JPH0944517A - Method and device for rearranging work meaning sentence - Google Patents

Abstract

PROBLEM TO BE SOLVED: To rearrange and display word meaning sentences of words in the order appropriate to the meaning that words in a word sequence have when the word sequence is inputted by rearranging the word meaning sentences acquired from dictionary information according to priority. SOLUTION: The word sequence is inputted first, words which are not registered in an unnecessary word registration dictionary 2 among the respective words in the word sequence are converted to a standard form with which a dictionary can be referred to, and the word meaning sentences of the converted words are retrieved from an electronized dictionary 4. A character string in each word meaning sentence and its relative word are compared to generate pairs of words and word meaning numbers, on the basis of which word meaning sets are generated. Then word meaning sentences which have many elements in the word meaning sets and correspond to the word meaning numbers of words included in sets with high relativity are rearranged at the heads of the respective words and the word meaning sentences of words which are not registered in the unnecessary word registration dictionary 2 are displayed. Consequently, when the word sequence is inputted, the word meaning sentences of the words are rearranged and displayed in the order corresponding to the meaning that the respective words included in the word sequence have.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a word meaning sentence rearrangement method and apparatus, and more particularly, it can be used in an intelligent information processing field such as a support system for translation work from a foreign language into Japanese such as English-Japanese translation work. The present invention relates to a method and an apparatus for rearranging word meaning sentences.

[0002]

2. Description of the Related Art In general, a word has a plurality of meanings, and therefore a dictionary describes as many word meaning sentences as there are meanings for one word. For example, when an English sentence is translated into Japanese while using the English-Japanese dictionary of a book, when the English-Japanese dictionary is referred to for a word whose meaning is unknown, there are many word meaning sentences corresponding to the word. In such a case, a word meaning sentence suitable for the meaning represented by the word is selected from the target English sentence.

Further, when there are a plurality of words whose meaning is unknown, a plurality of word meaning sentences corresponding to each word are compared with each other to select a word meaning sentence suitable for the English sentence. In order to facilitate the dictionary search, an electronic dictionary system has been developed in which a book dictionary is stored in a CD-ROM or a magnetic storage device, this is electronically searched, and the result is displayed on a display. ing.

[0004]

However, in the electronic dictionary system, when there are a plurality of word meaning sentences corresponding to a word to be searched, the searched word meaning sentences are always output in the same order. We must look at the meanings of the words in order.

When there are a plurality of words whose meaning is unknown, the search must be repeated by the number of words. In particular, if the search results do not remain on the display or the like, it is necessary to take notes or to perform the search again in order to compare the meaning sentences corresponding to a plurality of words. Such problems are common to translation support systems such as English-Japanese translation and German-Japanese translation.

The present invention has been made in view of the above points, and when the above conventional problems are solved and a word string is input,
An object of the present invention is to provide a word meaning sentence rearranging method and device capable of rearranging and presenting the word meaning sentences of words in an order suitable for the meaning of the words included in the word string.

A further object of the present invention is to provide a word meaning sentence rearranging method and device capable of simultaneously presenting the word meaning sentences of each word in an input word string. A further object of the present invention is to rearrange word sense sentences targeting only some of the words in an input word string, and to present only the word sense sentence of a specified word. Is to provide.

[0008]

According to a first aspect of the invention, in a word meaning sentence rearrangement method for inputting a word string and rearranging and presenting the word meaning sentences of the words included in the word string, or The word meaning sentence corresponding to the designated word is acquired from the dictionary information, and the acquired word meaning sentence is rearranged in the order of priority and presented.

FIG. 1 is a diagram for explaining the first principle of the present invention. A second aspect of the present invention is a word meaning sentence rearranging method of inputting a word string (step 10) and rearranging and presenting the word meaning sentences of the words included in the word string. A word that does not need to be searched for is registered, and the word that is not registered in the unnecessary word registration dictionary is converted into a standard form (step 11), and the word meaning sentence corresponding to the converted word is converted into a character string of each word meaning sentence. And a set of words and word sense numbers by comparing the character strings in each word meaning sentence and the related words of the character string by retrieving from a computerized dictionary in which a set of words and a set of related words of the character string are stored. Is created (step 13), a word sense set is created based on the created pair (step 14), and the word sense numbers of words included in a set having a large number of elements in the word sense set and having a high degree of association are used. The corresponding word meaning sentence is the beginning of each word Te permutation (step 15), in the input word string, presents a semantic sentence of words that are not registered in the unnecessary word registration dictionary (step 16).

FIG. 2 is a diagram for explaining the second principle of the present invention. A third invention is a word meaning sentence rearranging method of inputting a word string (step 20) and rearranging and presenting the word meaning sentences of each word included in the word string, wherein , A word that does not need to be searched for a word meaning sentence is registered, the word that is not registered in the unnecessary word registration dictionary is converted into a standard form (step 21), and the word meaning sentence corresponding to the converted word is converted into each word meaning sentence. A set of character strings and a set of related words of the character strings are retrieved from an electronic dictionary (step 22), and the words and meaning numbers are compared by comparing the character strings in each word meaning sentence and the related words of the character strings. A pair of sets of (step 23), and a word sense set based on the created pair (step 24). The word sense of words included in a set having a large number of elements and a high degree of association in the sense set. Word meaning sentences corresponding to numbers Reordering as the first (step 25), in the input word string, presents a semantic sentence of words that are not registered in the unnecessary word registration dictionary (step 26).

FIG. 3 is a diagram for explaining the third principle of the present invention. A fourth aspect of the present invention is a word meaning sentence rearranging method of inputting a word string (step 30) and rearranging and presenting the word meaning sentences of the words included in the word string. A word that does not need to be searched for a sentence is registered. A word that is not registered in the unnecessary word registration dictionary is converted into a standard form (step 31), and a word meaning sentence corresponding to the converted word is converted into a character string of each word meaning sentence. And a set of words and word sense numbers by comparing the character strings in each word meaning sentence and the related words of the character string by searching the computerized dictionary in which the set of words and the set of related words of the character string are stored. Is created (step 33), a word sense set is created based on the created pair (step 34), and the word sense numbers of the words included in the set having a large number of elements and a high degree of relevance are included in the word sense numbers. The corresponding word meaning sentence is the beginning of each word Te permutation (step 35), in the input word string, presents a semantic sentence only the specified word (step 36).

The present invention is a word-sentence rearrangement device for inputting a word string and rearranging and presenting the word-sentence sentences of the words included in the word string, which corresponds to the input word or a designated word. It has a word meaning sentence acquisition means for acquiring the word meaning sentence from the dictionary information, and a rearrangement / presentation means for rearranging and presenting the acquired word meaning sentence in descending order of priority.

FIG. 4 is a block diagram of the first principle of the present invention. A sixth aspect of the invention stores an unnecessary word registration dictionary 2 in which words that do not need to be searched for word meaning sentences are registered, a set of character strings of each word meaning sentence, and a set of related words of the character strings. Of the electronic dictionary 4 and each word in the input word string,
First conversion means 1 for converting a word not registered in the unnecessary word registration dictionary 2 into a canonical form, search means 3 for searching a word meaning sentence corresponding to the converted word from the electronic dictionary 4, and each word meaning sentence A word sense number pair generating means 5 for creating a pair of a word and a word sense number pair by comparing the character string and the related word of the character string.
And a word sense set generation means 6 for generating a word sense set based on the pair generated by the word sense number pair generation means 5, and a word sense number of a word included in a set having a large number of elements in the word sense set and having a high degree of association. And a first presenting means 8 for presenting the word meaning sentences of words that are not registered in the unnecessary word registration dictionary 2 in the input word string. Have.

In a seventh aspect of the present invention, an unnecessary word registration dictionary 2 in which words that do not need to be searched for word meaning sentences are registered, a set of character strings of each word meaning sentence, and a set of related words of the character strings are provided. The digitized dictionary 4 to be stored, second conversion means 1 for converting a word, which is specified in the input word string and not registered in the unnecessary word registration dictionary 2, into a standard form, and a converted word Retrieval means 3 for retrieving the corresponding word meaning sentence from the electronic dictionary 4, and word sense number pair generation means for generating a pair of a word and a meaning number pair by comparing a character string in each word meaning sentence and a related word of the character string. 5, a word sense set generation means 6 for generating a word sense set based on the pair generated by the word sense number set generation means 5, and a word sense of a word included in a set having a large number of elements in the word sense set and having a high degree of association. Rearrange the word meaning sentence corresponding to the number as the beginning of each word That it has a sorting means 7, in the input word string, and the first presentation means 8 to present a semantic sentence of words that are not registered in the unnecessary word registration dictionary 2.

In the eighth invention, an unnecessary word registration dictionary 2 in which words that do not need to be searched for a word meaning sentence are registered, and a set of character strings of each word meaning sentence and a set of related words of the character string are provided. It corresponds to the digitized dictionary 4 that is stored, the first conversion means 1 that converts the words that are not registered in the unnecessary word registration dictionary 2 among the words in the input word string into the standard form, and the converted words. Retrieval means 3 for retrieving word meaning sentences from the electronic dictionary 4
Based on the pairs created by the word sense number set generating means 5 and the word sense number set generating means 5 for generating a pair of a word and a word sense number pair by comparing the character strings in the respective word sense sentences and the related words of the character strings. Means for creating a meaning set by means of a word meaning set, and a means for rearranging a meaning meaning sentence corresponding to a meaning number of a word included in a set having a large number of elements and having a high degree of association in the meaning set as the head of each word. 7 and second presenting means 8 for presenting the meaning sentence of only the designated word in the input word string
And

According to a ninth aspect of the present invention, in the above-mentioned word meaning sentence acquisition means, a character string set is used as dictionary information, and a related word set is generated from the character string set. According to a tenth aspect of the invention, in the word meaning sentence acquisition means, a synonym dictionary or a synonym dictionary is used as dictionary information, and a related word set is generated from a character string set of the dictionary.

As described above, according to the first and fifth inventions, when a word string is input, priority is given to the word meaning sentences of words suitable for the meanings of the words included in the word string, and rearranged. It becomes possible for the user to easily select the presented word meaning sentence in order from the top, by the user himself / herself.

The second and sixth inventions use a dictionary of books as a CD.
-Use the computerized dictionary 4 which is recorded in a computerized dictionary 4 such as a ROM or a magnetic storage device and to which a set of character strings in each word meaning sentence and a set of related words of the character strings are added. That is, a word string is input, and among the words in the word string, the words that are not registered in the unnecessary word registration dictionary are converted into a standard form that allows dictionary lookup, and the word sense sentences of the converted words are digitized dictionary 4
Search from. Next, a pair of a word and a meaning number is created by comparing the character strings in each meaning sentence and its related words, and a meaning set is created based on the pair. Then, the word sense sentences corresponding to the word sense numbers of the words included in the set having a high degree of relevance and having a large number of elements in those word sense sets are rearranged as the beginning of each word, and the unnecessary words in the input word string are sorted. Present the meanings of words that are not registered in the registered dictionary. Thus, when a word string is input, the word meaning sentences of the words can be rearranged and presented in an order suitable for the meaning of each word included in the word string. As a result, the user can quickly determine the word meaning sentence suitable for the meaning of each word in the input word string by reading the word meaning sentence of each word presented by the system from the beginning. Furthermore, by simultaneously presenting the word meaning sentences of the words in the input word string, it becomes easy to compare the word meaning sentences of the words.

Further, in the third and seventh inventions, only the words designated by the user in the input word string are rearranged by the same process as the second and sixth inventions, and the meanings are rearranged. Present the meaning of the specified word. As a result, the word sense sentences can be rearranged only for some of the words in the input word string.

The fourth and eighth inventions are the same as the second invention.
By the same process as the sixth invention, the word meaning sentences of the words in the input word string are rearranged, and the word meaning sentence of only the designated word in the input word string is presented. This makes it possible to present only the designated word.

As described above, according to the present invention, the system does not uniquely determine the meaning of each word, but the system merely rearranges the meaning of each word and leaves the meaning determination to the user. Even in the unlikely event that the system incorrectly presents the word sense order, the user can obtain the meaning represented by each word by reading the second and subsequent word sense sentences without redrawing the dictionary.

[0022]

DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 5 shows the configuration of a word meaning sentence rearranging apparatus of the present invention. The system shown in FIG.
00 and a storage device 200. Processor 100
Is an input unit 110, a standard form conversion unit 120, a dictionary search unit 1
30, a rearrangement unit 140, and a display unit 150. The storage device 200 for storing data and processing results necessary for the processing device 100 is composed of a standard form conversion dictionary 210, an unnecessary word dictionary 220, a computerized dictionary 230, a word table 240, a word sense correspondence table 250, and a word sense set table 260. It

The input unit 110 reads a word string or a designated word and transfers it to the standard form conversion unit 120. The standard form conversion unit 120 converts each word in the word string input from the input unit 110 into a standard form word that can be searched by the dictionary based on the standard form conversion dictionary 210.

The dictionary search unit 130 searches the unnecessary word dictionary 220 and the electronic dictionary 230 and stores the search result in the word table 240. The sorting unit 140 is the dictionary search unit 1
A pair of a word and a meaning number is created by comparing the character strings in the meaning sentence searched in 30 and their related words, and a meaning set is created based on the pair. Further, the word sense sentences corresponding to the word sense numbers of the words included in the set having a large number of elements and a high degree of association in the word sense sets are rearranged as the heads of the words.

The display section 150 displays the word meaning sentences whose sorting has been completed. Standard form conversion dictionary 210 of storage device 200
Stores a rule for converting each word in the word string input from the input unit 110 into a standard form. Unnecessary word dictionary 22
0 stores a word that does not need to be searched for a word meaning sentence.

The electronic dictionary 230 assigns a number (called a word meaning number) to each word meaning sentence corresponding to each headword, and stores the word meaning sentence, a character string in the word meaning sentence, and a related word of the character string. It was done. The word table 240 includes numbers representing the word order of each word in the input word string and the electronic dictionary 23.
The search results searched from 0 are stored.

The word sense correspondence table 250 includes the rearrangement unit 1
A pair of a word and a meaning number set created by 40 is stored. The word sense set table 260 is the word sense correspondence table 25.
A set (called a word sense set) having a set of a word and a word sense number created based on 0 as elements is stored.

Next, an outline of the operation of the rearrangement device will be described. First, a first method of inputting a word string and rearranging and presenting the meaning sentences of the words in an order suitable for the meaning of each word included in the input word string will be described.

FIG. 6 is a flow chart showing the first operation of the present invention. Step 101) The input unit 110 reads a word string input by the user. Step 102) The dictionary search unit 130 checks whether or not each word in the input word string is registered in the unnecessary word dictionary 220. If registered, the processing of the input word string is terminated.

Step 103) Standard form conversion unit 120
Converts a word not registered in the unnecessary word dictionary 220 into a standard form based on a rule stored in the standard form conversion dictionary 210. Step 104) The dictionary search unit 130 searches the digitized dictionary 230 for word sense sentences, character string sets, and related word sets corresponding to the converted standard form words.

Step 105) The dictionary search unit 130
The searched contents are stored in the word table 240. Step 106) Next, the rearrangement unit 140 compares the character string set of each row of the word table 240 with the related word set.

Step 107) The rearrangement section 140
The word sense correspondence table 250 stores pairs of word and word sense number pairs in two rows in which the character string sets are not empty or the product set of the character string set and the related word set is not empty. Step 108) After that, the rearrangement unit 140, based on the word sense correspondence table 250, the word sense set table 260.
Create

Step 109) Word sense set table 26
A word sense sentence corresponding to a set of a word and a word sense number included in a set having a high degree of association and having a large number of elements among 0 is rearranged as a word sense sentence at the beginning of each word. Step 110) Finally, the display unit 150 displays the word meaning sentences corresponding to the words not registered in the unnecessary word dictionary 220, based on the rearrangement result.

Next, as a second operation, an operation in the case of rearranging the word meaning sentences targeting only some of the words in the input word string will be described. FIG. 7 is a flowchart of the second operation of the present invention. Step 201) The input unit 110 inputs a word designated by the user from the input word string.

Steps 202 to 209 perform the same processes as steps 102 to 109 of the first operation shown in FIG. Step 210) Finally, the display unit 150 displays the word meaning sentence corresponding to the designated word based on the rearrangement result.

Next, as a third operation, an operation of displaying only the designated word on the display unit 150 will be described. FIG.
FIG. 7 is a flowchart of the third operation of the present invention. The processing from step 301 to step 309 is the first in FIG.
Performs the same operation as.

Step 310) Finally, the word designated by the user is read. (Step 311) The display unit 150 displays only the word meaning sentences corresponding to the designated and specified, based on the rearrangement result.

[0038]

DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below with reference to the drawings. FIG.
Shows an input word string according to an embodiment of the present invention. As shown in the figure, "I deposit
money in the bank. ”and“ The river often overflow ”
s its banks. ”is input from the input unit 110.

FIG. 10 shows an example of a standard form conversion dictionary according to an embodiment of the present invention. In the standard form conversion dictionary 210 shown in the figure, "*" in the dictionary represents an arbitrary character string. The first line is "If the end of the word is" s "and the end" s "is deleted as a headword of the electronic dictionary 230, the standard form deletes the end" s ". It is a thing
Means that. For example, in the case of the word "banks", the end is "s", and since "bank" is registered as a headword of the electronic dictionary 230, the rule of the first line is applied and the standard form is "bank". "It becomes.

FIG. 11 shows an example of an unnecessary word dictionary according to an embodiment of the present invention. For example, articles, prepositions, pronouns, etc., such as "a", "an", and "the" registered in the unnecessary word dictionary 220 are
Means a word that does not require a search for word meaning. FIG.
Shows an example of an electronic dictionary according to an embodiment of the present invention. The computerized dictionary 230 includes headwords, word sense numbers, word sense sentences, character string sets, and related word sets. The electronic dictionary 230 is
A word sense number is assigned to each word sense sentence corresponding to each headword, and a word sense sentence, a set of character strings in the word sense sentence (called a character string set), and a set of related words related to the character string (related word set and Call). For example, the entry word "deposit"
The word meaning sentence corresponding to the word meaning number “1” is “put <object>“ at a certain place ”, down”, and the character string set is {object, place, place} related word set is {article, article, Goods, ...}.

Words having the same spelling but different origins are described as separate headings, with numbers attached at the end. For example, in the case of the word "bank", the headwords are described as "bank1", "bank2", etc. 13 and 14 are examples of word tables according to an embodiment of the present invention. The word order column of the word table 240 shown in FIGS. 13 and 14 shows the order from the beginning of the word in the input word string, and the word column shows the standard form of each word in the input word string. The search results of the electronic dictionary 230 having each word as a headword are stored in the fields after the word sense number.

FIG. 15 shows an example of a word sense correspondence table according to an embodiment of the present invention. The word sense correspondence table 250 shown in FIG.
Is composed of a pair of a word and a word sense number, and a degree of association.
The degree of association is set by the relationship between the character string set and the related word set corresponding to the word sense numbers of word 1 and word 2. As an example, in this embodiment, word 1 and word 2
If the product set of both character string sets corresponding to the respective word sense numbers of is not empty, "1.0" is set, and if the product set of one of the character string sets and the related word set of the other is not empty. , “0.5” is set. In the case of the first line in the same figure (a), the meaning number "1" of the word "deposit" and the word "bank3"
The product set of both character string sets corresponding to each of the word sense numbers “1” is {object}, and the degree of association is “1.0” because it is not empty. In the fifth line, the word "deposi"
The character string set corresponding to the word sense number "6" of t "and the word 2
The product set with the related word set corresponding to the meaning number “1” of “money” is {coin}, and the degree of association is “0.5” because it is not empty.

FIG. 16 shows an example of a word sense set table according to an embodiment of the present invention. This figure shows the structure of the word sense set table 260 created based on the word sense correspondence table 250 of FIG. The word sense set is a set that is an element of a set of a word and a word sense number. The number of elements represents the number of elements included in the word sense set, and the degree of association is the sum of the degrees of association corresponding to each pair of word and word number in the word sense correspondence table 250.
The priority order indicates the priority order of the word meaning sentences given by the rearrangement unit 140. The second line is (deposit, 2), (mone
It represents a word sense set consisting of y, 1) and (bank2, 1), the number of elements is "3", the degree of association is "2.0", and the priority is "1".

17 and 18 show the results of rearranging the word meanings of the word strings shown in FIG. 9 according to an embodiment of the present invention.
FIG. 17 shows the input word string “I deposit money in” shown in FIG.
18 is a result corresponding to "a bank", and FIG. 18 shows the input word string "The river often overflows its banks."
Is the result corresponding to.

The rearrangement process will be described below by taking the two word strings shown in FIG. 9 as an example. (1) First, the operation of associating word sense sentences in the rearrangement process will be described. FIG. 19 is a flowchart showing a process of associating word meaning sentences in the rearrangement process according to the embodiment of the present invention.
The flowchart corresponds to steps 106 to 107 in FIG.

First, the word table 240 is read line by line (step 401), and lines having different word order column numbers are selected from the word table 240 (step 402).
The character string sets of both rows are compared (step 403), and if the product set of the character string sets is not empty (step 404,
No), a pair consisting of a word and a word meaning number of both lines is stored in the word meaning correspondence table 250 (step 410), and the degree of association is set to "1.0". Further, the product set of the character string set of any row and the related word set of the other are compared (step 40
5) If it is not empty (step 406, no), the word sense correspondence table 25 is used for the pair consisting of the word and the word sense number of both lines.
It is stored in 0 (step 410) and the degree of association is set to “0.5”.

In the example of FIG. 13, the first line is compared with the seventh to twelfth lines having different numbers in the word order column. 1
It is checked whether or not a product set exists in the character string set of the line and the character string sets of the 7th to 21st lines. As a result, the intersection with the character string set on the 20th line is {object}, so the word "d"
eposit "and word number" 1 "(1st line) and word" bank "
The pair of 3 "and the set of word sense number" 1 "(20th line) is stored in the word sense correspondence table 250, and the degree of association is set to" 1.0 ". The same applies to the 2nd to 6th lines. In the 7th line ~
As compared with the 21st line, those that match the conditions are stored in the word sense correspondence table 250. Since the product set of the character string set on the 6th line and the related word set on the 7th line is {coins}, the set of the word "deposit" and the sense number "6", the word "money" and the sense number "1" The degree of relevance of the pair with the group "" is set to "0.5".
In this way, all the rows are compared and the word sense correspondence table 250 is created.

The word sense correspondence table 250 created based on the word table 240 of FIGS. 13 and 14 is shown in FIGS.
It is 6. Next, a storage process in the word sense set table 260 will be described. FIG. 20 is a flow chart showing the storage processing in the word sense set table according to the embodiment of the present invention. The flowchart of the figure is a process corresponding to step 108 of FIG.

First, the word sense correspondence table 250 is read line by line (step 501), and the word sense set table 260 is read.
The set of words and meaning numbers is stored in (step 502), another line for comparison is selected (step 503), and the set of words and meaning numbers is compared with other lines (step 504). If the same word and word sense number set is present in another line (step 505, yes), the word and word sense number set in that line is stored in the word sense set table 260 (step 506). However, if they overlap, they are not stored. The comparison is then repeated for all rows (step 50).
7, step 508). The degree of association is the meaning table 25
The sum of the degrees of association corresponding to each pair of 0 is set.

For example, in the case of the first row of the word meaning correspondence table 250 in FIG. 15A, the word "deposit" and the word meaning number "1" and the word "bank3" and the word meaning number "1" are both different. Since it is not in the line (2nd to 5th lines), the meaning set is {(deposit, 1), (bank3, 1)}, the number of elements is “2”, and the degree of association is “1.0”. To do. on the other hand,
In the case of the 2nd line, since the combination of the word "deposit" and the word sense number "2" exists in the 4th line, the meaning set is {(deposit ;, 2), (bank2, 1)} number of elements "3". , And the degree of association is “2.0”.

Next, the word meaning rearrangement processing will be described. FIG. 21 is a flowchart showing the process of rearranging the word meaning sentences according to the embodiment of the present invention. The flowchart shown in the figure corresponds to the process of step 109 of FIG. First, the word sense set table 260 is read (step 60
1), the elements are sorted in the order of the number of elements (step 602), and if there is one line with the maximum number of elements (step 603, yes), a number "1" indicating the priority order is given to that row (decision of the leading meaning). (Step 606). If there are multiple rows with the maximum number of elements (step 603, no), only the row with the maximum number of elements is sorted in order of relevance (step 6
04), if there is one row with the highest degree of association (step 60)
5, yes), and the priority order "1" is given to the line (step 606). Then, the priority order is set to “2” with respect to the other rows including the same word sense as the row to which the priority order “1” is given,
"3" and "..." are added (step 608). if,
If there is a line to which priority is not given (step 60
9, yes), the same sort of order of the number of elements and the order of relevance are repeated for those rows, and the priority is given to the unassigned rows from the number next to the given priority order. Repeat until there are no lines that have not been added.

FIG. 16 shows the word sense set table 260 thus created. Finally, the display unit 150 rearranges the word sense sentences of the words in the ascending order of priority of the word sense set table 26 and presents them. Note that the word sense sentences corresponding to the word sense numbers of the words not stored in the word sense set table 260 are:
The word meanings in the word table 240 are presented in ascending order. The results thus presented are shown in FIGS. 17 and 18.

By displaying in this way, even if there are a plurality of words whose meaning is unknown, it is not necessary to repeat the search for that number of words, and a memo or the like is taken to compare the meanings of a plurality of words. There is no need. Next, an example in the case where the user specifies an arbitrary word in the input word string will be shown.
In this example, all the input words are not displayed, but only the meaning of the word desired by the user is displayed.

In FIG. 9, "I deposit money in ab"
When "deposit" is input as a designated word in "ank.", it is first determined whether the word is an unnecessary word by the unnecessary word dictionary 220.
Refer to to determine. Since this word is not registered in the unnecessary word dictionary 220, it is transferred to the standard form conversion unit 120. The canonical form conversion unit 120 converts the electronic dictionary 230 into a form of a searchable word and transfers it to the dictionary search unit 130. The dictionary search unit 130 searches the electronic dictionary 230 for the word “deposit”, and searches the searched contents for the word table 2
Store in 40. It is assumed that the contents of the first to sixth lines shown in FIG. 13 are set in the word table 240.

Next, the rearrangement unit 140 causes the word table 2
The character string set of each row of 40 and the related word set are compared to generate a word sense correspondence table 250 as shown in FIG. Next, the rearrangement unit 140 uses the word sense correspondence table 2
Based on 50, the word sense set table 260 is created. Here, the word sense set table 260 regarding “deposit” is
It is configured as shown in FIG. That is, the display unit 150 follows the priority order of the false word set table 260 according to the priority order.
Display the following contents.

[0056]

[Table 1]

As a result, it is not necessary to display the words recognized by the user, and only the words required by the user can be displayed. Also, the rearrangement unit 14
0 creates the word sense set table 260 based on the word sense correspondence table 250, and when the display unit 150 performs the display as shown in FIGS. 17 and 18, only the word sense sentences of the words designated by the user are displayed. It is also possible.

In this embodiment, one sentence (English sentence) is used as the input word string, but the input word string is not limited to one sentence, and a partial word string of a sentence or a plurality of sentences may be used. It may be a spanning word string or multiple sentences. In this embodiment,
An example of using it for English-Japanese translation work was shown, but without being limited to this example, if a German-Japanese dictionary or French-Japanese dictionary concave is used instead of an English-Japanese dictionary, German-Japanese translation, French-Japanese translation etc. It is easily imagined that the system will be a translation support system between two languages other than translation.

Further, in the present embodiment, the character string set and the related word set are prepared in advance in the electronic dictionary, but the character string set is generated from the word meaning sentence each time the processing is performed, and the synonym dictionary or The similar processing can be realized by preparing a synonym point in time in advance and searching for it to generate a related word set from the character string set.

As described above, the present invention is not limited to the above embodiments, and various modifications and applications are possible within the scope of the claims.

[0061]

As described above, according to the word-sentence rearrangement method and apparatus of the present invention, when a word string is input, the word-sentence sentences of the words are arranged in an order suitable for the meaning of each word included in the word string. Since they can be presented instead, the user can quickly determine the meaning sentence suitable for the meaning of each word in the input word string by reading the meaning sentence of each word presented by the system from the beginning.

Further, by simultaneously presenting the word meaning sentences of the respective words in the input word string, it becomes possible to easily compare the word meaning sentences of the respective words. Furthermore, it is also possible to rearrange the word meaning sentences targeting only some of the words in the input word string, or to present only the word meaning sentences of the designated word.

Conventionally, in the case of a system in which the system itself uniquely determines the meaning of a word, the user has to redraw the dictionary again when the word meaning of the system is erroneously determined. According to the above, the system leaves the user to determine the meaning by simply rearranging the meanings of the words in the input word string. Therefore, even if the system incorrectly presents the meaning order, the user will not be able to use the second and subsequent words. The meaning of each word can be obtained by reading the word meaning sentence, so that it is not necessary to redraw the dictionary.

[Brief description of drawings]

FIG. 1 is a diagram for explaining a first principle of the present invention.

FIG. 2 is a diagram for explaining the second principle of the present invention.

FIG. 3 is a diagram for explaining the third principle of the present invention.

FIG. 4 is a principle configuration diagram of the present invention.

FIG. 5 is a configuration diagram of a word meaning sentence rearrangement device of the present invention.

FIG. 6 is a flowchart of the first operation of the present invention.

FIG. 7 is a flowchart of a second operation according to the present invention.

FIG. 8 is a flowchart of the third operation of the present invention.

FIG. 9 is a diagram showing input word strings according to an embodiment of the present invention.

FIG. 10 is a diagram showing an example of a standard form conversion dictionary according to an embodiment of the present invention.

FIG. 11 is a diagram showing an example of an unnecessary word dictionary according to an exemplary embodiment of the present invention.

FIG. 12 is a diagram showing an example of a computerized dictionary according to an embodiment of the present invention.

FIG. 13 is an example (No. 1) of the word table according to the embodiment of the present invention.

FIG. 14 is an example (No. 2) of the word table according to the embodiment of the present invention.

FIG. 15 is a diagram showing an example of a word sense correspondence table according to an embodiment of the present invention.

FIG. 16 is a diagram showing an example of a word sense set table according to an embodiment of the present invention.

FIG. 17 is a diagram (No. 1) showing the result of rearranging the meaning sentences with respect to the word string shown in FIG. 9 according to the embodiment of the present invention.

FIG. 18 is a view (No. 2) showing the result of rearranging the meaning sentences with respect to the word string shown in FIG. 9 according to the embodiment of the present invention.

FIG. 19 is a flowchart showing a process of associating word meaning sentences in the rearrangement process according to the exemplary embodiment of the present invention.

FIG. 20 is a flowchart showing a storage process to a word sense set table according to an embodiment of the present invention.

FIG. 21 is a flowchart showing a process of rearranging word meaning sentences according to an exemplary embodiment of the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 1st conversion means, 2nd conversion means 2 Unnecessary word dictionary 3 Search means 4 Electronic dictionary 5 Word sense number group generation means 6 Word sense set generation means 7 Sorting means 8 Presenting means 100 Processing device 110 Input part 120 Standard form conversion Part 130 Dictionary search part 140 Sorting part 150 Display part 200 Storage device 210 Standard form conversion dictionary 220 Unnecessary word dictionary 230 Electronic dictionary 240 Word table 250 Word sense correspondence table 260 Word sense set table

Claims (10)

[Claims] 1. A word meaning sentence rearrangement method for inputting a word string and rearranging and presenting the word meaning sentences of each word included in the word string, wherein the word meaning sentence corresponding to an input word or a designated word is A method for rearranging word sense sentences, which is characterized by acquiring from the dictionary information, rearranging the acquired word sense sentences in descending order of priority, and presenting them. 2. Among the words in the input word string, words that are not registered in the unnecessary word registration dictionary in which words that do not need to be searched for a word meaning sentence are registered are converted into a dictionary searchable form. , A word meaning sentence corresponding to the converted word is searched from an electronic dictionary in which a set of character strings of each word meaning sentence and a set of related words of the character string are stored, and the character string in each word meaning sentence and the A pair of words and word sense numbers is created by comparing related words in a character string, and a word sense set is created based on the created pair. The word sense according to claim 1, wherein the word sense sentences corresponding to the word sense numbers of the included words are rearranged as the beginning of each word, and the word sense sentences of the words that are not registered in the unnecessary word registration dictionary in the input word string are presented. How to rearrange sentences. 3. A word that is not registered in the unnecessary word registration dictionary among the designated words in the input word string and that does not need to be searched for a word meaning sentence is converted into a dictionary searchable form. Then, the word meaning sentence corresponding to the converted word is searched from a digitized dictionary in which a set of character strings of each word meaning sentence and a set of related words of the character string are stored, and the character string in each word meaning sentence and A pair of a word and a word sense number is created by comparing related words of the character string, a word sense set is created based on the created pair, and a set having a large number of elements and a high degree of association in the word sense set. The word meaning sentence corresponding to the word meaning number of the word included in is rearranged as the beginning of each word, and the word meaning sentence of the word that is not registered in the unnecessary word registration dictionary in the input word string is presented. Method of rearranging the meaning of sentences. 4. A word converted from the words in the input word string that are not registered in the unnecessary word registration dictionary in which words that do not need to be searched for a word meaning sentence are registered to the standard form, and the converted word The word meaning sentence corresponding to is searched from an electronic dictionary in which a set of character strings of each word meaning sentence and a set of related words of the character string are stored, and the character string in each word meaning sentence and the relation of the character string are searched. A pair of a word and a word sense number is created by comparing words, a word sense set is created based on the created pair, and the number of elements in the word sense set is large. The word sense sentence rearranging method according to claim 1, wherein the word sense sentence corresponding to the word sense number is rearranged as a head of each word, and the word sense sentence of only the designated word in the input word string is presented. 5. A word meaning sentence rearrangement device for inputting a word string and rearranging and presenting the word meaning sentences of the words included in the word string, the word meaning corresponding to an input word or a designated word. A word meaning sentence rearranging apparatus comprising: a word meaning sentence acquiring means for acquiring sentences from dictionary information; and a rearranging / presenting means for rearranging and presenting the acquired word meaning sentences in descending order of priority. 6. A word meaning sentence rearranging device for inputting a word string and rearranging and presenting the word meaning sentences of each word included in the word string, wherein words that do not require a search for the word meaning sentence are registered. An unnecessary word registration dictionary, a digitized dictionary that stores a set of character strings of each word meaning sentence and a set of related words of the character string, and the unnecessary word registration dictionary among the words in the input word string First conversion means for converting an unregistered word into a canonical form; search means for searching a word meaning sentence corresponding to the converted word from the electronic dictionary; character strings in each word meaning sentence and the character string A word sense number pair generation means for generating a pair of a word and a word sense number pair by comparing related words, a word sense set generation means for generating a word sense set based on the pair generated by the word sense number generation means, and the word sense There are many elements in the set, Reordering means for rearranging the word meaning sentences corresponding to the word meaning numbers of the words included in the highly frequent set as the beginning of each word, and the word meaning sentences of the words in the input word string that are not registered in the unnecessary word registration dictionary 6. The word meaning sentence rearranging apparatus according to claim 5, further comprising: first presenting means for presenting. 7. A word meaning sentence rearranging device for inputting a word string and rearranging and presenting the word meaning sentences of each word included in the word string, wherein unnecessary words that do not require a search of the word meaning sentence are registered. An unnecessary word registration dictionary, an electronic dictionary that stores a set of character strings of each word meaning sentence and a set of related words of the character strings, and the unnecessary word among the designated words in the input word string Second converting means for converting a word not registered in the registered dictionary into a standard form; searching means for searching a word meaning sentence corresponding to the converted word from the electronic dictionary; and a character string in each word meaning sentence and Word sense number set generation means for generating a pair of a word and a sense number set by comparing related words of the character string, and word sense set generation means for generating a sense set based on the pair generated by the word sense number set generation means. And an element in the word set And a reordering unit that reorders the word sense sentences corresponding to the word sense numbers of the words included in the set having a high degree of relevance as the beginning of each word, and is not registered in the unnecessary word registration dictionary in the input word string. The word meaning sentence rearranging device according to claim 5, further comprising: first presenting means for presenting the word meaning sentence of the word. 8. A word meaning sentence rearrangement device for inputting a word string and rearranging and presenting the word meaning sentences of each word included in the word string, wherein words that do not require a search for the word meaning sentence are registered. An unnecessary word registration dictionary, a digitized dictionary that stores a set of character strings of each word meaning sentence and a set of related words of the character string, and the unnecessary word registration dictionary among the words in the input word string First conversion means for converting an unregistered word into a canonical form; search means for searching a word meaning sentence corresponding to the converted word from the electronic dictionary; character strings in each word meaning sentence and the character string A word sense number pair generation means for creating a pair of a word and a word sense number pair by comparing related words; and a word sense set generation means for generating a word sense set based on the pair created by the word sense number pair generation means, There are many elements in the meaning set, A rearrangement means for rearranging the word meaning sentences corresponding to the word meaning numbers of the words included in the set having a high degree of continuity as the beginning of each word, and a second means for presenting the word meaning sentences of only the designated word in the input word string. The word meaning rearrangement device according to claim 5, further comprising a presenting unit. 9. The word meaning sentence rearranging device according to claim 5, wherein the word meaning sentence acquiring unit uses a character string set as the dictionary information and generates a related word set from the character string set. 10. The word meaning sentence rearranging apparatus according to claim 5, wherein the word meaning sentence acquiring means uses a synonym dictionary or a synonym dictionary as the dictionary information and generates a related word set from a character string set of the dictionary.