CN102222070A - Related system and method for approximate words - Google Patents

Abstract

The invention discloses an association system and an association method of approximate words, which are used for associating a first word with a second word according to an approximation degree by continuously screening translated words as the first word and the second word and comparing the first word with the second word so as to achieve the technical effect of improving the association between different translated words.

Description

An Approximate Vocabulary Association System and Its Method

technical field

The present invention relates to an associating system and method thereof, in particular to a system and method for associating similar words that can associate different translated words according to the degree of spelling similarity of the translated words.

Background technique

In recent years, with the popularization of computers and the vigorous development of the Internet, the opportunities for users to access multilingual documents have increased significantly compared with the past. Therefore, translation programs that can provide users with querying the meaning of translated words have sprung up.

Generally speaking, the translation program has a vocabulary database, the translation database stores translated vocabulary, and the translated vocabulary includes vocabulary information. After inputting the query word, the user queries the corresponding translated word through the vocabulary database, so as to know the meaning of the searched word according to the vocabulary information of the translated word. However, at present, users are no longer satisfied with simply displaying corresponding query results. Therefore, how to increase the richness of their query results has become one of the problems that various manufacturers are eager to solve.

In view of this, some manufacturers propose to add related words, such as synonyms and antonyms, in the query results, so as to provide users with richer learning content. However, if similar vocabulary can be additionally displayed in the query result, it will help the user to memorize more vocabulary quickly, and the query result will be richer. Therefore, how to effectively and automatically judge the similarity of different translated words and associate different translated words according to the similarity has become an urgent problem to be overcome.

To sum up, it can be seen that there has been a long-standing problem in the prior art that approximate words of the query words cannot be effectively obtained. Therefore, it is necessary to propose improved technical means to solve this problem.

Contents of the invention

In view of the problems existing in the prior art, the present invention provides an approximate vocabulary association system and its method.

The association system of approximate vocabulary provided by the present invention includes: a vocabulary database, a screening module, a dismantling module and an association module. Among them, the vocabulary database is used to store translation vocabulary, and each translation vocabulary includes index value and vocabulary information; the filtering module is used to receive filtering conditions, and filter translation vocabulary according to the filtering conditions, and continuously select and load from the filtered translation vocabulary The two translation vocabulary are used as the first vocabulary and the second vocabulary; the dismantling module is used to disassemble the first vocabulary into a plurality of first vocabulary letters, and the second vocabulary is disassembled into a plurality of second vocabulary letters; the association module is used To compare the letters of the first vocabulary with the letters of the second vocabulary, and generate a difference value according to the number of times that the comparison does not match, stop the comparison when the difference value is greater than the allowable value, and when the comparison is completed, the second vocabulary's The index value is embedded in the vocabulary information of the translation vocabulary corresponding to the first vocabulary.

In addition, the system may further include a query module for receiving query words, querying matching translation words from a vocabulary database according to the query words, and displaying corresponding word information. The index value of each translation vocabulary is composed of characters and numerical values, and is unique; the filter conditions include the setting of vocabulary length, phrase and part of speech; and the allowable value is preset by pressing the function key or clicking the cursor The value of the setting.

As for the method for associating similar words of the present invention, the steps include: providing translation words in a vocabulary database, each translation word includes index value and word information; receiving filter conditions, and filtering translation words according to the filter conditions, and self-filtered In the translation vocabulary, continue to select and load two translation vocabulary as the first vocabulary and the second vocabulary; disassemble the first vocabulary into multiple first vocabulary letters, and disassemble the second vocabulary into multiple second vocabulary letters; disassemble the second vocabulary Compare a letter of a vocabulary with a letter of a second vocabulary, and generate a difference value according to the number of times of comparison mismatches, stop the comparison when the difference is greater than the allowable value, and embed the index value of the second vocabulary when the comparison is completed Vocabulary information of the translated vocabulary corresponding to the first vocabulary.

In addition, the above method further includes the step of receiving the query word, searching for a corresponding translation word from the vocabulary database according to the query word, and displaying the corresponding word information. The index value of each translation vocabulary is composed of characters and numerical values, and is unique; and the filter conditions include the setting of vocabulary length, phrase and part of speech; and the allowable value can be selected by pressing the function key or clicking the cursor preset value.

The system and method provided by the present invention are as above, and the difference between the present invention and the prior art is that the present invention continuously screens the translation vocabulary as the first vocabulary and the second vocabulary, and compares the first vocabulary and the second vocabulary, so that The first vocabulary is associated with the second vocabulary based on similarity.

Through the above-mentioned technical means, the present invention can achieve the technical effect of improving the relevance of different translation vocabulary.

Description of drawings

Fig. 1 is the system block diagram of the association system of approximate vocabulary of the present invention;

Fig. 2 is the method flowchart of the association method of approximate vocabulary of the present invention;

Fig. 3 is the schematic diagram of applying the present invention to set screening conditions;

FIG. 4 is a schematic diagram of applying the present invention to input query vocabulary to query vocabulary information with similar vocabulary.

[Description of main component symbols]

101 Vocabulary Database

102 screening modules

103 Disassemble the module

104 association modules

110 query module

300 setting window

301 Cursor

311 vocabulary length setting block

312 Phrase selection component

313 Part of speech selection component

321 Identify components

322 cancel component

400 query window

411 input block

412 query component

420 display blocks

421 Vocabulary information

422 Approximate vocabulary

Detailed ways

The implementation of the present invention will be described in detail below in conjunction with the drawings and examples, so that the realization process of how to use technical means to solve technical problems and achieve technical effects in the present invention can be fully understood and implemented accordingly.

Before explaining the association system and method of similar vocabulary provided by the present invention, the nouns defined by the present invention will be described first. The translation vocabulary described in the present invention includes index values and vocabulary information. For example, assuming the translation vocabulary is "shy", the index value it contains can be "~R1234", and the vocabulary information is "shy". Wherein, the index value may be composed of characters and numbers, and is unique. However, the present invention does not limit the format of the index value. In addition, the difference value described in the present invention represents the degree of approximation, and the greater the difference value, the greater the difference between the two translated words (the smaller the degree of similarity), and vice versa, the smaller the difference (the greater the degree of similarity).

The association system and method thereof of the approximate vocabulary of the present invention are further described in conjunction with the drawings below, please refer to "Fig. 1". 102 . The disassembly module 103 and the association module 104 . Wherein, the vocabulary database 101 stores a plurality of translation vocabulary, and each translation vocabulary includes an index value and vocabulary information. The vocabulary database 101 can be implemented using a relational database (Relational Database) or an archive file in practice. In addition, since the translation vocabulary, index value and vocabulary information have been described in the aforementioned self-defined nouns, no more details are given here.

The filtering module 102 is configured to receive the filtering conditions, and filter the translated words in the vocabulary database 101 according to the filtering conditions, and continuously select two translated words from the filtered translated words as the first word and the second word. The first vocabulary is the main vocabulary, and the second vocabulary is a vocabulary used for comparison with the first vocabulary. After the first vocabulary is compared with all translation vocabulary in the vocabulary database 101, another translation vocabulary is selected as the first word. The continuous selection means that after the comparison between the first vocabulary and the second vocabulary is completed, the first vocabulary remains unchanged temporarily, and then another translation vocabulary will be selected as the second vocabulary for subsequent comparison with the first vocabulary, Until all the translation vocabulary in the vocabulary database 101 has been used as the second vocabulary and compared with the first vocabulary, another translation vocabulary is selected as the first vocabulary, and the above process is repeated until all the filtered translation vocabulary are compared with each other. So far. For example, assuming that the vocabulary database 101 stores three translation vocabulary "A", "B" and "C" that meet the filtering conditions, if the translation vocabulary "A" is selected as the first vocabulary and the translation vocabulary "C" is selected as the first vocabulary after filtering. The second vocabulary, after the comparison between the first vocabulary "A" and the second vocabulary "C", the translation vocabulary "B" will continue to be selected as the second vocabulary, while the first vocabulary will remain unchanged until the first vocabulary " After comparing A" with "B" and "C" respectively, another translation word is continuously selected as the first word. In actual implementation, a setting block may be provided for the user to set vocabulary length, phrase and part of speech as filtering conditions. For example, suppose the word length of the filter condition is set to a value of "3", which means to exclude translation words consisting of less than three letters, such as "ax"; the value of phrase is set to "0", which means that the exclusion type is "phrase ", such as: "a lot of"; the part of speech is set to "preposition", which means that the translation vocabulary with "preposition" is excluded, such as: "between".

The disassembly module 103 is used to disassemble the first vocabulary into a plurality of first vocabulary letters, and disassemble the second vocabulary into a plurality of second vocabulary letters. For example, assuming that the first word is "good", the dismantling module 103 will disassemble it into four letters of the first word such as "g", "o", "o" and "d". Similarly, assuming that the second vocabulary is "god", the dismantling module 103 will disassemble it into three letters of the second vocabulary such as "g", "o" and "d". Since the method of dismantling words into letters is a known technique, it will not be further explained here.

The association module 104 is used to compare the first vocabulary letter with the second vocabulary letter, and generate a difference value according to the number of times of the mismatch. When the difference value is greater than the allowable value, the comparison is stopped, and when the comparison is completed, the The index value of the second vocabulary is embedded in the vocabulary information of the translation vocabulary corresponding to the first vocabulary. The allowable value can be preset by pressing a function key or clicking with a cursor. Taking the first vocabulary letter and the second vocabulary letter disassembled by the above-mentioned dismantling module 103 as an example, the comparison method can be as follows: first compare the first first vocabulary letter "g" with the first second vocabulary letter Vocabulary letter "g" is compared, and the result of the comparison is obtained; since the aforementioned is a comparison, the next first vocabulary letter is selected to be compared with the next second vocabulary letter, that is, the second A vocabulary letter "o" is compared with the second second vocabulary letter "o", and the matching result is also obtained; the third first vocabulary letter "o" is compared with the third second vocabulary letter " d" is compared, and the result of the comparison is inconsistent, and the difference value is "1"; the fourth first vocabulary letter "d" is compared with the third second vocabulary letter "d", and obtain matching results. So far, the comparison process between the first vocabulary letter and the second vocabulary letter is completed. In particular, the reason why the fourth first vocabulary letter is compared with the third second vocabulary letter is because the third first vocabulary letter does not match the third second vocabulary letter , therefore, the next (in this case, the fourth) first word letter needs to be compared from the second word letter that does not match (that is, the next one that matches, in this case, the third) , until the comparison matches. In addition, when each letter of the first vocabulary is compared with the letter of the second vocabulary, assuming that the continuous comparison does not match, the number of times that the comparison does not match is still calculated with the value "1". For example, assuming The first letter of the first vocabulary is "a", the letter of the second vocabulary is "g", "o" and "d", then the first letter of the first vocabulary and the letter of the second vocabulary are "g", "o" " and "d" for comparison, although the three comparisons are all inconsistent, but the number of times the comparison is not consistent is still counted as one.

Based on the above, assume that the first vocabulary "good" has an index value of "~R1000" and the vocabulary information is "good."; and the second vocabulary "god" has an index value of "~R1011" and the vocabulary information For "Idol.". Taking the above comparison method as an example, when the comparison is completed, the difference value will be "1". At this time, the association module 104 will embed the index value "~R1011" of the second vocabulary into the corresponding index value of the first vocabulary "good". Translate the lexical information of the word "good", such as: "Good. ~R1011".

In addition, the system for associating similar vocabulary in the present invention may further include a query module 110, which is used to receive the query vocabulary input by the user, and query the corresponding translation vocabulary from the vocabulary database 101 according to the query vocabulary, and display the corresponding lexical information. In particular, when an index value is already embedded in the displayed vocabulary information, the corresponding translated vocabulary can be loaded according to the index value for further query by the user. The query method will be described in detail later with the diagram.

Next, please refer to the diagram shown in "Fig. 2". "Fig. 2" is a flow chart of the method for associating approximate vocabulary in the present invention. The steps include: providing a plurality of translation vocabulary in the vocabulary database 101, and each translation vocabulary includes an index value and vocabulary information (step 210); receive the filter condition, and filter the translation vocabulary according to the filter condition, and from the translation vocabulary filtered out, continue to select and load two translation vocabulary as the first vocabulary and the second vocabulary (step 220); The first vocabulary is disassembled into a plurality of first vocabulary letters, and the second vocabulary is disassembled into a plurality of second vocabulary letters (step 230); the first vocabulary letter is compared with the second vocabulary letter, and according to the comparison A difference value is generated for the number of times of inconsistency, and when the difference value is greater than the allowable value, the comparison is stopped, and when the comparison is completed, the index value of the second vocabulary is embedded into the vocabulary information of the translation vocabulary corresponding to the first vocabulary (step 240) . Through the above steps, the translation vocabulary can be continuously selected as the first vocabulary and the second vocabulary, and the first vocabulary and the second vocabulary are compared, so as to associate the first vocabulary with the second vocabulary according to the degree of similarity.

In addition to the above steps, the query vocabulary input by the user can be received, and the corresponding translation vocabulary can be searched from the vocabulary database 101 according to the query vocabulary, and the corresponding vocabulary information can be displayed (step 250). Describe the inquiry process in detail.

The following description will be made in the form of an embodiment in conjunction with "Figure 3" and "Figure 4". Please refer to "Figure 3" first. "Figure 3" is a schematic diagram of applying the present invention to set filter conditions, including: setting window 300, Cursor 301 , vocabulary length setting block 311 , phrase selection component 312 , part of speech selection component 313 , determination component 321 and cancel component 322 . It should be noted that the present invention does not limit the quantity and types of components included in the setting window 300 .

When the user wants to associate translation vocabulary, he can first open the setting window 300 to set the filtering conditions, so that the translation vocabulary that allows association can be filtered out according to the filtering conditions, for example: the length of the vocabulary in the setting window 300 Enter a value (for example: "3") in the setting block 311, select whether to exclude the phrase through the phrase selection component 312 (for example: click "exclude" to exclude the phrase), that is, select the part of speech through the part of speech selection component 313, such as: preposition . Then, the user can click the confirmation component 321 to indicate that the setting is completed, or click the cancel component 322 to cancel the above settings.

As mentioned above, when the user clicks the confirmation component 321, the filtering module 102 will receive the above settings as the filtering condition, and filter the translation vocabulary in the vocabulary database 101 according to the filtering condition, and select the translation vocabulary from the filtered translation vocabulary. , choose to load two translation terms as the first term and the second term. Assuming that the two translated words are "book" and "bach" respectively, "book" may be used as the first word, and "bach" may be used as the second word.

Next, the disassembly module 103 will disassemble the first vocabulary "book" into a plurality of first vocabulary letters, such as: "b", "o", "o" and "k", and the second vocabulary "bach" Disassembled into multiple second vocabulary letters "b", "a", "c" and "h". Afterwards, the association module 104 will compare these first vocabulary letters with the second vocabulary letters, and the comparison method is as follows: compare the first first vocabulary letter "b" with the first second vocabulary letter "b " for comparison, and it is judged that the comparison is consistent; the second first vocabulary letter "o" is compared with the second second vocabulary letter "a", and it is judged that the comparison does not match, and the difference value is recorded as Value "1"; compare the second letter "o" of the first vocabulary with the third letter "c" of the second vocabulary, and judge that the comparison does not match, because it is still in the second letter "o" of the first vocabulary " during the comparison process, so the difference value maintains the value "1"; compare the second first word letter "o" with the fourth second word letter "h", and judge that the comparison does not match, because Also in the comparison process of the second first word letter "o", so the difference value maintains the value "1", so far, the comparison process of the second first word letter "o" ends; A vocabulary letter "o" is compared with the second second vocabulary letter "a", and it is judged that the comparison does not match, and the difference value is set to the value "2"; and so on, the third first The vocabulary letter "o" is compared with the third second vocabulary letter "c" and the fourth second vocabulary letter "h" in sequence, and the difference value is maintained at "2"; the fourth first vocabulary letter The letter "k" is compared with the letter "a" of the second second vocabulary, and it is judged that the comparison does not match, and the difference value is set to the value "3"; and then similarly, the fourth first vocabulary The letter "k" is compared with the third letter "c" of the second vocabulary and the fourth letter "h" of the second vocabulary in sequence, and the difference value is maintained at "3", and the comparison is completed. In particular, it should be noted that the reason why the above-mentioned third first vocabulary letter "o" is compared from the second second vocabulary letter "a" is because the comparison occurs when the second second vocabulary letter "a" In the case of a mismatch, in other words, the subsequent first letter of the vocabulary will be compared starting from the next second letter "a" that matches.

When the comparison is completed, the association module 104 embeds the index value of the second vocabulary into the vocabulary information of the translated vocabulary corresponding to the first vocabulary. For the above example, assuming that the index value of the second vocabulary "bach" is "~R3000", and the vocabulary information of the translated vocabulary "book" corresponding to the first vocabulary "book" is "book.", then the association module 104 will The index value "~R3000" embedded in this vocabulary information becomes "book.~R3000". In actual implementation, the association module 104 can further judge whether to perform embedding according to the vocabulary length of the first vocabulary and the difference value generated during the comparison process. For example, when the vocabulary length of the first vocabulary is the value "4" When , the difference value is less than or equal to the value "1" before embedding (in the above example, in this case, the index value of the second vocabulary will not be embedded); the vocabulary length of the first vocabulary is from the value "5" to When the value is "10", the difference value is less than or equal to the value "2" before embedding... and so on. However, the present invention does not limit the way of judging embedding. In addition, before the comparison, the association module 104 may also first determine whether the vocabulary information of the first vocabulary already has the index value of the second vocabulary, and if not, perform the comparison; otherwise, no comparison is required.

In addition, if the user presses the function key, such as pressing the keyboard button "F2" to set the allowable value to the value "2", then when the difference value becomes "3" in the above comparison process, the associated Module 104 will stop comparison, and select another translation vocabulary as the second vocabulary from the translation vocabulary screened out again by screening module 102, so that repeat above-mentioned comparison process, and because its comparison process is identical with above-mentioned, so in This will not be repeated here.

As shown in "FIG. 4", "FIG. 4" is a schematic diagram of applying the present invention to input query vocabulary to query vocabulary information with similar vocabulary. When all the translated vocabulary selected are used as the first vocabulary and the second vocabulary, and compared with each other, the translated vocabulary in the vocabulary database 101 may contain an index value, and the translated vocabulary corresponding to the index value as an approximation. In practical implementation, the user can query similar words through the query window 400 generated by the query module 110 .

For example, the user can input the query term “book” in the input block 411 and click the query component 412 with the cursor 301 . At this time, the query module 110 will receive the query word "book", and query the corresponding translation vocabulary from the vocabulary database 101 according to the query word. Therefore, as shown in "Fig. 4", the vocabulary information 421 "book." is displayed in the display block 420, and the corresponding translation vocabulary "bash" is searched from the vocabulary database 101 according to the index value "~R3000" as an approximate vocabulary 422 to display.

In summary, it can be seen that the difference between the present invention and the prior art lies in that the translation vocabulary is continuously selected as the first vocabulary and the second vocabulary, and the first vocabulary and the second vocabulary are compared, so that the second vocabulary can be compared according to the degree of similarity. A vocabulary is associated with a second vocabulary, and by means of this technical means, problems existing in the prior art can be solved, thereby achieving the technical effect of improving the relevance of different translation vocabulary.

Although the present invention is provided as above with the foregoing embodiments, it is not intended to limit the present invention. Any person skilled in the art may make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the present invention The scope of patent protection shall be defined by the claims attached to this specification.

Claims (10)

1. the interconnected system of an approximate vocabulary is characterized in that, comprises:

One lexical data base, in order to store a plurality of translation vocabulary, each translation vocabulary comprises an index value and a lexical information;

One screening module in order to receiving screening conditions, and is screened those translation vocabulary according to these screening conditions, and in the translation vocabulary that goes out of self-sizing, continues to select to load two translation vocabulary as one first vocabulary and one second vocabulary;

One disassembles module, in order to this first vocabulary being disassembled into a plurality of first vocabulary letters, and a plurality of second vocabulary letters is disassembled in this second vocabulary; And

One relating module, in order to those first vocabulary letters are compared with those second vocabulary letters, and produce a difference value according to the number of times that comparison is not inconsistent, when this difference value stops comparison during greater than an allowable value, and when comparison is finished, the index value embedding and first vocabulary of this second vocabulary is translated accordingly the lexical information of vocabulary.

2. the interconnected system of approximate vocabulary as claimed in claim 1, it is characterized in that this system more comprises an enquiry module, in order to receive an inquiry vocabulary, and in lexical data base, inquire about the translation vocabulary that conforms to, and show corresponding lexical information according to this inquiry vocabulary.

3. the interconnected system of approximate vocabulary as claimed in claim 1 is characterized in that, this index value of each translation vocabulary is formed by character and numerical value, and has uniqueness.

4. the interconnected system of approximate vocabulary as claimed in claim 1 is characterized in that, these screening conditions comprise the setting of vocabulary length, phrase and part of speech.

5. the interconnected system of approximate vocabulary as claimed in claim 1 is characterized in that, the numerical value that mode set in advance of this allowable value for clicking by pressing function key or cursor.

6. the correlating method of an approximate vocabulary is characterized in that, step comprises:

Provide a plurality of translation vocabulary in a lexical data base, each translation vocabulary comprises an index value and a lexical information;

Receive screening conditions, and screen those translation vocabulary, and in the translation vocabulary that goes out of self-sizing, continue to select to load two translation vocabulary as one first vocabulary and one second vocabulary according to these screening conditions;

A plurality of first vocabulary letters disassembled in this first vocabulary, and a plurality of second vocabulary letters disassembled in this second vocabulary; And

Those first vocabulary letters are compared with those second vocabulary letters, and produce a difference value according to the number of times that comparison is not inconsistent, when this difference value stops comparison during greater than an allowable value, and when comparison is finished, the index value embedding and first vocabulary of this second vocabulary is translated accordingly the lexical information of vocabulary.

7. the correlating method of approximate vocabulary as claimed in claim 6 is characterized in that, this method more comprises reception one inquiry vocabulary, and inquires about the translation vocabulary that conforms to according to this inquiry vocabulary in lexical data base, and shows the step of corresponding lexical information.

8. the correlating method of approximate vocabulary as claimed in claim 6 is characterized in that, this index value of each translation vocabulary is formed by character and numerical value, and has uniqueness.

9. the correlating method of approximate vocabulary as claimed in claim 6 is characterized in that, these screening conditions comprise the setting of vocabulary length, phrase and part of speech.

10. the correlating method of approximate vocabulary as claimed in claim 6 is characterized in that, the numerical value that mode set in advance of this allowable value for clicking by pressing function key or cursor.

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