CN105869640A - Method and device for recognizing voice control instruction for entity in current page - Google Patents
Method and device for recognizing voice control instruction for entity in current page Download PDFInfo
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- CN105869640A CN105869640A CN201510031182.3A CN201510031182A CN105869640A CN 105869640 A CN105869640 A CN 105869640A CN 201510031182 A CN201510031182 A CN 201510031182A CN 105869640 A CN105869640 A CN 105869640A
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Abstract
The invention provides a method and a device for recognizing a voice control instruction for an entity in a current page. The method comprises steps: an entity is extracted from the current page; based on the extracted entity and a corresponding construction template, a candidate instruction set is constructed; and based on matching between voice of the user and the candidate instruction in the candidate instruction set, the voice control instruction for the entity in the current page is recognized from the voice of the user. Thus, the voice instruction recognition flexibility is enhanced.
Description
Technical field
The present invention relates to speech recognition technology, particularly relate to a kind of identification for the entity in current page
The method and apparatus of phonetic control command.
Background technology
In prior art, when carrying out phonetic order identification, it is typically only capable to based on fixing phonetic order collection
In phonetic order whether mate with the voice of user and determine whether that the voice of user is a voice
Instruction.Such as, instruction " my Yao Qumaiqu Pekinese train ticket " is contained with fixing phonetic order collection
As a example by, the voice content that only user produces is identical with this phonetic order, just can think that user sends this
Phonetic order, and then perform associative operation.If the voice content that user produces is " my train to be bought
Ticket goes to Beijing ", the order of clause will be overturned, then be must not believe that user have issued phonetic order,
Thus do not perform associative operation, thus cause the flexibility ratio of phonetic order identification poor.
Summary of the invention
One of present invention solves the technical problem that the motility being an up phonetic order identification.
An embodiment according to an aspect of the present invention, it is provided that a kind of identification is for current page
In the method for phonetic control command of entity, including: from current page, extract entity；Based on
The entity extracted and corresponding structure template, construct candidate instruction set；The voice said based on user
With mating of the candidate instruction in candidate instruction set, be recognized for from the voice that user says work as
The phonetic control command of the entity in the front page.
Alternatively, the step extracting entity from current page includes: by the word in current page
Participle；Judge the part of speech of the word separated；Each word in the word with specific part of speech that will separate is defeated
Enter grader, to judge whether this word is to be constituted the word of entity and constituted the beginning of entity, centre
Or end, grader is that the set of prior entity and non-physical word sample trains；According to
The grader result of determination to each word in the described word with specific part of speech separated, it is judged that should
Whether the word with specific part of speech is entity.
Alternatively, structure template is previously formed as follows: order from the historical Voice command of active user
Each voice control command in the set of order extracts entity, and extracts the entity week of this extraction
The language mode enclosed, as a structure template corresponding with the entity extracted.
Alternatively, structure template is previously formed as follows: order from the historical Voice command of all users
Each voice control command in the set of order extracts entity, and extracts the entity week of this extraction
The language mode enclosed, as a structure template corresponding with the entity extracted.
Alternatively, based on the entity extracted and the step of corresponding structure structure of transvers plate candidate instruction set
Including: based on the entity extracted, the synonym of the entity extracted described in acquisition；By extract
Entity, the synonym of acquisition be respectively applied to described in the corresponding structure template of entity that extracts, respectively
Obtain corresponding candidate instruction, put in candidate instruction set.
Alternatively, the voice said based on user and the candidate instruction in candidate instruction set mate from
The step of the phonetic control command of the entity being recognized in current page in the voice that user says
Including: the voice said in response to user mates with a candidate instruction in candidate instruction set, knows
The entity extracted that this candidate instruction is not corresponding, thus identify pin from the voice that user says
The phonetic control command of the entity that this in current page is extracted.
An embodiment according to an aspect of the present invention, it is provided that a kind of identification is for current page
In the device of phonetic control command of entity, including extracting unit, be configured to from current page
In extract entity；Structural unit, is configured to based on the entity extracted and corresponding structure template,
Structure candidate instruction set；Recognition unit, is configured to voice and the candidate instruction said based on user
The coupling of the candidate instruction in set, is recognized in current page from the voice that user says
The phonetic control command of entity.
Alternatively, extracting unit is configured to: by the word participle in current page；Judgement separates
The part of speech of word；Each word input grader in the word with specific part of speech that will separate, to judge
Whether this word is to constitute the word of entity and constitute the beginning of entity, centre or end, grader
It is that the set of prior entity and non-physical word sample trains；Separate described according to grader
The word with specific part of speech in the result of determination of each word, it is judged that this has the word of specific part of speech
Whether it is entity.
Alternatively, structure template is previously formed as follows: order from the historical Voice command of active user
Each voice control command in the set of order extracts entity, and extracts the entity week of this extraction
The language mode enclosed, as a structure template corresponding with the entity extracted.
Alternatively, structure template is previously formed as follows: order from the historical Voice command of all users
Each voice control command in the set of order extracts entity, and extracts the entity week of this extraction
The language mode enclosed, as a structure template corresponding with the entity extracted.
Alternatively, structural unit is configured to: based on the entity extracted, and extracts described in acquisition
The synonym of entity；Extract described in the synonym of the entity extracted, acquisition is respectively applied to
The corresponding structure template of entity, respectively obtains corresponding candidate instruction, puts in candidate instruction set.
Alternatively, recognition unit be configured to respond to voice that user says with in candidate instruction set
Candidate instruction coupling, identify the entity extracted that this candidate instruction is corresponding, thus from
The Voice command of this entity extracted being recognized in current page in the voice that family is said refers to
Order.
Owing to the candidate instruction set of the embodiment of the present invention is not fixing, but according to current page
Different in real time according to entity present on current page and combine what corresponding structure template constructed, therefore,
Can be very flexible when user sends instruction, it is various that the embodiment of the present invention can recognize that user sends
Flexible instruction, it is to avoid in prior art, user can only send out phonetic order by fixing phonetic order collection
Rigid pattern.
Although those of ordinary skill in the art it will be appreciated that detailed description below by referenced in schematic embodiment,
Accompanying drawing is carried out, but the present invention is not limited in these embodiments.But, the scope of the present invention is extensive
, and it is intended to be bound only by appended claims restriction the scope of the present invention.
Accompanying drawing explanation
The detailed description that non-limiting example is made made with reference to the following drawings by reading, this
The other features, objects and advantages of invention will become more apparent upon:
Fig. 1 is the voice control for the entity in current page of the identification according to one embodiment of the invention
The flow chart of the method for system instruction；
Fig. 2 is according to the mistake extracting entity in the method for one embodiment of the invention from current page
One concrete flow chart of journey；
Fig. 3 is to construct based on the entity extracted and correspondence according in the method for one embodiment of the invention
One concrete flow chart of the process of structure of transvers plate candidate instruction set；
Fig. 4 is the voice control for the entity in current page of the identification according to one embodiment of the invention
The block diagram of the device of system instruction.
In accompanying drawing, same or analogous reference represents same or analogous parts.
Detailed description of the invention
Below in conjunction with the accompanying drawings the present invention is described in further detail.
Fig. 1 is the voice control for the entity in current page of the identification according to one embodiment of the invention
The flow chart of the method 1 of system instruction.The method may be used for mobile unit, mobile terminal, fixing sets
Standby (such as desktop computer) etc..Current page refer at present at mobile unit, mobile terminal, fixing set
The page shown in standby (such as desktop computer) etc..It can be to be not responsive to active user (operate vehicle-mounted
The user of equipment, mobile terminal, fixing equipment etc.) the page that shows of action, it is also possible to be in response to
The page that the action of active user shows.Entity refer on the page display, represent that user may want to
The word of object of action or sequence number.Such as, on desktop show " spicy temptation ", " spicy hot pot ",
Cuisines projects such as " characteristic grilled fish ", each of which cuisines project is regarded as an entity, " fiber crops
Peppery temptation ", the sequence number (such as 1,2,3 etc.) that is displayed next to of " spicy hot pot ", " characteristic grilled fish "
It is considered as an entity, because the phonetic order that next user may send (such as " my fiber crops to be eaten
Peppery temptation ", " I selects 3 ") be likely to for they.
Current page is to be not responsive to active user (operation mobile unit, mobile terminal, fixing equipment
Deng user) the application scenarios of the page that shows of action such as, on mobile unit
Application, when mobile unit is opened, gives tacit consent on the desktop of mobile unit and opens.Show on the table
" navigate ", " cuisines ", " shopping " etc..After active user sends the voice of " I wants to go shopping ",
The side identifying the phonetic control command for the entity in current page of one embodiment of the present of invention
Method 1 just identifies its phonetic control command for this entity of " doing shopping " in current page,
Thus perform further action, for example, market etc. near active user's display.Certainly,
Such a application is also likely to be on mobile terminal or fixing equipment, when mobile terminal or fixing set
During standby unlatching so that on display desktop, some options occurs in acquiescence.
Current page is in response to active user (operation mobile unit, mobile terminal, fixing equipment etc.
User) the application scenarios of the page that shows of action such as, in a certain vehicular applications, when
Front user first activates this vehicular applications, then says such as " please be supplied to the restaurant that I am neighbouring ", at this moment
The display screen display " spicy temptation " of mobile unit, " Boiled Fish township ", " Quanjude " etc., currently
User says " my Quanjude to be gone ", and now the identification of one embodiment of the present of invention is for current page
The method 1 of the phonetic control command of the entity in face just identifies it for " complete in current page
Poly-moral " phonetic control command of this entity, and then perform further action, such as connect complete poly-
The phone of moral or be shown to the concrete route etc. of Quanjude.Certainly, such a application is likely to
It is on mobile terminal or fixing equipment, makes mobile terminal or solid active user by preamble operation
After occurring some options on the display screen of locking equipment, the identification of one embodiment of the present of invention is for currently
The method 1 of the phonetic control command of the entity in the page just can be used to identify that next active user sends out
Whether the voice gone out is the phonetic control command for the entity in current page and is for which
The phonetic control command of entity.
In step 110, from current page, entity is extracted.
In one case, after analyzing the composition of current page, find that current page mainly includes several
Frame, has a word (to identify that the word in frame is a word or several word structure in these frames respectively
The phrase or the sentence that become can be realized by existing participle technique), it is believed that the word in each frame
It it is respectively an entity.
In another case, after analyzing the composition of current page, find that current page mainly includes several
Individual frame, has a phrase or sentence in these frames respectively, or analyzes the composition of the current page
After, find that current page is an article, or include various word, the labyrinth of various frame
The page, now need from the method for such as Fig. 2 to extract entity.
In sub-step 1101, by the word participle in current page.
It is usually all word participles identified by current page.Such as main at aforementioned current page
Including several frames, in these frames, have a phrase or sentence respectively in the case of, to each word
Group or sentence carry out participle.Such as in the case of current page is an article, article is carried out point
Word.Participle can use existing segmenting method to realize.
In sub-step 1102, it is judged that the part of speech of the word separated.
At present, the existing mature technology of semantic analysis aspect.Prior art can be used to judge the side of part of speech
Method judges the part of speech of the word separated.In general, only the notional word such as noun, verb, adjective with
And sequence number word is likely to become entity.Function word unlikely becomes entity.
Each word input point in sub-step 1103, in the word with specific part of speech that will separate
Class device, with judge this word whether constituted entity word and constituted the beginning of entity, centre or
End, grader is that the set of prior entity and non-physical word sample trains.
The word of specific part of speech such as notional word and sequence number word.In some cases, the word of specific part of speech is permissible
Only it is defined as noun and sequence number word.
Machine learning has mature technology at present.Can be with a large amount of entity word and a large amount of non-solid pronouns, general term for nouns, numerals and measure words sample
Set training one model, the i.e. grader constituted.Specifically, by these entity word and non-physical
Each word input grader of word sample, and be from an entity word or from one by this word
Individual non-solid pronouns, general term for nouns, numerals and measure words, be constitute the beginning of entity word, centre or end input grader, grader from
Learning from entity word, from non-solid pronouns, general term for nouns, numerals and measure words word and constitute entity word beginning, middle with
And the word at end has any rule respectively.So, after inputting a new word to grader, grader
Just can determine that whether this word is to constitute the word of entity and constitute the beginning of entity, middle or last
Tail.
In sub-step 1104, according to grader in the described word with specific part of speech separated
The result of determination of each word, it is judged that whether this word with specific part of speech is entity.
Such as, for " Boiled Fish township ", grader judges that " boiling " warp is frequently as the beginning of entity, " rising "
Through frequently as the centre of entity or end, " fish " through frequently as the centre of entity, " township " through frequently as
The end of entity, therefore, it is judged that " Boiled Fish township " is entity.
In the step 120, based on the entity extracted and corresponding structure template, candidate instruction collection is constructed
Close.
Candidate instruction refers to the entity for current page, the instruction that user may send.Structure mould
Plate refers to the entity for current page, and user is the language mode possible used sending instruction.Example
As, for " 2. Boiled Fish township " on current page, user may send instruction, and " I to go boiling
Fish township ", " going to Boiled Fish township ", " selecting Boiled Fish township ", " Boiled Fish township ", " 2 ", " choosing
2 " etc.." my Yao Qu Boiled Fish township ", " going to Boiled Fish township ", " selecting Boiled Fish township ", " boiling
Teng Yu township ", " 2 ", " selecting 2 " be candidate instruction, " I xx to be gone ", " removing xx ", " choosing
Xx ", " xx ", " No. ", " selecting No. " etc. be structure template.
A kind of generation type of structure template is to be predefined various structure by people for various entities in advance
Template is got well and is stored in a data base.
The another kind of generation type of structure template is: from the historical voice control command of all users
Set in each voice control command in extract entity, and extract around the entity of this extraction
Language mode, as a structure template corresponding with the entity extracted.
Language mode around entity refers to the language structure of the independent sentence with predicate at entity place
One-tenth mode.Such as, from " my Tian An-men to be gone, the most how much？Extract in " entity " my god
Peace door ".The independent sentence with predicate at its place is " my Tian An-men to be gone ", and its language mode is
" I xx to be gone ".
Such as, for using the user of a certain application, can be from the use of all these application of use
Every voice control command that family sends when using this application in history all extracts entity, and extracts
Go out the language mode around the entity of this extraction, as a structure mould corresponding with the entity extracted
Plate.
This benefit forming structure template is to be the practice from user owing to these construct templates
That middle collection comes rather than in advance figured out without foundation by people, improve the objectivity of structure template,
Thus improve the precision identifying the phonetic control command for the entity in current page.
The another kind of generation type of structure template is: from the historical voice control command of active user
Set in each voice control command in extract entity, and extract around the entity of this extraction
Language mode, as a structure template corresponding with the entity extracted.
Such as, for using the active user of a certain user, can be from using working as of this application
Every voice control command that front user sends when using this application in history is all extracted entity, and
Extract the language mode around the entity of this extraction, as a structure corresponding with the entity extracted
Mold board.
This form structure template benefit be, owing to structure template is historical from active user
Extracting in voice control command, it reflects the feature of the language of active user self, such as when
Often say in " Xiang Quchi Boiled Fish township " when front user sees on the page in history to be had " Boiled Fish township "
Rather than say in " my Yao Qu Boiled Fish township ", at this moment may " wanting to eat xx " active user be come
Saying the structure template being probably more often, therefore, this mode forming structure template can adapt to use
The individual demand at family, improves the precision identifying the phonetic control command for the entity in current page.
A kind of mode based on the entity extracted and the structure of transvers plate candidate instruction set of corresponding structure is,
The corresponding structure template of the entity extracted described in being directly applied to by the entity extracted, obtains candidate
Instruction is put in candidate instruction set.
Such as, the entity of extraction is " Boiled Fish township ", the structure template of its correspondence be " I xx to be gone ",
" remove xx ", " xx ", " selecting xx ", the entity application of extraction is constructed template in these, the time obtained
Selecting instruction is " my Yao Qu Boiled Fish township ", " going to Boiled Fish township ", " Boiled Fish township ", " selecting Boiled Fish township ",
Place them in candidate instruction set.In a kind of mode, can be by them and " Boiled Fish township "
Put into accordingly in candidate instruction set.
As it is shown on figure 3, in another embodiment, based on the entity extracted and corresponding structure mould
The step of plate structure candidate instruction set 120 includes sub-step 1201 and sub-step 1202.
In sub-step 1201, based on the entity extracted, the entity extracted described in acquisition same
Justice word.
Build a database of synonyms in advance.Such as, expert it is aforementioned from all users or current
Each voice control command in the set of the historical voice control command of user extracts
Entity finds synonym one by one, is placed in database of synonyms.Or, by expert to the institute in dictionary
Having word to sort out, by word one TongYiCi CiLin of composition close for implication, all TongYiCi CiLin are just
Constitute database of synonyms.Database of synonyms can also be built otherwise.
After database of synonyms builds, it is possible to by search by the way of database of synonyms based on
The synonym of the entity extracted described in the entity acquisition extracted.
In sub-step 1202, the synonym of the entity extracted, acquisition is respectively applied to described
The corresponding structure template of the entity extracted, respectively obtains corresponding candidate instruction, puts into candidate instruction collection
In conjunction.
Such as, the entity extracted is " Peking University ", and the synonym of acquisition is " Beijing University ", its
Corresponding structure template be " navigating to xx ", " removing xx ", " going to xx ", " I thinks xx ",
" phone xx ", then the candidate instruction finally obtained is:
-navigate to Peking University
-go to Peking University
-go to Peking University
-my Xiang Qu Peking University
-phone Peking University
-navigate to Beijing University
-go to Beijing University
-go to Beijing University
-my Xiang Qu Beijing University
-phone Beijing University.
In step 130, the voice said based on user and the candidate instruction in candidate instruction set
Coupling, the phonetic control command of the entity being recognized in current page from the voice that user says.
Such as, the part paused in the voice of active user is identified, it is believed that in the voice of active user
The voice that voice is a minor sentence between two parts paused, uses speech recognition known in the art
The speech recognition of this minor sentence is become word by method, with the candidate instruction set that constructs in step 120
In candidate instruction contrast one by one, when find the voice being identified as the minor sentence after word with in step 120
A candidate instruction in the candidate instruction set constructed is completely the same or comprises structure in step 120
During a candidate instruction in the candidate instruction set produced, it is considered as have found the voice that user says
With mating of the candidate instruction in candidate instruction set, that candidate in the candidate instruction set found
The phonetic control command of the entity that instruction is aiming in current page.
It is then also possible to determine whether which of current page the phonetic control command identified be for
Individual entity.Due to as it was previously stated, in the corresponding candidate instruction that will obtain according to the entity that extracts
It is can be by side corresponding with the entity extracted for these candidate instruction when putting in candidate instruction set
Formula is stored in candidate instruction set, the voice therefore said in response to user and candidate instruction set
In candidate instruction coupling, it is possible to identify the entity extracted that this candidate instruction is corresponding,
Thus judge that the phonetic control command identified is which entity for current page.
The Voice command of the entity being recognized in current page in the voice said from user refers to
After order, then can perform this voice control command.Such as, by each time in candidate instruction set
The execution program code of choosing instruction correspondence is placed in another data base, when finding in candidate instruction set
A candidate instruction (i.e. identifying phonetic control command) after, by performing this another data base
In perform program code accordingly, it is possible to perform this voice control command.
As shown in Figure 4, identification according to an embodiment of the invention is for the entity in current page
The device 2 of phonetic control command include: extracting unit 210, be configured to take out from current page
Take out entity；Structural unit 220, is configured to based on the entity extracted and corresponding structure template,
Structure candidate instruction set；Recognition unit 230, is configured to voice and the candidate said based on user
The coupling of the candidate instruction in instruction set, is recognized for current page from the voice that user says
In the phonetic control command of entity.Above-mentioned each unit can be (FPGA, integrated with software, hardware
Circuit etc.) or the mode of software and hardware combining realize.
Alternatively, extracting unit 210 is configured to: by the word participle in current page；Judge to divide
The part of speech of the word gone out；Each word input grader in the word with specific part of speech that will separate, with
Judge whether this word is to constitute the word of entity and constitute the beginning of entity, centre or end, point
Class device is that the set of prior entity and non-physical word sample trains；According to grader to described
The result of determination of each word in the word with specific part of speech separated, it is judged that this has specific part of speech
Word whether be entity.
Alternatively, structure template is previously formed as follows: order from the historical Voice command of active user
Each voice control command in the set of order extracts entity, and extracts the entity week of this extraction
The language mode enclosed, as a structure template corresponding with the entity extracted.
Alternatively, structure template is previously formed as follows: order from the historical Voice command of all users
Each voice control command in the set of order extracts entity, and extracts the entity week of this extraction
The language mode enclosed, as a structure template corresponding with the entity extracted.
Alternatively, structural unit is configured to: based on the entity extracted, and extracts described in acquisition
The synonym of entity；Extract described in the synonym of the entity extracted, acquisition is respectively applied to
The corresponding structure template of entity, respectively obtains corresponding candidate instruction, puts in candidate instruction set.
Alternatively, recognition unit 230 is configured to respond to voice and the candidate instruction collection that user says
A candidate instruction coupling in conjunction, identifies the entity extracted that this candidate instruction is corresponding, thus
The voice control of this entity extracted being recognized in current page from the voice that user says
System instruction.
Flow chart and block diagram in accompanying drawing show the system of multiple embodiments according to the present invention, method
Architectural framework in the cards, function and operation with computer program.In this, flow process
Each square frame in figure or block diagram can represent a module, program segment or a part for code, described
A part for module, program segment or code comprises one or more logic function for realizing regulation
Executable instruction.It should also be noted that some as replace realization in, the merit marked in square frame
Can occur to be different from the order marked in accompanying drawing.Such as, two continuous print square frames are actual
On can perform substantially in parallel, they can also perform sometimes in the opposite order, and this is according to involved
Function depending on.It is also noted that each square frame in block diagram and/or flow chart and block diagram and
/ or flow chart in the combination of square frame, can with perform the function of regulation or the special of operation based on firmly
The system of part realizes, or can realize with the combination of specialized hardware with computer instruction.
It is obvious to a person skilled in the art that the invention is not restricted to the thin of above-mentioned one exemplary embodiment
Joint, and without departing from the spirit or essential characteristics of the present invention, it is possible to concrete with other
Form realizes the present invention.Therefore, no matter from the point of view of which point, embodiment all should be regarded as exemplary
, and be nonrestrictive, the scope of the present invention is limited by claims rather than described above
It is fixed, it is intended that all changes fallen in the implication of equivalency and scope of claim are included
In the present invention.Any reference in claim should not be considered as limit involved right want
Ask.
Claims (10)
1. the method (1) identifying the phonetic control command for the entity in current page, bag
Include:
Entity (110) is extracted from current page；
Based on the entity extracted and corresponding structure template, structure candidate instruction set (120)；
The voice said based on user mates with the candidate instruction in candidate instruction set, says from user
The phonetic control command (130) of the entity being recognized in current page in the voice gone out.
Method the most according to claim 1, wherein extracts entity (110) from current page
Step includes:
By the word participle (1101) in current page；
Judge the part of speech (1102) of the word separated；
Each word input grader in the word with specific part of speech that will separate, to judge that this word is
No is to constitute the word of entity and constitute the beginning of entity, centre or end (1103), classification
Device is that the set of prior entity and non-physical word sample trains；
According to grader, the judgement of each word in the described word with specific part of speech separated is tied
Really, it is judged that whether this word with specific part of speech is entity (1104).
Method the most according to claim 1, wherein structure template is previously formed as follows: from active user
Historical voice control command set in each voice control command in extract entity, and
Extract the language mode around the entity of this extraction, as a structure corresponding with the entity extracted
Mold board.
Method the most according to claim 1, wherein structure template is previously formed as follows: from all users
Historical voice control command set in each voice control command in extract entity, and
Extract the language mode around the entity of this extraction, as a structure corresponding with the entity extracted
Mold board.
Method the most according to claim 1, wherein based on the entity extracted and corresponding structure template structure
The step making candidate instruction set (120) includes:
Based on the entity extracted, the synonym (1201) of the entity extracted described in acquisition；
The correspondence of the entity extracted described in the synonym of the entity extracted, acquisition is respectively applied to
Structure template, respectively obtains corresponding candidate instruction, puts into (1202) in candidate instruction set.
Method the most according to claim 1, the voice wherein said based on user and candidate instruction set
In the entity that is recognized in current page from the voice that user says of the coupling of candidate instruction
The step of phonetic control command (130) including:
The voice said in response to user mates with a candidate instruction in candidate instruction set, identifies
The entity extracted that this candidate instruction is corresponding, thus be recognized for from the voice that user says
The phonetic control command of this entity extracted in current page.
7. the device (2) identifying the phonetic control command for the entity in current page, bag
Include:
Extracting unit (210), is configured to extract entity from current page；
Structural unit (220), is configured to based on the entity extracted and corresponding structure template, structure
Make candidate instruction set；
Recognition unit (230), be configured to the voice said based on user with in candidate instruction set
The coupling of candidate instruction, the entity being recognized in current page from the voice that user says
Phonetic control command.
Device the most according to claim 7, wherein extracting unit (210) is configured to:
By the word participle in current page；
Judge the part of speech of the word separated；
Each word input grader in the word with specific part of speech that will separate, to judge that this word is
No is to constitute the word of entity and constitute the beginning of entity, centre or end, and grader is prior
Train with the set of entity and non-physical word sample；
According to grader, the judgement of each word in the described word with specific part of speech separated is tied
Really, it is judged that whether this word with specific part of speech is entity.
Device the most according to claim 7, wherein structure template is previously formed as follows: from active user
Historical voice control command set in each voice control command in extract entity, and
Extract the language mode around the entity of this extraction, as a structure corresponding with the entity extracted
Mold board.
Device the most according to claim 7, wherein structure template is previously formed as follows: useful from institute
Each voice control command in the set of the historical voice control command at family extracts entity,
And extract the language mode around the entity of this extraction, corresponding with the entity extracted as one
Structure template.
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| CN201510031182.3A CN105869640B (en) | 2015-01-21 | 2015-01-21 | Method and device for recognizing voice control instruction aiming at entity in current page |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112668337B (en) * | 2020-12-23 | 2022-08-19 | 广州橙行智动汽车科技有限公司 | Voice instruction classification method and device |
| TWI805008B (en) * | 2021-10-04 | 2023-06-11 | 中華電信股份有限公司 | Customized intent evaluation system, method and computer-readable medium |
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