JPH07160720A - Method and device for supporting and making efficient translation of information readable by machine - Google Patents

Abstract

PURPOSE:To improve the efficiency of whole translation work by retrieving a translation table based on information written in a first language and taking out corresponding information written in a second language to transfer it to an editing part. CONSTITUTION:An input device 1, a display device 2, and a printer 3 are connected to an editing part 4, and a retrieval part 5 and an editing table 6 are provided. Information which are written in first and second languages and can be read by a machine are edited by the editing part 4, and the retrieval part 5 retrieves the translation table based on information, which is designated by the editing part 4 and is written in the first language, to take out corresponding information written in the second language and transfers this information to the editing part 4. In this case, a dictionary and a term library can be used by a computer, and translated words corresponding the words and idioms included in an original text are automatically retrieved and are shown to a translator, thereby easily standardizing the language.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention generally translates machine-readable information, automatically translating previously translated information before a human translator translates it.
For information that is similar to previously translated information, we present translation candidates to the translator, automatically search for a translation for the word contained in the information, and present the machine-readable translation to the translator. The present invention relates to an apparatus and method for supporting and improving efficiency.

[0002]

2. Description of the Related Art Demand for translation is increasing year by year as internationalization progresses. Although the efficiency of translation work is a very important issue for each industry, a definitive means has not yet been found, and conventional translation work relying on manual labor continues. With the spread of personal computers, attempts have been made to improve the efficiency of translation work using computers even in the field of translation, but only the use of word processors and dictionary search software. Machine translation software that allows computers to perform translation is sold,
Due to its limited translation ability, it has not been put to practical use.

[0003]

Currently, in the field of translation, a word processor is often used to create a translated sentence. A huge amount of translation data created by word processors is accumulated by translation companies that have been translating for many years, translation departments within companies, and individual translators. In such translation data, many parts that can be used for new translation are included. This is because in the field of industrial translation, similar sentences such as specifications, manuals and contracts often appear repeatedly.

However, when actually translating, it is very troublesome for a human to identify which part has been previously translated and which part should be newly translated. For this reason, in the past, unless the above identification is very clear, past translation data was not reused, and the entire original text was always newly translated each time a new translation operation occurred.

In the field of industrial translation, unified translation is required. Unification of translated words is an essential condition for improving the quality of translation. Even for translations of the same type of product, different translations are often required by different manufacturers. Conventionally, a translator determines a translated word by referring to a plurality of commercially available technical term dictionaries or a glossary provided in writing by a translation requester, and manually creates a translated sentence. Translators cannot concentrate on the translation work because it takes time to refer to the glossary. In order to unify the translated words and improve the quality of translation, the translator must be able to easily refer to and edit the translated words corresponding to the original language.

[0006]

According to the present invention, such a large amount of past translation data is converted into a format that can be reused together with an original sentence and stored in a computer, so that when a new translation work occurs, It aims to improve the efficiency of translation. That is, in order to achieve the above-mentioned purpose,
As input / output devices, (1) input device (keyboard),
There are (2) a display device and (3) a printing device, (4) the machine-readable information written in the first and second languages is edited by the editor, and (5) the search unit ( 4) Search the translation table based on the information written in the first language specified by the editor, retrieve the corresponding information written in the second language, and (4) pass it to the editor. Is adopted. In addition, a dictionary and a glossary are made available on a computer, and translated words for the words and idioms included in the original sentence are automatically searched and presented to the translator, so that the translated words can be easily unified. As a result, it is intended to improve the efficiency of translation work and improve the quality of translation work.

In order to store the past translation results in the computer, the correspondence between the sentence written in the first national language and the sentence written in the second national language must be written in the translation table on the computer. The translation table is composed of a set of original sentences and corresponding translated sentences. That is, the translation unit stored in the computer as a translation unit is a sentence. Sentences are identified by symbols such as period (.), Colon (:), and semicolon (;) in English, and (.) At the end of sentence in Japanese. In the case of a translation unit that does not have such a delimiter such as a headline, it is appropriately identified by a line feed character. In this way, the document file created by the word processor and stored for each document file is divided into the original sentence and the translated sentence for each sentence, the correspondence between the original sentence and the translated sentence is determined, and the correspondence is written in the translation table. By storing the translation result in such a format, the translated text can be reused when a new translation work occurs.

The efficiency of translation work is realized by the following procedure. First, one sentence A is extracted from the original sentence. The sentence A is compared with the original sentence stored in the translation table, and if a completely matching original sentence is found, the translated sentence corresponding to the original sentence is output. When an original sentence similar to sentence A is found, the translated sentences corresponding to the original sentence are presented to the translator in descending order of similarity. The translator can easily create a translated sentence by selecting an appropriate one from the presented translated sentences and correcting it so as to match the content of the sentence A. An exact match,
If no similar sentence is found, the translator creates a translated sentence. The translated text corrected or created by the above procedure is sentence A.
With it, write it in the translation table newly so that it can be reused.

If the translated sentence corresponding to the original sentence in the translation table that completely matches sentence A is diverted as it is, sentence A
When the translated sentence corresponding to the original sentence in the translation table similar to the above is corrected to complete the translated sentence, or when the sentence A is completely newly translated, the numbers of words of the original sentence and the translated sentence are individually stored. This information clearly expresses the amount of work done by the translator in a given translation work.

That is, when the translation consideration is calculated, the content of the translation table is completely diverted, the translation is completed and the translation is completed, or a completely new translation is created. If different unit prices are set for and multiplied by the number of words in the original sentence or the translated sentence, an accurate consideration commensurate with the workload of the translator can be obtained. When one sentence is translated by the above procedure and the translated sentence of sentence A is completed, the next sentence B is taken out from the original sentence and the same procedure is repeated. Each time when a translated sentence for a certain original sentence is completed, a pair of the original sentence and the translated sentence is written in the translation table, so that even if a perfectly matched sentence or a plurality of similar sentences appear in the currently translated document, it immediately responds. You can reuse the translated text.

Software for placing a dictionary on a computer and searching it is still commercially available. However, such software cannot search for a phrase without specifying a search word. If there are multiple words / phrases whose meanings or translations you want to confirm in the original text, specify a certain word / phrase included in the original text as a search term, execute the search, refer to the result, and specify another word / phrase as the search term. You have to repeat the operation such as executing the search and referring to the result.

In the present invention, since the translation unit is limited to a sentence, at the same time as searching a matching or similar original sentence from a translation table for a certain original sentence, words and phrases included in the original sentence are cut out, and the meaning and translation of each word and phrase are computerized. Search using the dictionary placed above. This search result is
The list can be displayed by a simple key operation, and translated words can be inserted into the editing area as needed. The dictionary placed on the computer can be added, deleted, and updated. By field,
By preparing a plurality of dictionaries classified by customer and limiting the search target according to the content of the original text, more appropriate translations can be selected. By omitting the troublesome procedure of specifying the search word in the dictionary search software, the translator can easily select the translated word and concentrate on the translation work.

[0013]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT An embodiment of an apparatus and method for assisting and streamlining machine-readable information of the present invention will now be described. First, FIG. 1 shows a block diagram of a translation support device of the present embodiment. According to this, the input device 1, the display device 2, and the printing device 3 are connected to the editing unit 4, and the search unit 5 and the editing table 6 are provided.

More specifically, as shown in FIG. 2, various peripheral devices such as an input device 1 such as a keyboard, a display device 2 such as a CRT, a printer 3 for printing, an auxiliary storage device 8 such as a disk device are connected. Computer body 10
In other words, the translation table 6 by the CPU and the memory,
An editing table 4 and an editing support dictionary 7 are configured. In this case, the translation table 6 stores a large number of translation records, which are input from the input device 2 such as a keyboard or loaded from the auxiliary storage device 8 such as a disk device, and each of which has a pair of the original sentence and the corresponding translated sentence. ing. In addition, a comparison comparing the similarity between the original text file of the first national language input from the input device 2 or loaded from the auxiliary storage device 8 and the original text of the second national language stored in the translation table 6 is compared. A calculation unit is provided to improve the efficiency of translation. Further, an editing table 4 is provided in the computer main body 10 and functions as a character processor, that is, a word processor, by the input device 2 such as a keyboard.

Next, an outline of a procedure for translating using the apparatus and the program of one embodiment of the present invention will be shown. In this embodiment, for example, translation from English to Japanese is performed. 1. Import original text file 2. Batch translation (translation of exact match original text) 3. 3. Translation of similar original text or translation of new original text 4. Reference and selection of translated words 5. Outputting or printing translated text in translated text file An original text file is an original text file in a computer-readable format. The translated text file is the translated text information created by this program that is output in the form of a text file.

Since the original text file cannot identify the sentence unit as it is, the sentence delimiter is inserted between the sentences when the text file is loaded into the program. The sentence delimiters are periods (.), Colons (:), semicolons (;) in English, and (.) At the end of sentences in Japanese.
Identify with symbols such as. For example, in the case of an original text file as shown in FIG. 2, this is converted into a format in which a sentence delimiter is inserted and taken into the program. Note that FIG.
The ← in is a sentence delimiter.

FIG. 3 is a screen shot of the program after importing the source text file. There is an original text display area at the top of the screen and a translated text edit area at the bottom of the screen. The translator creates a translated sentence at the bottom of the screen while looking at the original sentence at the top of the screen. Here, the area at the top of the screen is called the original text display area and the area at the bottom of the screen is called the translated text edit area. The numbers on the left side of the sentence indicate the correspondence between English letters and translated sentences. The cursor exists in the translated text edit area and indicates the position currently being edited. The sentence on which the cursor is positioned is displayed in a color different from that of the other sentences in the original sentence display area and the translated sentence edit area so that the correspondence between the original sentence and the translated sentence currently being translated becomes clear. Immediately after importing the original text file, no cursor has been translated yet, so the cursor is displayed at the left end of the first line of the translated text edit area. The translated text editing area has editing functions similar to those of a general word processor, and can search / replace characters, cut character strings, copy and paste.

A feature that is decisively different from the word processor is that the original text display area and the translated text edit area scroll in synchronization. When creating a translation, the corresponding source text must always be displayed. Therefore, when the cursor in the translated text edit area is moved up and down with the up and down scroll keys, the original text display area is also scrolled in synchronization so that the original text corresponding to the translated text at the cursor is displayed in the original text display area.

In the case of translating using this program, whether the translated sentence is diverted from the translation table, whether the translated sentence diverted from the translation table is corrected to complete the translated sentence, or the translated sentence is newly created. Manage the translation line information so that you can see it. The translated sentence line information is composed of a translated sentence diversion flag and a correction flag, and exists as many as the number of lines. When a translated sentence is diverted from the translation table (including a perfect match and a similar sentence), the translated sentence diversion flag is set to true, and the translated sentence is corrected to complete the translated sentence or a new translated sentence is created. , Set the correction flag to true. If the translation diversion flag is true and the modification flag is false, it means that the translation text was diverted from the translation table and was not modified.If both flags are true, the translation text diverted from the translation table was modified. This means that the translated sentence has been completed. If the translated sentence diversion flag is false and the correction flag is true, it means that a translated sentence is newly created.

The "collective translation" command is executed when the original text file is fetched. In "Batch translation", the source texts in the source text display area are sequentially fetched, and the translated texts corresponding to the source texts are fetched from the translation table only when they exactly match the source texts in the translation table or under specific conditions (see the flowchart). , Repeat the operation of inserting in the corresponding line of the translated text edit area.

FIG. 4 is a flow chart of "collective translation". Referring to FIG. 4, in step 1, the counter i is initialized to 1. In step 2, the existence of the i-th original sentence is checked from the original sentence display area, and if not present, the process ends. If the original sentence i exists, the original sentence i is extracted from the original sentence display area in step 3. Next, in step 4, it is checked whether or not there is an original sentence that completely matches the original sentence i in the translation table. If it exists, the translated sentence corresponding to the corresponding original sentence in the translation table is extracted in step 5. Next, in step 6, the translated sentence is inserted into the i-th line of the translated sentence editing area. Further, since the translated sentence is diverted from the translation table, the translated sentence diversion flag of the translated sentence line information i is set to true in step 7. This is the management data that determines the workload of the translator. Since the processing of the current row is completed, 1 is added to i in step 8 and the process returns to step 2.

If there is no original sentence that completely matches the original sentence i in the translation table in step 4, it is checked in step 9 whether or not the original sentence contains a word consisting of numbers, uppercase letters and special symbols. If it exists, the translation table is searched in step 10, and there is a word in the same position as the corresponding word, which is composed of only numbers, capital letters, and proper nouns.
For the other parts, search for the exact original text. Step 9
If the condition in step 10 is false, the process returns to step 2 to continue the process.

If there is the corresponding original sentence in the translation table, the translated sentence corresponding to this original sentence is taken out in step 11, and the word composed of the numbers, capital letters, and special symbols in the translated sentence is taken in step 12, Replace with a word composed of capital letters and special symbols, and go to step 6. This is because when the numbers and proper nouns in the sentence are different, only that word is automatically converted to generate a translated sentence.

For example, if the next original sentence A is compared with the original sentence B in the translation table, and if it is determined that other parts of the sentence other than the words composed of numbers are the same, the translated sentence corresponding to the original sentence B is obtained. By converting a word composed of the numbers of B into a word composed of the numbers of the original sentence A, an appropriate translated sentence corresponding to the original sentence A can be generated. Original text A: The parts number is 120. Original text B: The parts number is 150. Translation text B: The part number is 150. Translated text A: The part number is 120.

Further, if the next original sentence C is compared with the original sentence D in the translation table, and if it is determined that other parts of the sentence other than the words composed of capital letters and numbers are the same, the original sentence D
An appropriate translated sentence corresponding to the original sentence C can be generated by converting the word composed of the uppercase letters and the numbers of the translated sentence D corresponding to to the word formed of the uppercase letters and the numbers of the original sentence C. Original C: The parts type is A120. Original D: The parts type is B150. Translation D: The part number is B150. Translation C: The part number is A120. By executing "collective translation", the translation of the part that can be translated without human judgment was completed.

FIG. 5 shows the screen of the program after the "collective translation" has been executed. Here, as an example, since a sentence that completely matches the original sentence 1 and the original sentence 3 in the original sentence display area is found in the translation table, the corresponding translated sentence is inserted in the first and third lines of the translated sentence editing area. Next, the original text that could not be processed by "collective translation" is translated. Translation of original sentence 1 is "collective translation"
Since it has already been completed, the original sentence 2 is translated. Move the cursor to the second line of the translated text edit area. Here, by executing the "translate" command, a sentence similar to the original sentence 2 can be searched from the translation table.

FIG. 6 is a flowchart of similar sentence search. Referring to FIG. 6, in step 1, the translation candidate buffer is initialized. The translation candidate buffer is a source text field,
A plurality of records including a translated text field and an original text similarity field can be stored. In step 2, the original sentence A on the line where the cursor is currently located is taken out. In step 3, 1 is substituted for i. In step 4, the existence of the i-th original sentence in the translation table is checked, and if it exists, the original sentence i is taken out from the original sentence display area in step 5. Step 6
Then, the similarity between the original sentence A and the original sentence i is calculated. An example of calculating the degree of similarity will be described below. In step 7, the similarity of the plurality of original sentences already added to the translation candidate buffer is compared with the similarity of the original sentence calculated this time, and the similarity calculated this time is similar to any of the original sentences added to the translation candidate buffer. If it is higher than the degree, the process proceeds to step 8, the translated sentence corresponding to the original sentence in the translation table and the original sentence similarity are added to the translated sentence buffer, the records in the translated sentence candidate buffer are sorted in the order of the original sentence similarity, The record with the lowest original sentence similarity is deleted from the translation candidate buffer. When the condition of step 7 is false and when step 8 is completed, the process proceeds to step 9, 1 is added to i, and the process returns to step 4.

When the condition of step 4 is false, the contents of the translation candidate buffer are written in the translation candidate file and the process ends. The contents of the translated sentence candidate file are already sorted in the order of original sentence similarity. This file is read into the translated sentence candidate area of the program screen and presented to the translator.At that time, different parts of the original sentence in the original sentence display area and the original sentence displayed as a candidate are shown in different colors to clearly show the difference between each candidate sentence. To do.

FIG. 7 shows the screen of the program presenting the candidates for the translated text. When the translator selects the most suitable one of the translation candidates, the selected translation is inserted into the corresponding line of the translation editing area. Further, since the translated text is diverted from the translation table, the translated text diversion flag of the corresponding translated text line information is set to true. When the translated sentence is further modified to complete the translated sentence, the correction flag of the corresponding translated sentence line information is set to true. This is the management data that determines the workload of the translator.

FIG. 8 shows the screen of the program after inserting the translation candidate in the translation editing field. The translator corrects the inserted translated text so as to match the original text in the translation display field, and completes the translated text. Since the translated sentence candidates are displayed in order of similarity, the similarity between the original sentence and the original sentence in the translation table must be calculated.

FIG. 9 is an example of calculation of the degree of similarity. Figure 9
, Each variable is initialized in step 1. Here, the original sentence extracted from the original sentence display area is called an original sentence, and the original sentence to be compared in the translation table is called a comparison sentence. i
And j respectively indicate the positions of the words in the original sentence and the comparative sentence. The original sentence (i) indicates the i-th word in the original sentence, and the comparative sentence (j) indicates the j-th word in the comparative sentence.

Further, jsav is a variable for storing the position of j when the comparison between the original sentence (i) and the comparison sentence (j) fails for the first time, and dif is used for comparing the original sentence (i) and the comparison sentence (j). This variable stores the number of consecutive failures. In step 2, it is checked whether the comparison of the last word of the original sentence or the comparison sentence is completed. If neither is finished,
Go to step 5. If either ends, the process proceeds to step 3, the original sentence to be compared still remains, the comparison sentence ends, and dif> 0 (that is, the comparison of the words of the original sentence and the comparison sentence fails continuously. If so). If this condition is true, the process proceeds to step 4, and if the maximum similarity is smaller than the similarity, the similarity is substituted for the maximum similarity.

Next, in step 5, 1 is added to i,
Substitute jsav for j (return to the position of the word for which comparison of the comparison statement failed), substitute 0 for dif, and reset.
In step 6, the original sentence (i) and the comparative sentence (j) are compared. If the comparison is successful, 1 is added to each of the similarity, i and j, and 0 is substituted for dif to reset. If the condition in step 6 is false, the process proceeds to step 8 and d
Add 1 to if. In step 9, dif> DIFM
Check the state of AX. That is, when the number of times the comparison between the original sentence and the comparison sentence fails reaches DIFMAX, the word position of the original sentence is advanced by 1, the word position of the comparison sentence is returned to the position where the comparison failed, and the comparison is restarted. If this condition is true, the process proceeds to step 10, 1 is added to i, 0 is assigned to dif, and jsav-1 is assigned to j. When the condition in step 9 is false, the process proceeds to step 11 and jsav <=
If j, then j is substituted for jsav.

Next, in step 12, 1 is added to j,
Return to step 2. If the condition in step 3 is false,
Enter the termination process. In step 13, if the maximum similarity is smaller than the similarity, the similarity is substituted for the maximum similarity. Finally, in step 14, the final similarity is calculated. The maximum similarity is multiplied by the absolute value of the difference between the numbers of words forming the original sentence and the comparison sentence, divided by the number of words forming the original sentence, and multiplied by 100.
This result is the degree of similarity, and if the original sentence and the comparative sentence are completely the same, the degree of similarity is 100.

If there is no sentence similar to the original sentence in the translation table, a new translated sentence is created. The translated text is created in the translated text edit area. In the translated text edit area, a similar sentence that has been fetched by the “translation” command and corrected, or a newly created translated sentence is added to the translation table together with the corresponding original sentence when the cursor is moved to the previous or next line. Therefore, when an exact match or a similar original sentence appears next in the same file, the translated sentence can be reused immediately.

A plurality of translation tables can be provided for each category and each customer. For example, automobile-related translation data and computer-related translation data are stored in separate translation tables. When translating an automobile, the translation table relating to the automobile is referred to, and when translating relating to the computer, the translation table relating to the computer is referred to. As a result, it is possible to search for translation data that is suitable for the type of original sentence and that does not waste.

When the "translation" is executed, the words and phrases contained in the original sentence are automatically retrieved from the term dictionary and presented to the translator in the form of a pair of the original word and the translated word. The translator can select an appropriate translated word from the presented translated words and insert the translated word at the cursor position in the translated text edit area by a simple key operation. As a result, the correct translation can be used, and the translation can be unified. Translators can edit the term dictionary and add, delete, and change terms. There can be a plurality of term dictionaries for each field, each customer, and the like. By specifying an appropriate term dictionary at the time of "translation", an appropriate translated word can be used.

When all the translations are completed, the translation created in the translation edit area is output to the translation text file or printed. In either case, the sentence delimiter is removed and output. The present invention is not limited to the above-described embodiments, and various changes in form and details can be made without departing from the gist thereof.

[0039]

In the field of industrial translation, similar sentences such as specifications, manuals and contracts often appear repeatedly. However, when actually translating, it is very troublesome for a human to determine which part has been previously translated and which part should be newly translated. For this reason, in the past, unless the above distinction was made very clear, the entire original sentence was always newly translated each time a new translation operation was performed.

By applying the present invention, it is possible to always translate only a portion that should be newly translated without manually re-translating the same or similar original sentence many times, so that the entire translation work is made efficient. it can. Also, the newly translated portion can be reused in the future by automatically registering it in the translation table. To improve the quality of translation, it is essential to unify the translated words. In order to unify the translated words, the translator must be able to easily refer to and edit the translated words corresponding to the original language.

Conventionally, the translator determines the translated word by referring to a plurality of technical term dictionaries or a glossary provided in writing by the translation requester. Software for placing a dictionary on a computer and searching for it is still commercially available, but such software cannot search for a phrase unless a search word is specified. This takes time and effort to refer to the dictionary and the glossary, so that the translator cannot concentrate on the translation work. According to the present invention, a translator can automatically search for a translated word for a phrase included in an original sentence, refer to the search result by a simple key operation, and easily insert the translated word into the editing area. Since it is unnecessary to use a written dictionary, reference of a glossary, and specification of a search term,
The translation work can be made efficient, and the quality of translation can be improved.

[Brief description of drawings]

FIG. 1 is a block diagram showing an embodiment of a translation support device.

FIG. 2 is a detailed block diagram of the translation support device of FIG.

FIG. 3 shows a text file and information after being included in a program.

FIG. 4 is a program screen after importing an original text file.

FIG. 5 is a flowchart of “collective translation”.

FIG. 6 is a screen of a program after executing “collective translation”.

FIG. 7 is a flowchart of “translation”.

FIG. 8 is a screen of a program presenting translation candidates.

FIG. 9 is a screen of the program after inserting the translation candidate in the translation editing field.

FIG. 10 is a flowchart of original sentence similarity calculation.

[Explanation of symbols]

 1 input device 2 display device 3 printing device 4 editing table 5 search unit 6 translation table 7 dictionary 10 computer body

Claims (16)

[Claims] 1. Input / output devices include (1) input device (keyboard), (2) display device, and (3) printing device,
(4) Edit the machine readable information written in the first and second languages by the editor, and (5) the search unit, (4) write in the first language specified by the editor. A translation table is searched based on the written information, and the corresponding information written in the second language is retrieved and (4) passed to the editing unit, which assists the translation of machine-readable information. And efficiency improvement equipment. 2. A computer comprising a CPU, a memory, an input device, a display device, an auxiliary storage device, etc.
In a device for translating from a first language to a second language by the system, a translation table, an editing table and a dictionary for editing support are configured on a CPU and a memory in a computer main body, and the original text and the original text are stored in the translation table. By storing a large number of translation records each of which has a pair of translated sentences corresponding to, and providing a comparison operation unit for comparing the similarity between the first national language sentence and the second national language original sentence, input or assistance from an input device is provided. The first language sentence loaded from the storage device and the second language original sentence stored in the translation table are compared and calculated to calculate a similarity variable, which is arbitrary for the first language sentence. Of the translation record having a variable equal to or more than a certain value is extracted from the translation table, stored in the edit table, and displayed on the display device. Device support readable information translation machine according to claim 1, wherein performing modifications editing by the input device so as to completely coincide for the statement, to efficient. 3. The variable indicating the degree of similarity between the first national language sentence and the second national language original sentence is 100 when the first national language sentence and the second national language original sentence are exactly the same, and If the sentence in one national language and the original sentence in the second national language do not completely match, 0 is defined as
A machine readable information translation according to claim 1 or 2, wherein a variable value of 0 to 100 is given according to the similarity between the Japanese language sentence and the second Japanese language original sentence. apparatus. 4. The machine according to claim 1, wherein the translation table that is modified and edited in the editing table is stored as a new translation record in the translation table so that the translation table learns in preparation for the next translation work. A device that supports the translation of possible information and makes it more efficient. 5. The machine according to claim 1, wherein the input data newly input to the edit table is stored as a new translation record in the translation table so that the translation table learns in preparation for the next translation work. A device that supports the translation of readable information and improves efficiency. 6. An apparatus for assisting and improving the efficiency of machine-readable information translation according to claim 1, wherein a translation table is provided for each field to be translated. 7. An apparatus for assisting and improving the efficiency of translation of machine-readable information according to claim 1, wherein an editing assistance dictionary is provided for each field to be translated. 8. A method of a computer system for assisting and streamlining translation work when translating machine-readable information written in a first language into a second language, the method comprising: A step of creating a translation table including a sentence written in one national language and a corresponding translated sentence written in the second national language, and each sentence of the machine-readable information written in the first national language With a translation table, and using the corresponding translated sentence in the table as a translated sentence of the sentence when the sentence completely matches the original sentence in the table. How to help and streamline readable information. 9. Comparing each sentence of the machine-readable information with a translation table, and if the sentence is similar to the original sentence in the table, the corresponding translated sentence in the table is translated into the translated sentence of the sentence. 9. The method for supporting and improving the efficiency of translation of machine-readable information according to claim 8, further comprising the step of presenting to a user in descending order of similarity as candidates. 10. The machine-readable machine according to claim 9, further comprising a step of selecting a presented translation candidate by a user, making an appropriate correction as a translation of the sentence, and completing the translation. How to help translate information and make it more efficient. 11. The method of supporting and streamlining translation of machine-readable information as set forth in claim 10, further comprising the step of recording a completed translated sentence together with the sentence in a translation table by a user. 12. Comparing each sentence of the machine readable information with a translation table and using the sentence if the sentence is not found to be an exact match or a similar sentence to the original sentence in the table. 9. A method for assisting and streamlining the translation of machine readable information as recited in claim 8 including the step of human translation. 13. The method of claim 12, further comprising the step of recording a translated sentence translated by a user together with the sentence in a translation table. 14. The machine according to claim 8, 9, or 12, further comprising the step of recording the number of completely matched sentences, similar sentences, other sentences, and the number of words of each original sentence and each translated sentence. A method to support and streamline the translation of readable information. 15. A step of comparing a phrase included in each sentence of machine-readable information with a translation table and presenting this translation to a user when a translation corresponding to the phrase is found. A method for supporting and improving the efficiency of translating machine-readable information. 16. The method according to claim 15, further comprising a step of selecting a presented translation word by a user and utilizing the translation word for editing the translation of the sentence. How to make.