CN1212408A - Device and method for word analysis to retrieve sentences - Google Patents
Device and method for word analysis to retrieve sentences Download PDFInfo
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Abstract
A device and method for analyzing words to search sentences induces the meanings that can be expressed by the words in a sentence database, establishes a correspondence table between the meanings and the sentences, and then classifies the meanings of the words to establish a correspondence table between the words and the meanings. After the user inputs the words, the plurality of idea interpretations which can be expressed by the words are searched through the corresponding table of the words and the ideas, after the user inputs the idea options to select one of the plurality of ideas of the words, the corresponding sentence is searched from the sentence database through the corresponding table of the ideas and the sentences, and the hit rate and the searching speed of the search are effectively improved through the method.
Description
The present invention relates to a kind of apparatus and method of retrieving sentence, particularly a kind of correct analysis words and retrieve the apparatus and method of sentence apace.
The method of traditional retrieval sentence generally is to adopt the corresponding relation that each words in the sentence is utilized words and sentence, sets up concordance list, after the input words, utilize this concordance list, thereby the sentence of corresponding words is found in retrieval.This retrieval mode when running into the multiple explanation of words (many ideas property (Muti-concept)), tends to find out many unwanted sentences, and therefore this method lacks correctness with effective.Generally speaking, the words of input by the method for computer search sentence, is all handled according to following several basic steps:
1. with the input computing machine of the words of Chinese, English or other language.
2. find the corresponding sentence of words by words and sentence corresponding tables.
Because in the various language, words is the many ideas of tool (meaning) property usually, the sentence that the user finds is not that he wants probably, and for example: the user imports words " miss " and wants to search the sentence that expression is missed, and can find out following sentence:
“All?right,I?won′t?miss?itfbr?anything.”
" I can miss scarcely "
This output result is incorrect.
In addition, because the same meaning can represent that can miss available other words during retrieval and describe the sentence of expressing this meaning, for example: the user imports words " tolerance " when going to retrieve, and can retrieve less than following sentence with some synonyms:
“He?cannot?brook?being?interfered?with.”
" he is impatient at others' interference "
Therefore, traditional retrieval mode can not retrieve the user effectively and really want to retrieve the sentence that can express the input words meaning, and does not also possess this function for synonymous expression, and therefore traditional retrieval mode has limited the development of other search functions.
It is a kind of in order to retrieving the apparatus and method of sentence by analyzing words that fundamental purpose of the present invention is to provide, and the user can be according to the idea (meaning) of input words, removes to retrieve the real sentence of wanting the words idea (meaning) expressed.
Another object of the present invention is to provide the apparatus and method of a kind of words analysis with the retrieval sentence, the user can utilize the mode of the idea of identification input words with synonym replacement input words, looks for out the sentence that different expression waies are arranged with this words synonym.
According to above-described purpose, the invention provides a kind of apparatus and method by words analysis retrieval sentence, in the process of words retrieval sentence, an idea discrimination device and an idea indexing unit have been increased, the user can utilize idea discrimination device to carry out the idea classification with the words to input, and, retrieve corresponding input word words and phrases by the idea indexing unit.The inventive method comprises the following step:
After the user imports a words, by idea discrimination device the words of importing is carried out idea (meaning) classification, retrieve the address of input words then from word database, and go out this words institute correspondence from target words idea database retrieval and reflect several idea addresses of several ideas (meaning).Then go out several ideas (meaning), and show that several ideas (meaning) are to the user from the idea database retrieval.Import idea (meaning) option signal by the user, with select several ideas (meaning) one of them, then the selected idea address of output is to the idea indexing unit, to carry out the sentence retrieval.From target idea sentence data library searching go out this idea (meaning) corresponding sentence the sentence address, then according to retrieving correct sentence in the subordinate clause subdata base of sentence address, and show that this sentence gives the user.
Consult accompanying drawing now, describe most preferred embodiment of the present invention.
Fig. 1 is according to method of the present invention, forms the calcspar of words analysis with the device of retrieval sentence.
Fig. 2 is according to method of the present invention, sets up the process flow diagram of original words idea database.
Fig. 3 is according to method of the present invention, sets up the process flow diagram in original idea sentence data storehouse.
Fig. 4 is according to method of the present invention, the process flow diagram that carries out the idea discrimination by idea discrimination program.
Fig. 5 is according to method of the present invention, carries out the process flow diagram of sentence retrieval by the idea search program.
Fig. 6 is according to method of the present invention, forms the synoptic diagram in sentence data storehouse.
Fig. 7 is according to method of the present invention, forms the synoptic diagram of original words idea database.
Fig. 8 is according to method of the present invention, forms the synoptic diagram of word database.
Fig. 9 is according to method of the present invention, forms the synoptic diagram of idea database.
Figure 10 is according to method of the present invention, forms the synoptic diagram of target words idea database.
Figure 11 is according to method of the present invention, forms the synoptic diagram in original idea sentence data storehouse.
Figure 12 is according to method of the present invention, forms the synoptic diagram in target idea sentence data storehouse.
The words of various language generally has multiple explanation in different sentences, be many ideas (meaning) property, so a plurality of different ideas (meaning) can be expressed in each words. Sentence is comprised of a plurality of words, unique idea (meaning) should be expressed in each words that forms sentence in sentence, the present invention has namely set up an idea discrimination device and an idea indexing unit according to above-mentioned rule, thereby utilize idea discrimination device words is carried out idea (meaning) analysis, the multiple different meanings of discrimination words, then the user inputs the option signal, selects unique meaning (idea of the unique expression of this words) of this words. Then by the idea indexing unit, carry out word retrieval, thereby obtain the suitable sentence corresponding to the idea of input words.
First shown in Figure 1, be structure of the present invention. Comprise read-only storage (Read Only Memory; ROM) 101, storing software program, word source (Wording Source) 102, system is in order to provide words content, the microprocessor (Microprocessor) 103 of retrieving, in order to the control as central authorities, to integrate words data, random access memory (Random Access Memory; RAM) 104, in order to store and retrieval words data, input equipment 105, words and input idea option signal, output equipment 106 by user's input inquiry, in order to show several ideas (meaning) option and to retrieve the sentence of idea corresponding to the input words to user, idea discrimination device 107, in order to this words is carried out idea (meaning) discrimination, and idea indexing unit 108, with the idea (meaning) so that this words institute discrimination is gone out, carry out Sentence Search, obtain the sentence corresponding to the idea of input words. Word source 102 provides the words of retrieving content, under the software program by read-only storage (ROM) 101 is controlled, and do the words data via microprocessor 103 and process, words content in word source 102 is reanalysed and integrates, and the words data storing that will integrate in random access memory (RAM) 104 to form multiple relevant words data (for example: sentence data storehouse, original words idea storehouse, word database, idea database, target words idea database, original idea sentence data storehouse, target idea sentence data storehouse). And wherein random access memory (RAM) 104 can be used as the database (data bank of language engineering) of computer, in order to store via microprocessor 103, does multiple relevant words data after the Data Integration work of words content. Yet, after the user is by input equipment 105 input one words, idea discrimination device 107 sent in this words input the idea discrimination of words, then via output equipment 106, to the user, show the multiple idea (meaning) that this words comprises, the user by the selected specific idea (meaning) of input equipment 105 afterwards, the address of the specific idea (meaning) after selected is passed in idea indexing unit 108 to carry out the retrieval of suitable sentence, then the user exported in suitable sentence, thereby realize Sentence Search of the present invention.
Idea discrimination device of the present invention and idea indexing unit formation method are as described below:
1. will be stored in from the sentence in word source in the database of computer, to set up the sentence data storehouse (referring to Fig. 6) of storage sentence, in the sentence data storehouse, multiple different idea (meaning) can be expressed in each words of sentence. Therefore, conclude the expressed idea (meaning) in sentence of each words in the sentence in sentence data storehouse, the idea expressed to words (meaning) classified, thereby sets up the corresponding table of words and idea (meaning), and corresponding table has the relation of words and idea. Then will the original words idea database (referring to flow chart and Fig. 7 of Fig. 5) of words and idea relation be arranged with foundation in the words database of showing to deposit in computer corresponding to idea.
2., according to original words idea database, set up the word database (referring to Fig. 8) of storage words take words as order, set up idea database (referring to Fig. 9) take idea as order. Take the words No. ID (words address) of word database as order, and be referenced to original words idea database and idea database, store the target words idea database (referring to Figure 10) of the words relation of idea and sequence with foundation by the idea that coordinates the idea database No. ID (address).
3. by target words idea database and utilize words discrimination program, constitute idea discrimination device of the present invention, go out to import the multiple idea (meaning) of words correspondence with discrimination.
4. each sentence in the parsing sentence database, conclude each words expressed idea (meaning) in the sentence in sentence data storehouse, foundation has the idea (meaning) of idea and sentence relation and the corresponding tables of sentence according to the idea database, and deposit in the database of computing machine to set up original idea sentence data storehouse, it has the relation (referring to Fig. 3 flow process and Figure 11) of idea and sentence.
5. according to original idea sentence data storehouse and idea database, idea ID number (idea address) with the idea database is preface, to the arrangement of sorting of original idea sentence data storehouse, to obtain target idea sentence data storehouse, it has the relation (referring to Figure 12) of the idea of sentence and ordering.
6. by target idea sentence data storehouse and utilize the idea search program to constitute idea indexing unit of the present invention, to check out and the corresponding suitable sentence of expecting of idea.
According to the above, the flow process of setting up original words idea database is encyclopaedized.
Referring to shown in Figure 2, in setting up good sentence data storehouse, retrieve the sentence in sentence data storehouse in regular turn, step 202 and step 204, the retrieval sequence number is N the sentence of N (N is since 1) in the sentence data storehouse, then according to N sentence, retrieves each words in this sentence more in regular turn, shown in step 206 and step 208, the retrieval sequence number is T the words of T (T is since 1) in N sentence.Then analyze T words with N sentence in expressed idea (meaning) (step 210), judge in step 212 whether T words in the sentence was analyzed afterwards, if do not analyze as yet, branch does not lead to step 214, analyze T words in step 214, obtain pairing idea (meaning), and the corresponding relation of one group of idea (meaning) that will obtain and this words, be added in the original words idea database.Afterwards, increase words sequence number T=T+1 (step 216) in the sentence.Analyzed just direct execution in step 216 as if this words in step 212 back.Judge then whether T words is last words (step 218) in this sentence, if not last words, branch does not lead to step 208, and repeating step 208 is to step 218, and all words are all analyzed and finished in this sequence number is N the sentence of N.Increase sentence sequence number N=N+1 (step 220) afterwards.Judge then whether this sentence is last sentence (step 222), if not last sentence, branch does not lead to step 204, and repeating step 204 is to step 222, all sentences are all analyzed and are finished in the sentence data storehouse, to set up a complete original words idea database.
In addition, the flow process of setting up original idea sentence data storehouse is also described.Referring to shown in Figure 3, in setting up good sentence data storehouse, retrieve the sentence in sentence data storehouse in regular turn.In step 302 and 304, N the sentence of retrieval sequence number N (N is since 1) in the sentence data storehouse, and, retrieve each words in this sentence more in regular turn according to N sentence of retrieval, shown in step 306 and step 308, reading sequence number in N sentence is T the words of T (T is since 1).Then, obtain pairing idea (meaning), and, be added in the original idea sentence data storehouse (step 310) one group of corresponding relation of idea (meaning) with sentence according to T words in N sentence of idea database (referring to Fig. 9) analysis.Increase words sequence number T=T+1 (step 312) afterwards, and judge then whether the T words is last words (step 314), if not last words, branch is not toward step 308, program repeating step 308 is to step 314, all words are all analyzed and are finished in this sequence number is N the sentence of N, afterwards, increase sentence sequence number N=N+1 (step 316), and judge then whether this sentence is last sentence (step 318), if not last sentence, branch does not lead to step 304, program repeating step 304 is to step 318, and all sentences are all analyzed and finished in the sentence data storehouse, to set up a complete original idea sentence data storehouse.
Then referring to shown in Figure 4, for the idea discrimination program of the inventive method is carried out the process flow diagram that idea is analyzed.The user sends this words into idea discrimination device by microprocessor and carries out the idea discrimination by after the words of input equipment input desire inquiry (step 402).In the word database that with the words is preface (referring to Fig. 8), utilize binary chop or other search method to seek out this words by microprocessor, obtain its corresponding words ID number (step 404) then.Then, in the target words idea database that with words ID number is preface (referring to Figure 10), utilize binary chop or other search methods to seek out the pairing idea ID of this words number (step 406) according to words ID number that retrieves.Afterwards, according to the idea ID that finds number, (referring to Fig. 9) finds the ID number corresponding idea (step 408) with idea in the idea database data, by output device idea is shown to user's (step 410) with tabulation or alternate manner again, and the request user selects to expect the idea (meaning) (step 412) of this words of inquiring about.Import idea option signal the user by input equipment, to select the suitable meaning (step 414) of input words, promptly finish idea discrimination process, and with the ID result of the idea selected, import idea indexing unit (step 416) into, to carry out the retrieval of suitable sentence.
Then, carry out the process flow diagram of sentence retrieval for idea search program of the present invention referring to shown in Figure 5.In idea ID number (step 502) receiving the output of idea discrimination device afterwards, in the target idea sentence data storehouse that with idea ID number is preface (referring to Figure 12), utilize binary chop or other search methods to seek the corresponding sentence ID (step 504) of selected idea (meaning) by microprocessor, then according to sentence ID number, (referring to Fig. 6) retrieval and the corresponding sentence of idea (step 506) in the subordinate clause subdata base, then again by output device with the sentence that finds, be shown to user's (step 508), thereby finished the program of retrieving suitable sentence.
Comprehensive above-mentioned technology illustrates in detail with following two examples:
Example one:
With sentence " what you next step plan do? " inquiry be example, input Chinese word " plan ", send into idea discrimination device, the query word database obtains words ID number: query aim words idea database obtains the idea ID k k+1 of two ideas (meaning), obtains corresponding idea by the idea database again:
| Sequence number | Words | Idea |
| ????… | ????…… | ????……?????…… |
| ????k-2 | Metering | Calculate; Adjust; Assess; Metering |
| ????k-1 | Metering | Measure; Metering; Weighing; Measure |
| ????k | Plan | Plan; Plan; Predetermined; Want |
| ????k+1 | Plan | Arrange; Prepare; Plan; Prepare |
| ????k+2 | Calculate | Calculate; Calculate; Adjust; Assess |
| ????… | ????… | ????????……???…… |
Two ideas (meaning) of finding are shown to the user, and please the user select:
| Please select the idea that will inquire about: | ？ | ???X |
| ● calculate; Plan; Predetermined; Want to arrange; Prepare; Plan; Prepare | ||
If the user has selected " plan; Plan; Predetermined; Want " this idea, idea discrimination device is passed to the idea indexing unit with the ID k of correspondence.Meaning meaning indexing unit has been found a collection of sentence ID number by target idea sentence data storehouse, finds the content of corresponding sentence again by the sentence data storehouse, and is shown to the user by input equipment:
| .Do you aim to pursue advanced studies |
| Abroad or at home? do you go abroad still pursuit of advanced studies at home? |
| .We plan to hold another trial. we plan to try again. |
| ● what do you go on foot to mean to do down .What do you want to do next.? |
| .He means to succeed. is intended to succeed. |
| .The captain means to complete the task, one way or another. in any case, the team leader is determined will to finish this task. |
| ……??……??……??……??……??…… |
Wherein the 3rd " what the step means to do down for you? " though literal and some difference of sentence of wanting at first to inquire about, but the meaning is the same, so just find satisfactory sentence, and the retrieval mode before adopting is to be difficult to find such sentence, so adopt the present invention can effectively improve the hit rate and the retrieval rate of sentence.
Example two:
Inquiry with sentence " They elected Green to the Academy " is an example, when the user imports words " elect ", it sends into idea discrimination device, the query word database obtains (words address) words ID number, then query aim words idea database obtains idea ID number (idea address) k and k+1 of two ideas, obtains corresponding idea by the idea database again:
| Sequence number | Words | Idea |
| k-2 | educate | Education; Increase and educate; Increase foster; Foster develop; Form; Cultivate; Elevate |
| k-1 | educate | Professor; Teach; Teach; Religion teach; Educate; Instruct; Tutor |
| k | ●elect | Select; Select; Screening; Choose select; Choose; |
| k+ | ||
| 1 | ●elect | Elect; Elect; Election; Recommend elect by general acclaim; Vote; Choose; Return |
| k+2 | ?elongate | Expansion; Stretch; Extend; Prolong spread; Extend; Stretch; Reach |
| … | ??…… | ??……??…… |
Two ideas finding are shown to the user, and ask the user to select the idea of expecting:
| Please select the idea expected: | ？ | X |
| Select; Select; Screening; Choose select; Choose; Pick ● elect; Elect; Election; Recommend elect by general acclaim; Vote; Choose; Return | ||
If the user has selected " electing "; Elect; Election; Recommend by general acclaim " this idea, idea discrimination device is passed to the idea indexing unit with the idea ID k+1 of correspondence.The idea indexing unit has been found a collection of sentence by target idea sentence data storehouse, finds the content of corresponding sentence again by the sentence data storehouse, is shown to the user by input equipment:
| They elected John to the Academy. they to elect John be the research institute academician. |
| They chose me as their representative. they elect me to do their representative. |
| ● They chose Green to the Academy. they to elect Green be the research institute academician. |
| People chose him to be their leader. people elect him to be the leader. |
| The representatives returned her to the senate. representative to elect her be the senator. |
| It is chairman that All the representatives chose Mr.Jiang Chairman. all represents election Mr. Jiang. |
| ??……??……??……??……??……??…… |
The 3rd " They chose Green to the Academy. " wherein though some difference of literal and the sentence of wanting at first to inquire about, the meaning is the same, so just finds satisfactory sentence.If yet, be difficult to find such sentence with traditional search method.Therefore, the present invention can improve the hit rate of the suitable sentence of retrieval, improves the speed of retrieval sentence.
The above is only for the present invention's preferred embodiment, be not in order to limit the present invention's claim, to one skilled in the art, obviously all other do not break away from the equivalence of being finished under the disclosed spirit and changes or modification, all should comprise within the scope of the following claims.
Claims (13)
1. analyze words to retrieve the method for sentence for one kind, this method comprises the following step at least:
Retrieve several ideas of a words;
Select these several ideas one of them; And
According to selected idea retrieval sentence.
2. according to the method for claim 1, it is characterized in that above-mentioned this several ideas that retrieve also comprise the following step:
Receive this words;
Retrieve a words address according to this words;
Go out several idea addresses according to this words address search; And
Go out this several ideas according to these several idea address searches.
3. according to the method for claim 2, it is characterized in that by input one idea option signal with select these several ideas one of them, select these several ideas one of them.
4. according to the method for claim 3, it is characterized in that also comprising the following step according to should selected idea retrieving this sentence:
Idea address according to this selected idea retrieves a sentence address;
Go out this sentence according to this sentence address search.
5. analyze words to retrieve the method for sentence for one kind, this method comprises the following step at least:
Receive a words of user's input;
Go out a words address according to this words from first database retrieval, the described words of this first database storage, and be preface with described words;
Go out several idea addresses according to this words address from second database retrieval, the corresponding relation of described words of this second database storage and idea, and be preface with described words;
Go out several ideas according to these several idea addresses from the 3rd database retrieval, the described idea of the 3rd database storage, and be preface with described idea;
By import an idea option signal select these several ideas one of them;
Idea address according to the idea of this selection goes out a sentence address from the 4th database retrieval, the 4th database storage idea and sentence corresponding relation, and be preface with the idea; And
Go out a sentence according to this sentence address from the 5th database retrieval, the described sentence of the 5th database storage, and be preface with the sentence.
6. analyze words to retrieve the indexing unit of sentence for one kind, this indexing unit comprises:
First memory storage, computer program stored;
The literal source is in order to provide retrieval described words content;
The control and treatment device is in order to integrate described words data;
Second memory storage is in order to store and the described words data of retrieval;
Input media is by user's input signal;
Output unit is given this user in order to display message;
The idea analytical equipment is in order to carry out discrimination according to the words of user input to a plurality of; And
The idea indexing unit in order to according to an idea address of selecting of being exported from this idea discrimination device, carries out the sentence retrieval.
7. according to the device of claim 6, it is characterized in that the formation of above-mentioned idea discrimination device, comprise the following step at least:
Deposit several sentences in, set up first database;
The expressed idea of several words of these several sentences of classification from this first database, to set up first corresponding tables, this first corresponding tables stores the corresponding relation of words and idea;
Store this first corresponding tables, to set up second database, the corresponding relation of this second database storage words and idea;
Arrange these several words of this second database in regular turn, setting up the 3rd database, the described words of the 3rd database storage, and by this control and treatment device ordering, be preface with the words;
Arrange these several ideas of this second database in regular turn, setting up the 4th database, the 4th database storage idea, and by this control and treatment device ordering, be preface with the idea; And
Arrange these several words of the 3rd database in regular turn, and cooperate pairing these several ideas of these several words, setting up the 5th database, the 5th database storage words and idea corresponding relation, and be preface with the words.
8. according to the device of claim 7, it is characterized in that above-mentioned idea analytical equipment is according to this words this several ideas of classifying, this user imports this words, select a words address code according to this words from the 3rd database, select several idea addresses according to this words address code from the 5th database, go out this several ideas according to these several idea addresses from the 4th database retrieval, by this user import an idea option signal with select these several ideas one of them, this idea address of the idea that this is selected outputs to this idea indexing unit.
9. according to the device of claim 7, it is characterized in that the formation of above-mentioned idea indexing unit, comprise the following step:
The expressed idea of these several words of these several sentences of classification from this first database, and with reference to the 4th database setting up second corresponding tables, this second corresponding tables stores the corresponding relation of idea and sentence;
Store this second corresponding tables, to set up the 6th database, the corresponding relation of the 6th database storage idea and sentence; And
Arrange these several ideas of the 4th database in regular turn, and cooperate pairing these several sentences of these several ideas in the 6th database, setting up the 7th database, the 7th database storage idea and sentence corresponding relation, and be preface with the idea.
10. according to the device of claim 9, it is characterized in that above-mentioned idea indexing unit should selected idea address search be gone out this sentence according to what this idea discrimination device exported, go out a sentence address according to this selected idea address from the 7th database retrieval, retrieve this sentence from this first data bank according to this sentence address.
11. the device according to claim 6 is characterized in that, this idea analytical equipment receives this words that this user imports by this input media, these several ideas of this words that goes to classify, and these several ideas are shown to this user by this output unit.
12. according to the device of claim 11, it is characterized in that this user by this input media input idea option signal, with select these several ideas one of them.
13., it is characterized in that selected these several ideas of this user after one of them, retrieve one of them pairing this sentence of these several ideas by this idea indexing unit, and are shown to this user by this output unit according to the device of claim 12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN97119684A CN1065974C (en) | 1997-09-25 | 1997-09-25 | Device and method for word analysis to retrieve sentences |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN97119684A CN1065974C (en) | 1997-09-25 | 1997-09-25 | Device and method for word analysis to retrieve sentences |
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| CN1212408A true CN1212408A (en) | 1999-03-31 |
| CN1065974C CN1065974C (en) | 2001-05-16 |
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| CN97119684A Expired - Fee Related CN1065974C (en) | 1997-09-25 | 1997-09-25 | Device and method for word analysis to retrieve sentences |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104658339A (en) * | 2013-11-19 | 2015-05-27 | 夏育君 | Chinese learning system and method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5642502A (en) * | 1994-12-06 | 1997-06-24 | University Of Central Florida | Method and system for searching for relevant documents from a text database collection, using statistical ranking, relevancy feedback and small pieces of text |
| US5715446A (en) * | 1995-05-22 | 1998-02-03 | Matsushita Electric Industrial Co., Ltd. | Information searching apparatus for searching text to retrieve character streams agreeing with a key word |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104658339A (en) * | 2013-11-19 | 2015-05-27 | 夏育君 | Chinese learning system and method thereof |
| CN104658339B (en) * | 2013-11-19 | 2017-07-25 | 夏育君 | Chinese learning system and method thereof |
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| CN1065974C (en) | 2001-05-16 |
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