CN202815832U - Realizing system of distributed intelligent interaction with natural language - Google Patents
Realizing system of distributed intelligent interaction with natural language Download PDFInfo
- Publication number
- CN202815832U CN202815832U CN 201220136652 CN201220136652U CN202815832U CN 202815832 U CN202815832 U CN 202815832U CN 201220136652 CN201220136652 CN 201220136652 CN 201220136652 U CN201220136652 U CN 201220136652U CN 202815832 U CN202815832 U CN 202815832U
- Authority
- CN
- China
- Prior art keywords
- module
- natural language
- control module
- human
- parsing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- User Interface Of Digital Computer (AREA)
Abstract
The utility model discloses a realizing system of distributed intelligent interaction with natural language. The system includes a man-machine interaction device, a man-machine interaction control module, a natural language parse/understanding module, an execution/response control module, an execution command distribution module, a natural language transition/expression module, and a processing node. wherein, the man-machine interaction control module is respectively connected with the man-machine interaction device, the natural language parse/understanding module, the natural language transition/expression module, and the execution/response control module respectively, the execution command distribution module is connected with the execution/response control module, and the processing node is connected with the execution command distribution module. The realizing system provided can complete complex problems and greatly improves the success rate of tasks.
Description
Technical field
The utility model relates to the computer network communication technology field, particularly relates to a kind of mutual realization system of distributed intelligence that adopts natural language.
Background technology
Man-machine interaction is the technology that effectively realizes people and computer dialog by computer input, output device, and these input-output device are called interactive device; The type decided of interactive device interactive form.Man-machine interaction is the approach that people and information world are linked up, and reasonably interactive form can provide good user to experience.
In the prior art, the interactive mode of people and computing machine comprises following two kinds of patterns: 1, human and computer adopts the machine language direct interaction, this technology has following shortcoming: (1) user (people) connects with known a certain individual machine, alternately, explain problem, Solve problems, be difficult to solve complicated problem, for most people, owing to do not understand professional knowledge or to the ability of service side's machine, operation conditions is not understood, therefore, may not necessarily find easily and be fit to its machine of dealing with problems, even find suitable machine, also may not necessarily find suitable using method, the success ratio of finishing the work is lower; (2) because the user will adopt machine language and server interaction information, therefore the people at first will convert idea originally to machine accessible language, this has increased people's thinking workload, be that the people must deacclimatize machine, people's professional knowledge is had relatively high expectations, and the content of inputting, exporting is more, order is complicated, parameter is various, uses extremely inconvenience, and the information transformed error of user's original meaning and the problem of alienation also can occur in this process; 2, human assistance is mutual, in this technology, the user adopts natural language to carry out information interaction by the operator on communication network and backstage, this technology has following shortcoming: after (1) connects by communication network, be presented as that the person to person's is mutual, rather than man-machine mutual, knowledge and data that the operator grasps are limited, may not necessarily satisfy the needs that the user deals with problems; (2) in addition, usually behind user's off-line, serve and namely come to an end, the operator can not continue as its open question again and seek way, and namely being difficult to user's solution needs time problem long, that constantly follow up; When (3) user need to solve the problem of some secrets or privacy, usually be ashamed to mention and propose, so the proposition of this class problem and replying all is very restricted.
The utility model content
The purpose of this utility model is to overcome the deficiencies in the prior art, and the utility model provides a kind of mutual realization system of distributed intelligence that adopts natural language, can finish challenge, greatly improves the success ratio of finishing the work.
In order to address the above problem, the utility model proposes a kind of mutual realization system of distributed intelligence that adopts natural language, described system comprises:
Be used for receiving the request with the natural language formal representation that the human-computer interaction device sends, described request with the natural language formal representation is sent to natural language parsing/Understanding Module, the described result that represents in the machine language mode is converted to the executable order of machine, and the executable order of described machine sent to described execution/response module, described return results with natural language expressing is sent to described human-computer interaction device's human-computer interactive control module;
The request with the natural language formal representation that is connected with described human-computer interactive control module, be used for to receive the user, and receive that described human-computer interactive control module sends with the return results of natural language expressing and the human-computer interaction device who shows;
Be connected with described human-computer interactive control module, be used for obtaining the result that represents in the machine language mode according to the request with the natural language formal representation from described human-computer interactive control module of sending, and the described result that represents in the machine language mode is returned to the natural language parsing/Understanding Module of described human-computer interactive control module;
Be connected with described human-computer interactive control module, be used for the described return results that represents with machine language is converted to return results with natural language expressing, and module is changed/expressed to the natural language that described return results with natural language expressing sends to described human-computer interactive control module;
Be connected with described human-computer interactive control module, be used for to described machine executable order and carry out task analysis, obtain the tasks carrying routing table, and described tasks carrying routing table sent to the execution/response module of fill order distribution module;
Be connected with described execution/response module, be used for according to received execution routing table task being distributed to corresponding at least one processing node on the network, the return results of finishing the work and processing and obtain to represent with machine language by described at least one processing node, and the described return results that represents with machine language sent to the fill order distribution module that module was changed/expressed to described natural language;
The processing node that is connected with described fill order distribution module, be used for finishing the work the return results processing and obtain to represent with machine language.
Preferably, described human-computer interactive control module comprises:
Natural language transmitting-receiving buffer portion;
The parsing that is connected with described natural language transmitting-receiving buffer portion respectively/comprehension strategy control module and conversion/expression strategy control module;
The automatic parsing that is connected with described parsing/comprehension strategy control module/understand routing module control;
The artificial parsing that is connected with described parsing/comprehension strategy control module/understand routing module control;
The order synthesis module that is connected with described parsing/comprehension strategy control module;
With automatic conversion that described conversion/the expression strategy control module is connected/expression routing module control;
With artificial conversion that described conversion/the expression strategy control module is connected/expression routing module control;
What be connected with described conversion/expression strategy control module receives buffer portion with execution result.
Preferably, described processing node is connected with described fill order distribution module by wired/wireless communication network.
Preferably, described system also comprises: change/express module with the natural language that described human-computer interactive control module is connected.
Preferably, described natural language parsing/Understanding Module comprises a plurality of natural language parsing/Understanding Modules that are distributed on the network.
Preferably, described natural language parsing/Understanding Module comprises a plurality of parsings/automatic processing module of understanding and a plurality of parsing/understand artificial treatment module.
Preferably, described natural language is changed/is expressed module and comprises that a plurality of natural languages that are distributed on the network change/express module.
Preferably, described natural language is changed/is expressed module and comprises a plurality of conversions/automatic processing module of expression and a plurality of conversion/expression artificial treatment module.
Preferably, described processing node comprises automatic processing node and artificial treatment node.
In the utility model embodiment, the user is by a plurality of natural language parsing/Understanding Modules on the tactful route sensing serial or parallel startup network of human-computer interactive control module (IRCM), natural language is resolved understanding, be converted to machine language, again machine language is distributed to a plurality of processing nodes on the network, a plurality of processing node collaborative works, solve user's problem, traditional point-to-point method of service is changed into any to the method for service of multiple spot, after the inquiry result is returned to the user, can finish challenge, greatly improve the success ratio of finishing the work; What user and human-computer interaction device's input and output were used alternately all is natural languages, and namely machine adapts to people's mode, can give full expression to user's script intention, has reduced the professional knowledge requirement to user (user), very easy to use; The user carries out interactive information by intelligent interaction machine and a plurality of automatic or artificial treatment node that is distributed on the network, has overcome the defective of operator's knowledge and data deficiency, can better meet user's needs; Behind user's off-line, service still can continue, and artificial and automatic processing node also can continue as the answer that the user seeks problem, and the continuous follow-up work cycle task of growing is to solve the problem that complexity and working time grow; Can process better privacy concern, make the user can propose relatively easily the privacy demand, satisfy the demand that the user relates to the privacy aspect.
Description of drawings
In order to be illustrated more clearly in the utility model embodiment or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, accompanying drawing in the following describes only is embodiment more of the present utility model, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the general principles structural drawing of the mutual realization system of the distributed intelligence of employing natural language of the utility model embodiment;
Fig. 2 is that the structure of the mutual realization system of the distributed intelligence of employing natural language of the utility model embodiment forms synoptic diagram;
Fig. 3 is the schematic flow sheet of the principle of work of the mutual realization system of the distributed intelligence of employing natural language of the utility model embodiment;
Fig. 4 is the principle of work synoptic diagram of the human-computer interactive control module (IRCM) of the utility model embodiment.
Embodiment
Below in conjunction with the accompanying drawing among the utility model embodiment, the technical scheme among the utility model embodiment is clearly and completely described, obviously, described embodiment only is the utility model part embodiment, rather than whole embodiment.Based on the embodiment in the utility model, those of ordinary skills are not making the every other embodiment that obtains under the creative work prerequisite, all belong to the scope of the utility model protection.
Fig. 1 is the general principles structural drawing of the mutual realization system of the distributed intelligence of employing natural language of the utility model embodiment, and as shown in Figure 1, this system can comprise the human-computer interaction device; Human-computer interactive control module (Interactive Response Control Module, IRCM) with human-computer interaction device's connection; Change/express module, execution/response module (Execution Control Module, EXCM) with natural language parsing/Understanding Module, the natural language of IRCM connection respectively; Fill order distribution module and execution result with the EXCM connection returns module respectively; Automatic processing node 1 ... N1, artificial treatment node 1 ... N2 returns module with execution result respectively by Wireless/wired communication network and the fill order distribution module is connected.The human-computer interaction device can be made of terminal keyboard, display, microphone, earphone, loudspeaker, the mutual equipment of human and computer, this human-computer interaction device is including, but not limited to mobile phone, computing machine, personal digital assistant (Personal Digital Assistant, PDA) etc.
Below in conjunction with Fig. 1 the mutual realization system of the distributed intelligence of the employing natural language of the utility model embodiment is described in detail.
As shown in Figure 2, this realization system comprises: module 25, processing node 26 are changed/expressed to human-computer interaction device 20, human-computer interactive control module 21, natural language parsing/Understanding Module 22, execution/response module 23, fill order distribution module 24, natural language; Wherein, module 25 is changed/expressed to human-computer interactive control module 21 with human-computer interaction device 20, natural language parsing/Understanding Module 22, natural language respectively, execution/response module 23 is connected; Fill order distribution module 24 is connected with execution/response module 23; Processing node 26 is connected with the fill order distribution module.
In the implementation, human-computer interactive control module 21 is used for receiving the request with the natural language formal representation that human-computer interaction device 20 sends, and will send to the request of natural language formal representation natural language parsing/Understanding Module 22;
Natural language parsing/Understanding Module 22 is used for obtaining the result that represents in the machine language mode according to the request with the natural language formal representation from human-computer interactive control module 21 of sending, and will return to the result that the machine language mode represents human-computer interactive control module 21;
Human-computer interactive control module 21 also is used for being converted to the result that the machine language mode represents the executable order of machine, and the executable order of machine is sent to execution/response module 23;
Execution/response module 23 is used for to machine executable order and carries out task analysis, obtains the tasks carrying routing table, and the tasks carrying routing table is sent to fill order distribution module 24;
Fill order distribution module 24 is used for according to received execution routing table task being distributed to corresponding at least one processing node 26 on the network, the return results of finishing the work and processing and obtain to represent with machine language by at least one processing node, and will send to the return results that machine language represents natural language conversion/express module 25;
Human-computer interactive control module 21 also is used for and will sends to human-computer interaction device 20 with the return results of natural language expressing, is shown by human-computer interaction device 20.
In the implementation, human-computer interactive control module 21 also is used for according to the policy control rule the judgement of classifying with the request of natural language formal representation, obtain the route Compass of this processing, will send to the request of natural language formal representation natural language parsing/Understanding Module 22 according to the route Compass;
Natural language parsing/Understanding Module 22 also is used for processing with the request of natural language formal representation, obtains the result that represents in the machine language mode, and will send to the result that the machine language mode represents human-computer interactive control module 21.
Human-computer interactive control module 21 also is used for the result that represents in the machine language mode is estimated judgement, obtains the optimal processing result.
Human-computer interactive control module 21 also is used for the return results with natural language expressing is estimated judgement, obtains optimum return results, and optimum return results is sent to human-computer interaction device 40, is shown by human-computer interaction device 20.
Further, processing node 26 is connected with fill order distribution module 24 by wired/wireless communication network.
Further, the realization system of the utility model embodiment also comprises: change/express module with the natural language that human-computer interactive control module 21 is connected.
In the implementation, natural language parsing/Understanding Module 22 comprises a plurality of natural language parsing/Understanding Modules that are distributed on the network.Can comprise a plurality of parsings/automatic processing module of understanding and a plurality of parsing/understand artificial treatment module.
Natural language is changed/is expressed module 25 and comprises that a plurality of natural languages that are distributed on the network change/express module.Can comprise a plurality of conversions/automatic processing module of expression and a plurality of conversion/expression artificial treatment module.
Implement the utility model embodiment, have following useful technique effect:
1, the user is by a plurality of natural language parsing/Understanding Modules on the tactful route sensing serial or parallel startup network of human-computer interactive control module (IRCM), natural language is resolved understanding, be converted to machine language, again machine language is distributed to a plurality of processing nodes on the network, a plurality of processing node collaborative works, solve user's problem, traditional point-to-point method of service is changed into any to the method for service of multiple spot, after the inquiry result is returned to the user, can finish challenge, greatly improve the success ratio of finishing the work;
2, the mutual use of user and human-computer interaction device's input and output all is natural languages, and namely machine adapts to people's mode, can give full expression to user's script intention, has reduced the professional knowledge requirement to user (user), very easy to use;
3, the user carries out interactive information by intelligent interaction machine and a plurality of automatic or artificial treatment node that is distributed on the network, has overcome the defective of operator's knowledge and data deficiency, can better meet user's needs;
4, behind user's off-line, service still can continue, and artificial and automatic processing node also can continue as the answer that the user seeks problem, and the continuous follow-up work cycle task of growing is to solve the problem that complexity and working time grow;
5, can process better privacy concern, make the user can propose relatively easily the privacy demand, satisfy the demand that the user relates to the privacy aspect.
The below is elaborated to the workflow of the mutual realization system of the distributed intelligence of employing natural language of the present utility model.
Fig. 3 shows the schematic flow sheet of the principle of work of the mutual realization system of the distributed intelligence of employing natural language of the utility model embodiment, and as shown in Figure 3, this process comprises:
S301, the human-computer interactive control module receives the request with the natural language formal representation that the human-computer interaction device sends, and will send to the request of natural language formal representation natural language parsing/Understanding Module;
S302, the result that natural language parsing/Understanding Module represents in the machine language mode according to the request acquisition with the natural language formal representation, and will return to the result that the machine language mode represents the human-computer interactive control module;
S303, the human-computer interactive control module will be converted to the result that the machine language mode represents the executable order of machine, and the executable order of machine is sent to execution/response module;
S304, execution/response module to machine executable order carry out task analysis, obtain the tasks carrying routing table, and the tasks carrying routing table sent to the fill order distribution module;
S305, the fill order distribution module is distributed to corresponding at least one processing node on the network according to received execution routing table with task, the return results of finishing the work and processing and obtain to represent with machine language by at least one processing node, and will send to the return results that machine language represents natural language conversion/express module;
S306, natural language change/express module will be converted to the return results that machine language represents return results with natural language expressing, and will send to the return results of natural language expressing the human-computer interactive control module;
S307, the human-computer interactive control module will send to the human-computer interaction device with the return results of natural language expressing, be shown by the human-computer interaction device.
In implementation, be to receive the user by the human-computer interaction device to be inputted with the request of natural language formal representation.
Further, S302 comprises:
The human-computer interactive control module according to the policy control rule to the judgement of classifying with the request of natural language formal representation, obtain the route Compass of this processing, will send to the request of natural language formal representation natural language parsing/Understanding Module according to the route Compass;
Natural language parsing/Understanding Module is to processing with the request of natural language formal representation, obtains the result that represents in the machine language mode, and will send to the result that the machine language mode represents the human-computer interactive control module.
In implementation, natural language parsing/Understanding Module comprises a plurality of natural language parsing/Understanding Modules that are distributed on the network, by a plurality of natural language parsing/Understanding Module collaborative work on the network, further, natural language parsing/Understanding Module can comprise a plurality of parsings/automatic processing module of understanding and a plurality of parsing/understand artificial treatment module.
In fact, in S302, human-computer interactive control module (IRCM) sends to natural language parsing/Understanding Module with the request of natural language expressing and resolves, understands processing, specifically can be by following process implementation:
1, the request with natural language expressing that will receive of the natural language of human-computer interactive control module (IRCM) transmitting-receiving buffer portion sends parsing/comprehension strategy control module to, parsing/comprehension strategy control module draws the route Compass of this processing according to the judgement of classifying of policy control rule;
2, parsing/comprehension strategy control module sends to automatic parsing/understand routing module control and manually resolve/understand routing module control with the route Compass with the request of natural language expressing;
3, automatically resolve/understand one or more natural languages that routing module control starts on the network simultaneously and resolve/understand automatic processing module, manually resolve/understand one or more natural languages that routing module control starts on the network simultaneously and resolve/understand the work of artificial treatment module cooperative, and reclaim that automatic processing module is resolved/understood to each natural language and the result that the artificial treatment module returns represents in the machine language mode is resolved/understood to natural language, each result is estimated judgement, obtain the optimal processing result, send the optimal processing result to parsing/comprehension strategy control module;
4, parsing/comprehension strategy control module draws final optimal processing result to from automatic parsing/understand routing module control with manually resolve/understand the optimal processing result that routing module control returns and estimate judgement.
In addition, before S307, can also comprise: the human-computer interactive control module is estimated judgement to the return results with natural language expressing, obtains optimum return results;
Then S307 is specially: the human-computer interactive control module sends to the human-computer interaction device with optimum return results, is shown by the human-computer interaction device.
In implementation, natural language is changed/is expressed module and comprises that a plurality of natural languages that are distributed on the network change/express module, change/express module cooperative work by a plurality of natural languages on the network, further, natural language is changed/is expressed module and can comprise a plurality of conversions/automatic processing module of expression and a plurality of conversion/expression artificial treatment module.
In fact, in S305 to S307, human-computer interactive control module (IRCM) will send with the return results that machine language represents natural language conversion/express module conversion, express processing to, and detailed process can realize by following steps:
1, the execution result of human-computer interactive control module (IRCM) receives the return results that buffer portion represents the machine language that receives and sends conversion/expression strategy control module to, conversion/expression strategy control module draws the route Compass of this processing according to the judgement of classifying of policy control rule;
2, conversion/expression strategy control module sends to automatic conversion/expression routing module control and artificial conversion/expression routing module control with the route Compass with the return results that machine language represents;
3, automatically conversion/express routing module control starts the automatic processing module of one or more conversions on the network/express simultaneously, artificial conversion/express routing module control starts one or more conversions on the network/expression artificial treatment module cooperative work simultaneously, and reclaim the automatic processing module of each conversion/express and conversion/expression artificial treatment module with the return results of natural language formal representation, each return results is estimated judgement, obtain optimum return results, send optimum return results to conversion/expression strategy control module;
4, conversion/expression strategy control module is estimated judgement to the result who returns from automatic conversion/expression routing module control and artificial conversion/express routing module control, draws final optimum return results.
Fig. 4 is the structural principle synoptic diagram of the human-computer interactive control module (IRCM) of the utility model embodiment, below in conjunction with Fig. 4 the principle of work of the human-computer interactive control module (IRCM) of the utility model embodiment is further set forth.
As shown in Figure 4, human-computer interactive control module (IRCM) further comprises:
Natural language transmitting-receiving buffer portion;
The parsing that is connected with natural language transmitting-receiving buffer portion respectively/comprehension strategy control module and conversion/expression strategy control module;
The automatic parsing that is connected with parsing/comprehension strategy control module/understand routing module control;
The artificial parsing that is connected with parsing/comprehension strategy control module/understand routing module control;
The order synthesis module that is connected with parsing/comprehension strategy control module;
The automatic conversion that is connected with conversion/expression strategy control module/expression routing module control;
The artificial conversion that is connected with conversion/expression strategy control module/expression routing module control;
What be connected with conversion/expression strategy control module receives buffer portion with execution result.
In the implementation, the natural language transmitting-receiving buffer portion of human-computer interaction device and human-computer interactive control module (IRCM) connects, and user's demand is sent to the natural language transmitting-receiving buffer portion of human-computer interactive control module (IRCM) according to the form of natural language text strings or voice string by the human-computer interaction device; Natural language transmitting-receiving buffer portion sends it to parsing/comprehension strategy control module and reads, and by the judgement of classifying of policy control rule, draws the route Compass of this processing; Send to automatic parsing/understand routing module control and manually resolve/understand routing module control with the route Compass and with the request of natural language formal representation; Startup is automatically resolved/is understood routing module control and manually resolves/understand routing module control and carry out work.
Automatically resolve/understand routing module control and manually resolve/understand routing module control and start one or more parsings in one or more parsings of being distributed on the network in K1 the node/automatic processing module of understanding or K2 the node/understand artificial treatment module according to the Way guidance serial or parallel of route Compass, request with natural language expressing is resolved, understand, be converted to machine language, and reclaim each node and return result, the result of respectively returning is estimated judgement to obtain the optimal processing result, send the optimal processing result who returns to parsing/comprehension strategy control module.
When automatic parsing/understand routing module control or manually to resolve/understand result that routing module control returns be successfully the time, parsing/comprehension strategy control module sends result to the order synthesis module, result after will resolving synthesizes the executable order of the machine that represents in the machine language mode by the order synthesis module, and sends execution/response module (EXCM) to.Execution/response module (EXCM) is carried out task analysis to the order that represents in the machine language mode, obtain the tasks carrying routing table, send the tasks carrying routing table to the fill order distribution module, the fill order distribution module is distributed to corresponding one or more automatic processing nodes and artificial treatment node on the network according to the tasks carrying routing table that receives with task order, automatically processing node and artificial treatment node return to execution result with return results and return module, and execution result returns module return results is returned to execution/response module (EXCM); Execution/response module (EXCM) is estimated judgement to return results, obtain optimum return results, receive buffer portion by execution result return results is passed to conversion/expression strategy control module, conversion/expression strategy control module draws the route Compass of this processing by the judgement of classifying of policy control rule; Send to automatic conversion/expression routing module control and artificial conversion/expression routing module control with the route Compass and with the return results that the machine language mode represents; Start automatic conversion the/expression routing module control and artificial conversion the/expression routing module control and carry out work.Automatically conversion/express routing module control and artificial conversion/express routing module control guides serial or parallel to start to be distributed on the network one or more conversions in one or more conversions in K3 the node/automatic processing module of expression and K4 the node/expression artificial treatment module according to the route of route Compass, return results is changed, form with natural language is expressed, and reclaim the return results of each node, each return results is estimated judgement obtain optimum return results, send optimum return results to conversion/expression strategy control module.
The optimum return results that conversion/expression strategy control module will be received sends natural language transmitting-receiving buffer portion to, by natural language transmitting-receiving buffer portion optimum return results is returned to the human-computer interaction device, is shown to the user.
When automatic parsing/understand routing module control with manually resolve/understand result that routing module control returns when being unsuccessfully, parsing/comprehension strategy control module will be resolved failed information exchange and be crossed natural language transmitting-receiving buffer portion and return to the human-computer interaction device and show or express to the user.
In the utility model embodiment, in the mutual realization system of the distributed intelligence that adopts natural language, human-computer interactive control module (IRCM) is classified the request with the natural language formal representation that the human-computer interaction device sends by the policy control rule, draw the route Compass that parsing/understanding is processed, start a plurality of parsings/automatic processing node of understanding or parsing/understand artificial treatment node cooperative work, form task that the machine language form represents and process request and pass to tasks carrying processing controls part; Tasks carrying processing controls part is processed according to transmitting the machine language commands task of coming, and the task result is returned to human-computer interactive control module (IRCM) in the machine language mode; Human-computer interactive control module (IRCM) will be classified by the policy control rule with the task result that the machine language mode represents, draw the route Compass that conversion/expression is processed, start a plurality of conversions/automatic processing node of expression or conversion/expression artificial treatment node cooperative work, the task result that represents in the machine language mode is changed, expressed, be converted to the task result of natural language formal representation and pass to the human-computer interactive control module and be shown to the user.
Below in conjunction with the principle of work of the realization system of the utility model embodiment and Fig. 1, Fig. 3 the function of each functional module of the realization system of the utility model embodiment is further described in detail.
The human-computer interaction device 20: the user instruction with the natural language input that will receive passes to human-computer interactive control module (IRCM) 21; Receive the result with natural language expressing that man-machine interaction control module (IRCM) 21 is returned;
Execution/response module (EXCM) 23: the order that represents in the machine language mode that receives that man-machine interaction control module (IRCM) 21 sends forms the tasks carrying routing table after analyzing, and passes to fill order distribution module 24; Control fill order distribution module 24 is distributed to the automatic processing node of processing node 26(or artificial treatment node); The return results that represents in the machine language mode that receives that execution result returns that module returns is estimated judgement to it, forms optimum return results and passes to human-computer interactive control module (IRCM) 21;
Fill order distribution module 24: receive machine language commands and tasks carrying routing table that execution/response module (EXCM) 23 sends, it is distributed to corresponding automatically processing node and artificial treatment node;
Execution result returns module: receive each automatic processing node and artificial treatment node and return result and send execution/response module (EXCM) 23 to what the machine language form represented;
Automatically processing node: the tasks carrying order of fill order distribution module 24 distributions processed and the task result is returned to execution result return module, it comprises a plurality of automatic processing nodes that are distributed on the network;
The artificial treatment node: the tasks carrying order of fill order distribution module 24 distribution processed and the task result is returned to execution result return module, it comprises a plurality of artificial treatment nodes that are distributed on the network;
Human-computer interactive control module (IRCM) 21: control receives natural literal or the language strings that human-computer interaction device 20 sends, and sends natural language parsing/Understanding Module 22 to; Control receives the result that machine language form that natural language parsing/Understanding Module 22 sends represents, sends execution/response module (EXCM) 23 to after synthesizing order; The return results that represents in the machine language mode that control receives that execution/response module (EXCM) 23 sends sends natural language conversion/express module 25 to; Control receives the nature task action result that language conversion/expression module 25 is passed back with the natural language expressing form, and sends human-computer interaction device 20 to;
Natural language parsing/Understanding Module 22: the natural language text strings that human-computer interactive control module (IRCM) 21 is sent or language strings are resolved and are understood, and natural language text strings or language conversion are become and can and return to human-computer interactive control module (IRCM) 21 by the machine language of machine recognition and execution;
In the implementation, human-computer interactive control module (IRCM) 21 further comprises:
Parsing/comprehension strategy control module: the request of natural language being received and dispatched the natural language expressing that buffer portion sends draws the route Compass of this processing by the judgement of classifying of policy control rule; Send to automatic parsing/understand routing module control and manually resolve/understand routing module control with the route Compass with the request of natural language expressing; Startup is automatically resolved/is understood routing module control and manually resolves/understand routing module control and carry out work, result to successfully resolved is analyzed judgement, send final optimum return results to the order synthesis module in the machine language mode, return to human-computer interaction device in the natural language mode by natural language transmitting-receiving buffer portion with resolving failed result, demonstration or expression are to the user;
Automatically resolve/understand routing module control: receive route Compass that parsings/comprehension strategy control module sends, with the request of natural language formal representation and the instruction of startup work, start the automatic processing module of one or more parsings of being distributed on the network/understand according to the Way guidance serial or parallel of route Compass, and reclaim each working node and return result, the result of respectively returning is estimated judgement form the optimal processing result, send the optimal processing result who returns to parsing/comprehension strategy control module;
Manually resolve/understand routing module control: receive route Compass that parsings/comprehension strategy control module sends, with the request of natural language expressing and the instruction of startup work, start one or more parsings of being distributed on the network/understand artificial treatment module according to the Way guidance serial or parallel of route Compass, and reclaim the return results of each working node, each return results is estimated judgement form optimum return results, send optimum return results to parsing/comprehension strategy control module;
Order synthesis module: receive parsing that parsing/comprehension strategy control module sends, understand the result, and it is synthesized the executable machine language commands of machine send execution/response module (EXCM) to;
Natural language transmitting-receiving buffer portion: receive the request with the natural language formal representation that the human-computer interaction device sends, and send it to parsing/comprehension strategy control module and process; The result of the parsing failure that reception parsing/comprehension strategy control module is returned receives conversion/expression strategy control module with the return results of natural language expressing, and sends return results to human-computer interaction device to be shown to the user;
Conversion/expression strategy control module: the execution response results that represents in the machine language mode that execution result is received that buffer portion sends by the judgement of classifying of policy control rule, draws the route Compass of this processing; Send to automatic conversion/expression routing module control and artificial conversion/expression routing module control with the route Compass with the result that machine language is expressed; Start automatic conversion the/expression routing module control and artificial conversion the/expression routing module control and carry out work, and reclaim the return results of each working node, return results with natural language expressing is analyzed judgement, form final optimum return results and send natural language transmitting-receiving buffer portion to;
Automatically conversion/express routing module control: the result that receive route Compass that conversion/expression strategy control module transmits, represents with the machine language form and the instruction of startup work; The automatic processing module of one or more conversions of guiding serial or parallel to start to be distributed on the network according to the route of route Compass/express, and reclaim the return results of each working node, each return results is estimated judgement form optimum return results, send optimum return results to conversion/expression strategy control module;
Artificial conversion/express routing module control: the result that receive route Compass that conversion/expression strategy control module transmits, represents in the machine language mode and the instruction of startup work; Start one or more conversions of being distributed on the network/expression artificial treatment module according to the Way guidance serial or parallel of route Compass, and reclaim the return results of each working node, each return results is estimated judgement form optimum return results, send optimum return results to conversion/expression strategy control module;
Execution result receives buffer portion: receive the return results that execution/response module (EXCM) represents in the machine language mode and send conversion/expression strategy control module to.
By embodiment described above the utility model has been described; it will be appreciated that; above disclosed only is a kind of preferred embodiment of the utility model; certainly can not limit with this interest field of the utility model; for those skilled in the art; under the prerequisite that does not break away from the utility model principle, can also make some improvements and modifications, these improvements and modifications also are considered as protection domain of the present utility model.
Claims (9)
1. mutual realization system of distributed intelligence that adopts natural language is characterized in that described system comprises:
Be used for receiving the request with the natural language formal representation that the human-computer interaction device sends, described request with the natural language formal representation is sent to natural language parsing/Understanding Module, the described result that represents in the machine language mode is converted to the executable order of machine, and the executable order of described machine sent to described execution/response module, described return results with natural language expressing is sent to described human-computer interaction device's human-computer interactive control module;
The request with the natural language formal representation that is connected with described human-computer interactive control module, be used for to receive the user, and receive that described human-computer interactive control module sends with the return results of natural language expressing and the human-computer interaction device who shows;
Be connected with described human-computer interactive control module, be used for obtaining the result that represents in the machine language mode according to the request with the natural language formal representation from described human-computer interactive control module of sending, and the described result that represents in the machine language mode is returned to the natural language parsing/Understanding Module of described human-computer interactive control module;
Be connected with described human-computer interactive control module, be used for the described return results that represents with machine language is converted to return results with natural language expressing, and module is changed/expressed to the natural language that described return results with natural language expressing sends to described human-computer interactive control module;
Be connected with described human-computer interactive control module, be used for to described machine executable order and carry out task analysis, obtain the tasks carrying routing table, and described tasks carrying routing table sent to the execution/response module of fill order distribution module;
Be connected with described execution/response module, be used for according to received execution routing table task being distributed to corresponding at least one processing node on the network, the return results of finishing the work and processing and obtain to represent with machine language by described at least one processing node, and the described return results that represents with machine language sent to the fill order distribution module that module was changed/expressed to described natural language;
The processing node that is connected with described fill order distribution module, be used for finishing the work the return results processing and obtain to represent with machine language.
2. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 1 is characterized in that, described human-computer interactive control module comprises:
Natural language transmitting-receiving buffer portion;
The parsing that is connected with described natural language transmitting-receiving buffer portion respectively/comprehension strategy control module and conversion/expression strategy control module;
The automatic parsing that is connected with described parsing/comprehension strategy control module/understand routing module control;
The artificial parsing that is connected with described parsing/comprehension strategy control module/understand routing module control;
The order synthesis module that is connected with described parsing/comprehension strategy control module;
With automatic conversion that described conversion/the expression strategy control module is connected/expression routing module control;
With artificial conversion that described conversion/the expression strategy control module is connected/expression routing module control;
What be connected with described conversion/expression strategy control module receives buffer portion with execution result.
3. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 1 or 2 is characterized in that, described processing node is connected with described fill order distribution module by wired/wireless communication network.
4. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 3 is characterized in that described system also comprises: change/express module with the natural language that described human-computer interactive control module is connected.
5. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 1 is characterized in that, described natural language parsing/Understanding Module comprises a plurality of natural language parsing/Understanding Modules that are distributed on the network.
6. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 5 is characterized in that, described natural language parsing/Understanding Module comprises a plurality of parsings/automatic processing module of understanding and a plurality of parsing/understand artificial treatment module.
7. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 1 is characterized in that, described natural language is changed/expressed module and comprises that a plurality of natural languages that are distributed on the network change/express module.
8. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 7 is characterized in that, described natural language is changed/expressed module and comprises a plurality of conversions/automatic processing module of expression and a plurality of conversion/expression artificial treatment module.
9. the mutual realization system of the distributed intelligence of employing natural language as claimed in claim 3 is characterized in that, described processing node comprises automatic processing node and artificial treatment node.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220136652 CN202815832U (en) | 2012-04-01 | 2012-04-01 | Realizing system of distributed intelligent interaction with natural language |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220136652 CN202815832U (en) | 2012-04-01 | 2012-04-01 | Realizing system of distributed intelligent interaction with natural language |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202815832U true CN202815832U (en) | 2013-03-20 |
Family
ID=47874680
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201220136652 Expired - Fee Related CN202815832U (en) | 2012-04-01 | 2012-04-01 | Realizing system of distributed intelligent interaction with natural language |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202815832U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103760984A (en) * | 2014-01-24 | 2014-04-30 | 成都万先自动化科技有限责任公司 | Man-machine conversation system |
| CN104932701A (en) * | 2015-07-22 | 2015-09-23 | 苏州思必驰信息科技有限公司 | Loose coupling man-machine interactive system and method |
| CN106156057A (en) * | 2015-03-27 | 2016-11-23 | 北京风行在线技术有限公司 | A kind of method and apparatus inquiring about video data result |
| CN107766559A (en) * | 2017-11-06 | 2018-03-06 | 第四范式（北京）技术有限公司 | Training method, trainer, dialogue method and the conversational system of dialog model |
-
2012
- 2012-04-01 CN CN 201220136652 patent/CN202815832U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103760984A (en) * | 2014-01-24 | 2014-04-30 | 成都万先自动化科技有限责任公司 | Man-machine conversation system |
| CN106156057A (en) * | 2015-03-27 | 2016-11-23 | 北京风行在线技术有限公司 | A kind of method and apparatus inquiring about video data result |
| CN104932701A (en) * | 2015-07-22 | 2015-09-23 | 苏州思必驰信息科技有限公司 | Loose coupling man-machine interactive system and method |
| CN104932701B (en) * | 2015-07-22 | 2018-06-22 | 苏州思必驰信息科技有限公司 | A kind of loose coupling man-machine interactive system and method |
| CN107766559A (en) * | 2017-11-06 | 2018-03-06 | 第四范式（北京）技术有限公司 | Training method, trainer, dialogue method and the conversational system of dialog model |
| CN107766559B (en) * | 2017-11-06 | 2019-12-13 | 第四范式（北京）技术有限公司 | training method, training device, dialogue method and dialogue system for dialogue model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103365836B (en) | A kind of mutual implementation method and system thereof of distributed intelligence that adopts natural language | |
| CN202815832U (en) | Realizing system of distributed intelligent interaction with natural language | |
| CN202331294U (en) | Intelligent mobile equipment docking station and application system thereof | |
| CN106898349A (en) | A kind of Voice command computer method and intelligent sound assistant system | |
| CN110033764A (en) | Sound control method, device, system and the readable storage medium storing program for executing of unmanned plane | |
| CN107086949A (en) | It is a kind of to be used for people and the auxiliary intelligent apparatus of smart machine interactive operation | |
| CN110491381A (en) | A kind of unmanned vehicle voice interactive system and its voice interactive method | |
| CN203217811U (en) | Interactive teaching system based on computers | |
| CN202771369U (en) | Man-machine interface device based on multiprocessor | |
| CN105022595B (en) | A kind of voice Method of printing | |
| CN111488147A (en) | Intelligent layout method and device | |
| CN104618220A (en) | Bluetooth technology based IM (Instant Messaging) bidirectional interaction system | |
| CN203055434U (en) | Family speech interactive terminal based on cloud technique | |
| CN208848187U (en) | Intelligent printing device | |
| CN109462782B (en) | Communication system for converting fax into talkback | |
| CN107194005A (en) | A kind of web front-end page and its generation method, page loading method and device | |
| CN106354112A (en) | Speed recognition and control system used for smart home devices | |
| CN203466850U (en) | Interaction conference system based on intelligent terminal | |
| CN205376116U (en) | Automatic dolly remote control unit that guides of wireless directional speech control | |
| CN107017915A (en) | Equipment for realizing sharing of wireless network by multiple systems and working method thereof | |
| CN205880569U (en) | Intelligent robot of multiterminal adaptive communications | |
| CN112446223B (en) | Translation method and device and electronic equipment | |
| CN204302974U (en) | For the Multifunctional English translating equipment of bank window | |
| CN107452377A (en) | Massage armchair and its information interaction system | |
| CN105427863A (en) | Voice real-time identification method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130320 Termination date: 20170401 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |