction is improved.
In one embodiment, the method also includes:
Establish the default tree construction.
In the embodiment, by establishing default tree construction, user is fed back to so as to obtain feedback information corresponding with word content from default tree construction, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, brings great convenience for user.
It is in one embodiment, described to establish the default tree construction, comprising:
Extract the first keyword in the corresponding word content of voice input content of user's history input；
Merge the synonym in first keyword, obtains knowledge point；
Determine the incidence relation between the knowledge point；
The default tree construction is established according to the incidence relation between the knowledge point；
Corresponding relationship between nodal information and feedback information is set；Or, the corresponding relationship between setting nodal information and label；Wherein, the nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where the node include determines.
In the embodiment, by establishing default tree construction, user is fed back to so as to obtain feedback information corresponding with word content from default tree construction, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, brings great convenience for user.
In one embodiment, the basis presets feedback information data library, obtains feedback information corresponding with the word content, comprising:
Extract the second keyword in the word content；
According to second keyword, knowledge point corresponding with second keyword is matched in knowledge point included by the node from the default tree construction；
Determine the corresponding nodal information in the knowledge point；
According to the corresponding relationship between the corresponding relationship or the nodal information and label between the nodal information and feedback information, feedback information corresponding with the nodal information is determined.
In the embodiment, corresponding knowledge point is matched according to the keyword in word content, and then determine nodal information corresponding with knowledge point, finally determine feedback information, so that the acquisition of feedback information is more accurate, to make user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, brings great convenience for user.
In one embodiment, described according to second keyword, knowledge point corresponding with second keyword is matched in knowledge point included by the node from the default tree construction, comprising:
Determine root node corresponding with second keyword；
According to the level sequence from top to bottom of the default tree construction, knowledge point corresponding with second keyword is matched in the branch in the default tree construction from the root node of the determination.
In the embodiment, root node is determined first, and then knowledge point corresponding with keyword is matched in the branch where root node, without useless work is carried out in other branches again, so that the matching of knowledge point is more quick and precisely, match time is saved, and is more in line with the wish and demand of user, improves the Experience Degree of user.
In one embodiment, determination root node corresponding with second keyword, comprising:
When the default tree construction includes at least two root node, according to priority of at least two root node in the default tree construction, second keyword is matched with knowledge point included in the root node；
Determine root node corresponding with the knowledge point that second keyword matches.
In the embodiment, root node corresponding with keyword is determined according to priority of multiple root nodes in default tree construction, it can be preferably that word content matches the bigger root node of information content, so as to rapidly and accurately match knowledge point in the branch where root node, while being more in line with the wish and demand of user.
In one embodiment, when each nodal information is corresponding with respective label, corresponding relationship between the corresponding relationship or the nodal information and label according between the nodal information and feedback information determines feedback information corresponding with the nodal information, comprising:
Determine the corresponding label of the nodal information；
According to the corresponding relationship between label and feedback information, feedback information corresponding with the label is inquired；
The feedback information corresponding with the label is determined as feedback information corresponding with the nodal information.
In the embodiment, feedback information is determined by the corresponding relationship between label and feedback information, so that the acquisition of feedback information is more accurate, and enables the program suitable for different types of information feedback traffic by adding label for nodal information, to bring great convenience for user.
In one embodiment, the output feedback information, comprising:
Mode exports the feedback information at least one of in the following way:
Voice plays the feedback information；
The feedback information is issued in the form of short message or multimedia message.
In the embodiment, feedback information is exported by different modes, so that the output of feedback information is more flexible, improves the Experience Degree of user.
In one embodiment, described when receiving the voice input content of user's input, the voice input content is converted into word content, comprising:
When receiving the voice input content of user's input, the third keyword in the voice input content is extracted；
According to the corresponding relationship between third keyword and language database, language database corresponding with the third keyword is determined；
According to the language database corresponding with the third keyword, the voice input content is converted into word content.
In the embodiment, voice input content is converted into word content by specific language database, enable voice input content to be accurately converted to the word content that user is intended by, to be the more accurate feedback information of user feedback, improves the Experience Degree of user.
Second aspect provides a kind of information output apparatus, comprising:
Conversion module, for when receiving the voice input content of user's input, the voice input content to be converted to word content；
Module is obtained, for obtaining feedback information corresponding with the word content according to feedback information data library is preset；
Output module, for exporting the feedback information.
In one embodiment, described device further include:
Module is established, for establishing the default tree construction.
In one embodiment, the module of establishing includes:
First extracting sub-module, the first keyword in the corresponding word content of voice input content for extracting user's history input；
Merge submodule, for merging the synonym in first keyword, obtains knowledge point；
First determines submodule, for determining the incidence relation between the knowledge point；
Setting up submodule, for establishing the default tree construction according to the incidence relation between the knowledge point；
Submodule, the corresponding relationship for being arranged between nodal information and feedback information are set；Or, the corresponding relationship between setting nodal information and label.
In one embodiment, the acquisition module includes:
Second extracting sub-module, for extracting the second keyword in the word content；
Matched sub-block, for matching knowledge point corresponding with second keyword in knowledge point included by the node from the default tree construction according to second keyword；
Second determines submodule, for determining the corresponding nodal information in the knowledge point；
Third determines submodule, for determining feedback information corresponding with the nodal information according to the corresponding relationship between the corresponding relationship or the nodal information and label between the nodal information and feedback information.
In one embodiment, the matched sub-block includes:
First determination unit, for determining root node corresponding with second keyword；
Matching unit matches knowledge point corresponding with second keyword from the root node of the determination for the sequence of the level according to the default tree construction from top to bottom in the branch in the default tree construction.
In one embodiment, first determination unit, it is also used to when the default tree construction includes at least two root node, according to priority of at least two root node in the default tree construction, second keyword is matched with knowledge point included in the root node；Determine root node corresponding with the knowledge point that second keyword matches.
In one embodiment, the third determines that submodule includes:
Second determination unit, for determining the corresponding label of the nodal information when each nodal information is corresponding with respective label；
Query unit, for inquiring feedback information corresponding with the label according to the corresponding relationship between label and feedback information；
Third determination unit, it is opposite with the nodal information for being determined as the feedback information corresponding with the label
The feedback information answered.
In one embodiment, the output module includes:
Output sub-module exports the feedback information at least one of in the following way mode:
Voice plays the feedback information；
The feedback information is issued in the form of short message or multimedia message.
In one embodiment, the conversion module includes:
Third extracting sub-module, for extracting the third keyword in the language in-put content when receiving the voice input content of user's input；
4th determines submodule, for determining language database corresponding with the third keyword according to the corresponding relationship between third keyword and language database；
Transform subblock, for according to the language database corresponding with the third keyword, the voice input content to be converted to word content.
Some beneficial effects of the embodiment of the present invention may include:
Above-mentioned apparatus, word content is converted to by the voice input content for inputting user, and it obtains feedback information corresponding with word content and feeds back to user, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, to bring great convenience for user.
The third aspect provides a kind of information output apparatus, which is characterized in that described device includes:
Processor；
For storing the memory of the processor-executable instruction；
Wherein, the processor is configured to:
When receiving the voice input content of user's input, the voice input content is converted into word content；
According to default feedback information data library, feedback information corresponding with the word content is obtained；
Export the feedback information.
In an example of the third aspect, the default feedback information data library is default tree construction, and each node of the default tree construction includes a knowledge point, and the knowledge point is the set of at least two synonyms.
Above-mentioned processor is also configured to
Establish the default tree construction.
Above-mentioned processor is also configured to
Extract the first keyword in the corresponding word content of voice input content of user's history input；
Merge the synonym in first keyword, obtains knowledge point；
Determine the incidence relation between the knowledge point；
The default tree construction is established according to the incidence relation between the knowledge point；
Corresponding relationship between nodal information and feedback information is set；Or, the corresponding relationship between setting nodal information and label；Wherein, the nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where the node include determines.
Above-mentioned processor is also configured to
Extract the second keyword in the word content；
According to second keyword, knowledge point corresponding with second keyword is matched in knowledge point included by the node from the default tree construction；
Determine the corresponding nodal information in the knowledge point；
According to the corresponding relationship between the corresponding relationship or the nodal information and label between the nodal information and feedback information, feedback information corresponding with the nodal information is determined.
Above-mentioned processor is also configured to
Determine root node corresponding with second keyword；
According to the level sequence from top to bottom of the default tree construction, knowledge point corresponding with second keyword is matched in the branch in the default tree construction from the root node of the determination.
Above-mentioned processor is also configured to
When the default tree construction includes at least two root node, according to priority of at least two root node in the default tree construction, second keyword is matched with knowledge point included in the root node；
Determine root node corresponding with the knowledge point that second keyword matches.
Above-mentioned processor is also configured to
Determine the corresponding label of the nodal information；
According to the corresponding relationship between label and feedback information, feedback information corresponding with the label is inquired；
The feedback information corresponding with the label is determined as feedback information corresponding with the nodal information.
Above-mentioned processor is also configured to
Mode exports the feedback information at least one of in the following way:
Voice plays the feedback information；
The feedback information is issued in the form of short message or multimedia message.
Above-mentioned processor is also configured to
When receiving the voice input content of user's input, the third keyword in the voice input content is extracted；
According to the corresponding relationship between third keyword and language database, language database corresponding with the third keyword is determined；
According to the language database corresponding with the third keyword, the voice input content is converted into word content.
Fourth aspect provides a kind of non-transitory computer readable recording medium, and record has computer program on the medium, and described program includes the instruction for executing the method as described in the first aspect of the embodiment of the present invention.
5th aspect, provides a kind of computer program, and described program includes: the instruction for executing the method as described in the first aspect of the embodiment of the present invention when described program is computer-executed.
Other features and advantages of the present invention will be illustrated in the following description, also, partly as will become apparent from the description, or understand through the implementation of the invention.The objectives and other advantages of the invention can by written specification,
Specifically noted structure is achieved and obtained in claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, is used to explain the present invention together with embodiments of the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of information output method in the embodiment of the present invention；
The flow chart that Fig. 2 is step S11 in a kind of information output method in the embodiment of the present invention；
Fig. 3 presets the flow chart of the method for tree construction to establish in information output method a kind of in the embodiment of the present invention；
Fig. 4 is a kind of schematic diagram of default tree construction in information output method a kind of in the embodiment of the present invention；
The flow chart that Fig. 5 is step S12 in a kind of information output method in the embodiment of the present invention；
The flow chart that Fig. 6 is step S123 in a kind of information output method in the embodiment of the present invention；
Fig. 7 is a kind of flow chart of information output method in the embodiment of the present invention；
Fig. 8 is a kind of block diagram of information output apparatus in the embodiment of the present invention；
Fig. 9 is a kind of block diagram of information output apparatus in the embodiment of the present invention；
Figure 10 is the block diagram for establishing module in the embodiment of the present invention in a kind of information output apparatus；
Figure 11 is the block diagram for obtaining module in the embodiment of the present invention in a kind of information output apparatus；
Figure 12 is a kind of block diagram of matched sub-block in information output apparatus in the embodiment of the present invention；
Figure 13 determines the block diagram of submodule for third in information output apparatus a kind of in the embodiment of the present invention；
Figure 14 is a kind of block diagram of conversion module in information output apparatus in the embodiment of the present invention；
Figure 15 is a kind of block diagram of the device of executable information output method in the embodiment of the present invention.
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred embodiments described herein are only used to illustrate and explain the present invention, is not intended to limit the present invention.
In a kind of information output method provided in an embodiment of the present invention, " the first keyword ", " the second keyword " and " third keyword " being previously mentioned is only to distinguish involved in different embodiments " keyword ", and " first " therein, " second ", " third " simultaneously refer not to quantity or ordinal relation on practical significance.
Fig. 1 is a kind of flow chart of information output method in the embodiment of the present invention.As shown in Figure 1, the information output method is used in the server of network side, include the following steps S11-S13:
Voice input content is converted to word content when receiving the voice input content of user's input by step S11.
In the step, language database used is pre-set when converting to voice input content, it is corresponding with the affiliated type of voice input content that user is inputted, wherein the affiliated type of voice input content can be determined by the keyword in voice input content.Therefore, as shown in Fig. 2, step S11 is implementable for following steps S111-S113:
Step S111 extracts the third keyword in voice input content when receiving the voice input content of user's input.
Step S112, according to the corresponding relationship between third keyword and language database, determination is corresponding with third keyword
Language database.
Voice input content is converted to word content according to language database corresponding with third keyword by step S113.
For example, can determine that language database corresponding with keyword " refund " is the language database of the bank field if extracting keyword " refund " from voice input content；If extracting keyword " telephone expenses " from voice input content, it can determine that language database corresponding with keyword " telephone expenses " is the language database of field of mobile communication.When carrying out voice content conversion, the pronunciation of voice input content is identified using preset acoustic database first, for example, acoustic database identifies the pronunciation " a " in voice input content；Then pronunciation " a " corresponding some text is determined according to language database, such as " ", " Ah ", specific corresponding text need to further determine that according to type described in voice input content.It can be seen that, voice input content is converted into word content by specific language database, voice input content is enabled accurately to be converted to the word content that user is intended by, technical term in especially some specific areas, if being likely to matching using general language database not come out, therefore present embodiment can be the more accurate feedback information of user feedback, improve the Experience Degree of user.
Step S12 obtains feedback information corresponding with word content according to default feedback information data library.
Step S13 exports feedback information.
Using technical solution provided in an embodiment of the present invention, word content is converted to by the voice input content for inputting user, and it obtains feedback information corresponding with word content and feeds back to user, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, to bring great convenience for user.
In one embodiment, presetting feedback information data library can be default tree construction, and in default tree construction, each node includes a knowledge point, each knowledge point is the set of at least two synonyms.For example, in a node in default tree construction, including knowledge point " inquiry ", then the knowledge point is the set of multiple synonyms " { inquire, look into, residue how much ... } ".Therefore, before executing step S11, the above method is further comprising the steps of: establishing default tree construction.
The foundation of default tree construction is server by carrying out analysis foundation to multiple sample sentences that history inputs.Fig. 3 presets the flow chart of the method for tree construction to establish in information output method a kind of in the embodiment of the present invention.As shown in figure 3, the method that tree construction is preset in the foundation includes the following steps S31-S35:
Step S31 extracts the first keyword in the corresponding word content of voice input content of user's history input.
Step S32 merges the synonym in the first keyword, obtains knowledge point.
Step S33 determines the incidence relation between knowledge point.
Step S34 establishes default tree construction according to the incidence relation between knowledge point.
The corresponding relationship between nodal information and feedback information is arranged in step S35；Or, the corresponding relationship between setting nodal information and label.Wherein, nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where node include determines, such as, knowledge point included by the child node of root node " refund " is " inquiry ", knowledge point included by the child node of node " inquiry " is " time limit ", so the nodal information of node corresponding to knowledge point " time limit " is and combines " refund ", " inquiry " and " time limit ", i.e. " inquiry payback period ".
In the present embodiment, step S31-S32 can be carried out simultaneously, can also be carried out in order.In addition, can also obtain keyword by deleting the stop word in word content in addition to step S31, stop word is unrelated with feedback information or nodal information
Word.When merging the synonym in keyword, it needs to merge in conjunction with the proprietary term of the affiliated type of voice input content or fields, such as, when primarily determining that the voice input content belongs to the bank field according to the keyword in voice input content, in the word content that so the voice input content is converted into, " remaining sum " and " how much remaining " is then the synonym in keyword, it is combinable together.
In above-mentioned steps S33-S34, incidence relation between knowledge point is by being analyzed synonym collection corresponding to each knowledge point, synonym collection corresponding to each knowledge point has the core meaning that can respectively express, core is meant that by being analyzed all synonyms in synonym collection, it can be characterized with wherein a certain synonym, the core meaning of " { inquire, look into, how much remaining ... } " is " inquiry " for example, knowledge point.In the result analyzed, if the core meaning of a certain knowledge point can cover the core meaning of other all knowledge points, the corresponding node in the knowledge point is then the root node in default tree construction；If the core meaning of the first knowledge point can cover the core meaning of the second knowledge point, the corresponding node in the second knowledge point is then the child node of the corresponding node in the first knowledge point.Furthermore, it may include multiple root nodes in one default tree construction, when comprising multiple root nodes, priority of multiple root nodes in default tree construction can be determined according to the core meaning of knowledge point included by each root node, the information content of the core meaning of knowledge point included by root node is bigger, sequence of the root node in default tree construction is more forward, i.e., priority is higher.When applying in specific field, above-mentioned described information content then means the exact level of the core meaning of knowledge point, such as, in the bank field, the default tree construction established includes multiple root nodes, so, in the knowledge point that multiple root nodes include, the core meaning of knowledge point is more specific, the corresponding root node priority in the knowledge point is higher, such as the core meaning of three root nodes of default tree construction respectively " is inquired ", " card " and " refund ", since the information content that " refund " is included is maximum, that is, for " inquiry " and " card ", " refund " can correspond to a more specifically banking, therefore, highest is set by the priority of " refund " corresponding root node, the top layer being located in default tree construction.It is subsequent for voice input content match root node when, can the priority match root node bigger to information content, and then rapidly and accurately continue from the branch for the root node being matched to matching child node.
As it can be seen that according to it is above-mentioned rule establish default tree construction, make server later period voice input content matching corresponding knowledge point when, can the priority match knowledge point high to priority, to be more in line with the most probable business demand of the user analyzed in advance.Preferably, in same node layer, the higher knowledge point of priority matches the node to keep left, the lower knowledge point of priority matches the node kept right, in this way, can be matched according to sequence from left to right in same node layer when the later period is that voice input content matches knowledge point.The process for presetting tree construction from above-mentioned foundation can be seen that, the core meaning for the knowledge point that each node of default tree construction includes can cover the core meaning of knowledge point included by its all child node, that is, the core meaning of knowledge point included by root node in default tree construction contain user this preset in the affiliated type of tree construction may input content all core meanings, if the voice input content of user's input is matched to some knowledge point in n-th layer node, the knowledge point that some node that so the voice input content can be necessarily matched in the upper layer node of n-th layer node is included, the father node of the corresponding node in the knowledge point being matched to.Therefore, the root node for presetting tree construction should include sufficient, the least knowledge point of number of nodes of classifying, and so on, lower level node quantity is greater than the quantity of upper layer node., can be according to the character classification by age of target user when classifying to clothes by taking the tree construction for establishing garment industry as an example, can also be according to the genre classification of clothes, but the style of clothes is ever-changing, is difficult to cover all types of clothes, causes classification inadequate
Sufficiently and number of nodes is more, and the age of target user can make classification more abundant, therefore using the age of target user as root node, in multiple root nodes, the child node of each root node can classify again according to the style of clothes.
Fig. 4 for the default tree construction that banking is established structure chart.It presets in tree construction at this, the knowledge point that each node includes is indicated by the set of multiple synonyms, such as, knowledge point " inquiry " is the " { inquiry of multiple synonyms, it looks into, it is remaining how much ... " set, knowledge point " card " is multiple synonyms " { card, bank card ... } " set, knowledge point " refund " is that multiple synonyms " { are refunded, pay bills ... } " set, tree construction is preset for convenience of showing, the embodiment indicates its corresponding synonym collection using the core meaning of each knowledge point, as shown in Figure 4, bank server is by analyzing multiple sample sentences that user's history inputs, determine three knowledge points that can sufficiently cover all business of bank: " inquiry ", " card " and " refund ", it therefore can be by " inquiry ", " card " and " refund " these three knowledge Point is distributed to the root node of default tree construction, in root node, since bank card can be divided into credit card and debit card, therefore knowledge point " credit card " and " debit card " can be respectively allocated in the child node of root node " card ", similarly, under node " debit card ", since business relevant to debit card is transferred accounts etc. including inquiry debit card, by debit card, knowledge point " inquiry " and " transferring accounts " can be respectively allocated in the child node of node " debit card ".Similarly knowledge point can be distributed to other nodes in default tree construction, obtain default tree construction as shown in Figure 4.Furthermore, knowledge point included by node in different levels can be directed toward identical synonym collection, as in Fig. 4 the first-level nodes and third node layer in all include knowledge point " inquiry ", but nodal information corresponding to the identical knowledge point on different nodes is different, wherein, " inquiry " corresponding nodal information is " inquiry " in the first-level nodes, and " inquiry " corresponding nodal information is " inquiry debit card " in third node layer.
In one embodiment, as shown in figure 5, step S12 is implementable for following steps S121-S124.
In step S121, the second keyword in word content is extracted.
In step S122, according to the second keyword, knowledge point corresponding with the second keyword is matched in knowledge point included by the node from default tree construction.
In step S123, the corresponding nodal information in knowledge point is determined.
In step S124, according to the corresponding relationship between the corresponding relationship or nodal information and label between nodal information and feedback information, feedback information corresponding with nodal information is determined.
In the present embodiment, step S122 can be embodied are as follows: determine root node corresponding with the second keyword；According to the level sequence from top to bottom of default tree construction, from determining root node in the branch in default tree construction matching knowledge point corresponding with the second keyword.Wherein, the step of determining root node corresponding with the second keyword can be embodied are as follows: when default tree construction includes at least two root node, according to priority of at least two root nodes in default tree construction, the second keyword is matched with knowledge point included in root node；Determine root node corresponding with the knowledge point that the second keyword matches.That is, when matching knowledge point for the corresponding word content of voice input content, it needs to match root node first, if can not match root node, then explanation can not match knowledge point corresponding with word content in default tree construction, also can not just determine the corresponding nodal information of the word content.When including multiple root nodes in default tree construction, since sequence of multiple root nodes in default tree construction is determined according to priority, and the height of priority is the information content of the core meaning for the knowledge point for being included by root node to determine, information content is bigger, priority is also higher, therefore, in multiple root nodes
When for Keywords matching root node, it is matched according to priority of the root node in default tree construction, and if when with some root node successful match, it just no longer needs to be matched with the branch where other root nodes, only it need to continue to match in the branch where the root node in the successful match, when a limb successful match in the voice input content and default tree construction of user's input, it then can determine nodal information corresponding to voice input content, and then feedback information corresponding with voice input content determined according to nodal information.By taking the default tree construction in Fig. 4 as an example, the voice input content of user's input is " I wants to consult when the payback period the latest is ", so according to above-mentioned matching rule, priority match goes out the knowledge point in root node " refund ", then it continues as above-mentioned voice input content in the branch where root node " refund " to be matched, without matching the branch where root node " card " and root node " inquiry " again.In the present embodiment, root node corresponding with keyword is determined according to priority of multiple root nodes in default tree construction, it can be preferably that word content matches the bigger root node of information content, so as to rapidly and accurately match knowledge point in the branch where root node, while being more in line with the wish and demand of user.
After matching knowledge point in default tree construction, that is, it can determine nodal information corresponding with knowledge point.Nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where node include determines.After determining nodal information, it can determine that feedback information corresponding with nodal information, there are two types of mode, mode one is to be determined according to the corresponding relationship between nodal information and feedback information for the determination of feedback information, and mode two is to be determined according to the corresponding relationship between label and feedback information.When the embodiment of employing mode two determines feedback information, need that respective label is arranged for each nodal information in advance.By taking the default tree construction in Fig. 4 as an example, the nodal information of each of default tree construction node represents a kind of business of bank, feedback information is the feedback to specific business, therefore a specific business of bank is also just corresponded to for label set by nodal information, by taking number as an example, " debit card is transferred accounts " is a specific business, settable number 0001, " inquiry debit card " is also a specific business, settable number 0002.Furthermore, it should be noted that, since this is preset in tree construction, the more child node of lower layer and the matching degree of business is higher, and the child node of Ji Yue lower layer can more correspond to a specific business, and the node on more upper layer, it is possible that can not clearly correspond in a specific business, therefore it when number be arranged, needs to be corresponded to indefinite node in one specific business according to the voice input content of history input and the final corresponding relationship between the knowledge point that is matched to.Such as, the knowledge point " inquiry " for including for the first-level nodes, the knowledge point can not clearly correspond to a specific business, and according to historical record, specific business associated with the query has " querying the balance ", " inquiry debit card ", " inquiry transfer accounts record ", " inquiring detail " etc., and in these specific business, " inquiry debit card " is the highest business of history match number, therefore the knowledge point " inquiry " that the first-level nodes include can be corresponded on specific business " inquiry debit card ", so that number 0002 is arranged in the nodal information for the node.At bank server end, it is previously stored with the corresponding relationship of label and feedback information, therefore, as shown in fig. 6, it is following steps S1231-S1233 that step S123 is implementable.
In step S1231, the corresponding label of nodal information is determined.
In step S1232, according to the corresponding relationship between label and feedback information, feedback information corresponding with label is inquired.
In step S1233, feedback information corresponding with label is determined as feedback information corresponding with nodal information.
In one embodiment, step S13 one of in the following way or a variety of can be implemented: voice is played feedback information, is issued feedback information in the form of short message or multimedia message.For example, when the voice input message inputted according to user determines
When feedback information is " inquiring the payback period the latest " out, played out on the subscriber terminal then voice messaging can be converted to the feedback information, or be directly sent to the user terminal in the form of short message or multimedia message.In the present embodiment, feedback information is exported by different modes, so that the output of feedback information is more flexible, improves the Experience Degree of user.
Fig. 7 is a kind of flow chart of information output method in the embodiment of the present invention.In this embodiment, presetting feedback information data library is default tree construction.As shown in fig. 7, this method is used for the server end positioned at network side, include the following steps S71-S78:
Step S71 receives the voice input content of user's input.
Voice input content is converted to word content by step S72.
Step S73 extracts the keyword in word content.
Step S74 matches root node corresponding with keyword from default tree construction.In the step, when there are multiple root nodes, root node corresponding with keyword is determined according to priority of multiple root nodes in default tree construction.
Step S75, according to the level sequence from top to bottom of default tree construction, from determining root node in the branch in default tree construction matching knowledge point corresponding with keyword.
Step S76 determines the corresponding nodal information in knowledge point.In the step, nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where node include determines.
Step S77 determines feedback information corresponding with nodal information.
Step S78 exports feedback information.
Using the technical solution in the present embodiment, word content is converted to by the voice input content for inputting user, and obtain nodal information corresponding with word content, and then get feedback information corresponding with nodal information, feedback information is fed back into user again, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, to bring great convenience for user.
Corresponding to the information output method in above-described embodiment, the embodiment of the present invention also provides a kind of information output apparatus, for executing the above method.
Fig. 8 is a kind of block diagram of information output apparatus in the embodiment of the present invention.As shown in figure 8, the device includes:
Conversion module 81, for when receiving the voice input content of user's input, voice input content to be converted to word content；
Module 82 is obtained, for obtaining feedback information corresponding with word content according to feedback information data library is preset；
Output module 83, for exporting feedback information.
In one embodiment, as shown in figure 9, above-mentioned apparatus further include:
Module 84 is established, for establishing default tree construction.
In one embodiment, as shown in Figure 10, establishing module 84 includes:
First extracting sub-module 841, the first keyword in the corresponding word content of voice input content for extracting user's history input；
Merge submodule 842, for merging the synonym in the first keyword, obtains knowledge point；
First determines submodule 843, for determining the incidence relation between knowledge point；
Setting up submodule 844, for establishing default tree construction according to the incidence relation between knowledge point；
Submodule 845, the corresponding relationship for being arranged between nodal information and feedback information are set；Or, the corresponding relationship between setting nodal information and label；Wherein, nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where node include determines.
In one embodiment, as shown in figure 11, obtaining module 82 includes:
Second extracting sub-module 821, for extracting the second keyword in word content；
Matched sub-block 822, for matching knowledge point corresponding with the second keyword in knowledge point included by the node from default tree construction according to the second keyword；
Second determines submodule 823, for determining the corresponding nodal information in knowledge point；
Third determines submodule 824, for determining feedback information corresponding with nodal information according to the corresponding relationship between the corresponding relationship or nodal information and label between nodal information and feedback information.
In one embodiment, as shown in figure 12, matched sub-block 822 includes:
First determination unit 8221, for determining root node corresponding with the second keyword；
Matching unit 8222 matches knowledge point corresponding with the second keyword in the branch in default tree construction from determining root node for the sequence of the level according to default tree construction from top to bottom.
In one embodiment, the first determination unit 8221 is also used to when default tree construction includes at least two root node, and according to priority of at least two root nodes in default tree construction, the second keyword is matched with knowledge point included in the root node；Determine root node corresponding with the knowledge point that the second keyword matches.
In one embodiment, as shown in figure 13, third determines that submodule 824 includes:
Second determination unit 8241, for determining the corresponding label of nodal information when each nodal information is corresponding with respective label；
Query unit 8242, for inquiring feedback information corresponding with label according to the corresponding relationship between label and feedback information；
Third determination unit 8243, for feedback information corresponding with label to be determined as feedback information corresponding with nodal information.
In one embodiment, output module 83 includes:
Output sub-module exports feedback information at least one of in the following way mode:
Voice plays feedback information；
Feedback information is issued in the form of short message or multimedia message.
In one embodiment, as shown in figure 14, conversion module 81 includes:
Third extracting sub-module 811, for extracting the third keyword in language in-put content when receiving the voice input content of user's input；
4th determines submodule 812, for determining language database corresponding with third keyword according to the corresponding relationship between third keyword and language database；
Transform subblock 813, for according to language database corresponding with third keyword, voice input content to be converted to word content.
Using device provided in an embodiment of the present invention, word content is converted to by the voice input content for inputting user, and it obtains feedback information corresponding with word content and feeds back to user, so that user only can be obtained accurate feedback information by voice input, it is manually entered without cumbersome, to bring great convenience for user.
Figure 15 is a kind of block diagram of the device of executable information output method shown according to an exemplary embodiment.For example, device 1600 can be mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc..
Referring to Fig.1 5, device 1600 may include following one or more components: processor 1601, memory 1602 and communication component 1603.
The integrated operation of the usual control device 1600 of processor 1601 such as operates associated operation with display, telephone call, data communication, camera operation and record.Processor 1601 can execute instruction, to perform all or part of the steps of the methods described above.
Memory 1602 is configured as storing various types of data to support the operation in device 1600.The example of these data includes the instruction of any application or method for operating on device 1600, contact data, telephone book data, message, picture, video etc..Memory 1602 can be realized by any kind of volatibility or non-volatile memory device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
Communication component 1603 is configured to facilitate the communication of wired or wireless way between device 1600 and other equipment.Device 1600 can access the wireless network based on communication standard, such as Wi-Fi, 2G or 3G or their combination.In one exemplary embodiment, communication component 1603 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.In one exemplary embodiment, communication component 1603 further includes near-field communication (NFC) module, to promote short range communication.For example, can be realized based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology, bluetooth (BT) technology and other technologies in NFC module.
In the exemplary embodiment, device 1600 can be realized by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components, for executing above- mentioned information output method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, the memory 1602 for example including instruction are additionally provided, above-metioned instruction can be executed by the processor 1601 of device 1600 to complete above- mentioned information output method.For example, non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc..
The present invention also provides a kind of non-transitory computer readable recording medium, record has computer program on the medium, and described program includes the instruction for executing information output method as described in the above embodiment the present invention.
The present invention also provides a kind of computer program, described program includes: the instruction for executing information output method as described in the above embodiment the present invention when described program is computer-executed.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as the production of method, system or computer program
Product.Therefore, the form of complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the present invention.Moreover, the form for the computer program product implemented in the computer-usable storage medium (including but not limited to magnetic disk storage and optical memory etc.) that one or more wherein includes computer usable program code can be used in the present invention.
The present invention be referring to according to the method for the embodiment of the present invention, the flowchart and/or the block diagram of equipment (system) and computer program product describes.It should be understood that the combination of process and/or box in each flow and/or block and flowchart and/or the block diagram that can be realized by computer program instructions in flowchart and/or the block diagram.These computer program instructions be can provide to the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to generate a machine, so that generating by the instruction that computer or the processor of other programmable data processing devices execute for realizing the device for the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, to be able to guide in computer or other programmable data processing devices computer-readable memory operate in a specific manner, so that instruction stored in the computer readable memory generates the manufacture including command device, which realizes the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that series of operation steps are executed on a computer or other programmable device to generate computer implemented processing, thus the step of instruction executed on a computer or other programmable device is provided for realizing the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram.
Obviously, those skilled in the art various changes and modifications can be made to the invention without departing from the spirit and scope of the present invention.If then the present invention is also intended to include these modifications and variations in this way, these modifications and changes of the present invention is within the scope of the claims of the present invention and its equivalent technology.
Claims (20)
- A kind of information output method characterized by comprisingWhen receiving the voice input content of user's input, the voice input content is converted into word content；According to default feedback information data library, feedback information corresponding with the word content is obtained；Export the feedback information.
- The method according to claim 1, wherein the default feedback information data library is default tree construction, each node of the default tree construction includes a knowledge point, and the knowledge point is the set of at least two synonyms.
- According to the method described in claim 2, it is characterized in that, the method also includes:Establish the default tree construction.
- According to the method described in claim 3, it is characterized in that, described establish the default tree construction, comprising:Extract the first keyword in the corresponding word content of voice input content of user's history input；Merge the synonym in first keyword, obtains knowledge point；Determine the incidence relation between the knowledge point；The default tree construction is established according to the incidence relation between the knowledge point；Corresponding relationship between nodal information and feedback information is set；Or, the corresponding relationship between setting nodal information and label；Wherein, the nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where the node include determines.
- According to the method described in claim 4, it is characterized in that, the basis presets feedback information data library, acquisition feedback information corresponding with the word content, comprising:Extract the second keyword in the word content；According to second keyword, knowledge point corresponding with second keyword is matched in knowledge point included by the node from the default tree construction；Determine the corresponding nodal information in the knowledge point；According to the corresponding relationship between the corresponding relationship or the nodal information and label between the nodal information and feedback information, feedback information corresponding with the nodal information is determined.
- According to the method described in claim 5, in knowledge point included by the node from the default tree construction matching knowledge point corresponding with second keyword it is characterized in that, described according to second keyword, comprising:Determine root node corresponding with second keyword；According to the level sequence from top to bottom of the default tree construction, knowledge point corresponding with second keyword is matched in the branch in the default tree construction from the root node of the determination.
- According to the method described in claim 6, it is characterized in that, determination root node corresponding with second keyword, comprising:When the default tree construction includes at least two root node, according to priority of at least two root node in the default tree construction, second keyword is matched with knowledge point included in the root node；Determine root node corresponding with the knowledge point that second keyword matches.
- According to the method for claim 5, it is characterized in that, when each nodal information is corresponding with respective label, corresponding relationship between the corresponding relationship or the nodal information and label according between the nodal information and feedback information, determine feedback information corresponding with the nodal information, comprising:Determine the corresponding label of the nodal information；According to the corresponding relationship between label and feedback information, feedback information corresponding with the label is inquired；The feedback information corresponding with the label is determined as feedback information corresponding with the nodal information.
- The method according to claim 1, wherein the output feedback information, comprising:Mode exports the feedback information at least one of in the following way:Voice plays the feedback information；The feedback information is issued in the form of short message or multimedia message.
- The method according to claim 1, wherein it is described when receiving the voice input content of user's input, the voice input content is converted into word content, comprising:When receiving the voice input content of user's input, the third keyword in the voice input content is extracted；According to the corresponding relationship between third keyword and language database, language database corresponding with the third keyword is determined；According to the language database corresponding with the third keyword, the voice input content is converted into word content.
- A kind of information output apparatus, which is characterized in that described device includes:Processor；For storing the memory of the processor-executable instruction；Wherein, the processor is configured to executing a kind of information output method, which comprisesWhen receiving the voice input content of user's input, the voice input content is converted into word content；According to default feedback information data library, feedback information corresponding with the word content is obtained；Export the feedback information.
- Device according to claim 11, wherein the default feedback information data library is default tree construction, and each node of the default tree construction includes a knowledge point, and the knowledge point is the set of at least two synonyms.
- Device according to claim 12, wherein the processor is also configured to establish the default tree construction.
- Device according to claim 13, wherein the processor is also configured toExtract the first keyword in the corresponding word content of voice input content of user's history input；Merge the synonym in first keyword, obtains knowledge point；Determine the incidence relation between the knowledge point；The default tree construction is established according to the incidence relation between the knowledge point；Corresponding relationship between nodal information and feedback information is set；Or, the corresponding relationship between setting nodal information and label； Wherein, the nodal information is that the knowledge point that all nodes in the branch according to the default tree construction where the node include determines.
- Device according to claim 14, wherein the processor is also configured toExtract the second keyword in the word content；According to second keyword, knowledge point corresponding with second keyword is matched in knowledge point included by the node from the default tree construction；Determine the corresponding nodal information in the knowledge point；According to the corresponding relationship between the corresponding relationship or the nodal information and label between the nodal information and feedback information, feedback information corresponding with the nodal information is determined.
- Device according to claim 15, wherein the processor is also configured toDetermine root node corresponding with second keyword；According to the level sequence from top to bottom of the default tree construction, knowledge point corresponding with second keyword is matched in the branch in the default tree construction from the root node of the determination.
- Device according to claim 16, wherein the processor is also configured toWhen the default tree construction includes at least two root node, according to priority of at least two root node in the default tree construction, second keyword is matched with knowledge point included in the root node；Determine root node corresponding with the knowledge point that second keyword matches.
- Device according to claim 15, wherein the processor is also configured toDetermine the corresponding label of the nodal information；According to the corresponding relationship between label and feedback information, feedback information corresponding with the label is inquired；The feedback information corresponding with the label is determined as feedback information corresponding with the nodal information.
- Device according to claim 11, wherein the processor is also configured toWhen receiving the voice input content of user's input, the third keyword in the voice input content is extracted；According to the corresponding relationship between third keyword and language database, language database corresponding with the third keyword is determined；According to the language database corresponding with the third keyword, the voice input content is converted into word content.
- A kind of non-transitory computer readable recording medium, record has computer program on the medium, and described program includes the instruction for executing a kind of information output method, which comprisesWhen receiving the voice input content of user's input, the voice input content is converted into word content；According to default feedback information data library, feedback information corresponding with the word content is obtained；Export the feedback information.
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