JPH09305605A - Document processing system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain the optimum translated result by providing a table, in which the relation of correspondence between tag information and translation conditions is described based on the character of the tag information, and selecting any translation conditions according to the specified contents of the tag information in the case of translating a document with tag. SOLUTION: When processing is started, a translation processing part 6 reads one sentence specified by a sentence parameter from a source sentence file 13. Next, while referring to the tag id part of a translation condition setting table 10, the tag id of an input sentence is collated with the tag id of the tag id part and it is invetigated whether the translation conditions in the translation condition setting table 10 are to be applied or not. Thus, when any translation conditions are set, translation is executed by applying these translation conditions and when any translation conditions are not set, translation is executed by applying the general-purpose translation conditions of default of a system. Then, a sentence number and the translated sentence provided by the translation are outputted to a translated sentence file 14.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document processing system, and more particularly to SGML (Standard Generalized Narkup).
Labguage), HTML (Hypertext Markup Language)
), Tex, etc., are suitable for application to a machine translation system that translates a tagged document to which tag information is added such that a format for displaying or printing a document is designated.

[0002]

2. Description of the Related Art In a tagged document, it is necessary to retain the tag information in the source language document also in the target language document, but in a general machine translation system, the source language document to which the tag information is added is translated. However, the tag information portion cannot be correctly handled by morphological analysis, syntactic analysis, etc., which deteriorates translation quality. As a conventional technique for solving such an inconvenience, there is one disclosed in the following document.

Literature, Naota Ishikawa and Masayuki Hiyama, "English-Japanese Machine Translation Support System for Tagged Documents", CALS Japan '9
4, S2-1] When translating a tagged document, the translation method described in this document separates the original sentence into a sentence part and a tag information part, and the sentence part is a sentence file, and the tag information and its tag information By storing the position information in the text in the tag information file, translating only the text file to generate a translated text file, and combining it with the tag information file, translation processing is performed without damaging the tag information. .

In this translation method, the fact that the tag information is described according to a certain pattern is used, pattern matching is performed on the document to be translated, and the non-translated portion (tag information portion) and the translated portion ( (Other than tag information) is determined.

[0005]

By the way, in the conventional machine translation system including the machine translation system for tagged documents described above, an appropriate dictionary such as a user dictionary or a specialized dictionary is selected according to the translation content. It has a function to specify and a sentence pattern and a translation rule to be applied. By using such a function, the translation quality according to the user's request can be obtained.

[0006] Here, what kind of dictionary to apply, what kind of sentence pattern and translation rule to apply are important for improving the translation quality. However, conventionally, such a selectable translation condition is specified by the user, or the dictionary is selected by selecting a keyword in advance and selecting it based on the result of the number of searches by the keyword search. However, it was not always sufficient in terms of operability, processing speed and application accuracy.

The problem regarding the selection of selectable processing conditions that can improve the quality of the processing result occurs not only in the machine translation system but also in other document processing systems.

Therefore, there is a demand for a document processing system capable of executing high-speed selection of selectable processing conditions capable of improving the quality of processing results without deteriorating the operability of the user.

[0009]

In order to solve such a problem, according to the first aspect of the present invention, in a document processing system for processing a document accompanied by format designation information for designating a format at the time of display and print output, (1) A processing condition setting storage unit that stores the type of format specification information and any processing condition that can be selected from a plurality of items in association with each other; (2) Included in the document to be processed Matching means for extracting the format designation information and matching it with the type of format designation information stored in the processing condition setting storage means, and (3) If there is a type of format designation information whose matching result matches, The processing condition stored in the processing condition setting storage means corresponding to the type of the format specification information is applied to execute the process for the sentence portion of the document to be processed, the format of which is specified by the format specification information. With processing means And wherein the Rukoto.

As a result, the optimum processing result can be obtained at high speed according to the contents of the format designation information.

According to the second aspect of the present invention, in a document processing system for processing a document accompanied by format designation information for designating a format at the time of display and print output, (1) type of format designation information and a plurality of types Processing conditions that store any one of the processing conditions that can be selected from among the processing conditions and application conditions that define when the processing condition is applied to one or more types of format specification information as group information The setting storage means and (2) the format specification information contained in the document to be processed is taken out, collated with the type of format specification information stored in the processing condition setting storage means, and the applicable conditions are satisfied. (3) If there is a type of format specification information that satisfies the determination result, it is stored in the processing condition setting storage means corresponding to the type of format specification information. Apply processing conditions and And having a processing means for executing processing for the text portion format the format specification information is specified in the document of interest.

As a result, the optimum processing result can be obtained at high speed according to the contents of the format designation information, and the flexible and accurate processing conditions can be designated.

[0013]

BEST MODE FOR CARRYING OUT THE INVENTION

(A) First Embodiment Hereinafter, a first embodiment in which a document processing system according to the present invention is applied to a machine translation system targeted for tagged documents will be described in detail with reference to the drawings.

The machine translation system of the first embodiment is made by paying attention to the following properties of tag information.

The tag information not only has the original function of defining the output format of the document in the range enclosed by the tag information (open tag and close tag), but also ancillary to defining the content within the range. It also has a function. For example, in HTML tags, <TITLE> and </ TI
The range surrounded by TLE> represents not only the character string range in which the display and printing for the title are executed, but also that the character string in the range is the title part of the document.

The information based on this auxiliary function is applicable to determining the style of a sentence and selecting a translated word, and is extremely useful information. That is, as described above, the machine translation system has a function of selecting an appropriate dictionary according to the translation content such as a user dictionary or a specialized dictionary, and a function of designating a sentence pattern and a translation rule to be applied. However, if such additional information included in the tag information is used for dictionary selection or the like, it is possible to eliminate the need for selection and designation by the user, and to easily and appropriately select the optimum selection target.

The machine translation system of the first embodiment is provided with a table describing the correspondence between tag information and translation conditions based on the properties of tag information as described above, and when translating a tagged document, It is intended to obtain an optimum translation result by selecting a translation condition such as a translation rule or a dictionary according to the content (auxiliary information) defined by the tag information.

(A-1) Configuration of the First Embodiment FIG. 1 is a block diagram showing the overall configuration of the machine translation system of the first embodiment. This machine translation system is actually configured on an information processing device such as a workstation.

In FIG. 1, the machine translation system is
It has an input / output device 1, a processing device 4, and a storage device (a concept including an auxiliary storage device) 8.

The input device 1 has a function of inputting text, displaying a translation result, and the like, and is composed of a keyboard, a mouse, a receiving device, a disk access device, and the like.
An input unit 2 that captures a source language tagged document (input file) or a user specification, and a target language tagged document (output file) that includes a display, a printer, a transmission device, a disk access device, and the like. It has an output unit 3 for displaying, printing, transmitting and outputting, and displaying a guidance message prompting the user to input.

The processing device 4 executes various processes for translating a tagged document, and corresponds to a CPU (central processing unit) or software executed by the CPU. Functionally, the processing device 4 removes the tag information portion and the original sentence division processing unit 5 that separates the input file (the original language tagged document) into the tag information portion and the other portion (the original sentence file). A translation processing unit 6 that translates the generated original text file into a target language according to a translation condition determined by referring to the storage content of a translation condition setting table 10 described later, and the original sentence division processing described above into the translated text file obtained by this translation. The merge processing unit 7 combines the tag information removed by the unit 5. Note that, in FIG. 1, various dictionary information and translation rules are described as if they are incorporated in the translation processing unit 6.

The storage device 8 has a function of storing the input text and the processing result of each stage. The storage device 8 includes an input file 9 which is a document with a source language to be translated and a translation condition setting table 1 which will be described in detail later.
0, tag information file 12 that stores the tag information of the tagged document and the position where the tag information appears in the document, original file 13 that saves the text part (other than the tag information part) in the tagged document, translation of the original text Translation file 14 for storing the result, and translation file 14 and tag information file 12
The output file 11 that is a document with a tag of the target language in which is combined is stored.

FIG. 2 shows a configuration example of the translation condition setting table 10. The translation condition setting table 10 includes types of tag information to which translation conditions are applied (hereinafter referred to as tag i
(hereinafter referred to as "d"), and a translation condition part 22 that describes a translation condition. The tag id indicates the type of tag information (start tag and end tag) that sandwiches a character string in the text of the input file 9. The translation condition corresponds to the translation rule and the type of dictionary.

For example, if the tag id is "author information", a translation of a person's dictionary is described as a translation condition, and if the tag id is "chapter", a translation rule is applied. It is also described as.

(A-2) Operation of First Embodiment Next, the operation of the machine translation system of the first embodiment having the above-mentioned configuration will be described with reference to the drawings.

FIG. 3 is a flow chart showing the processing steps of the machine translation system of the first embodiment.

Here, first, by exchanging data with the user via the input / output device 1, the translation condition setting table 10
The tag id and the translation condition to be applied are described (new registration or editing) (step s30). This step s30
The description processing of the translation condition setting table 10 according to step S31 may be executed as an independent processing routine separated from the processing after step s31. Any existing method may be applied to the process of setting the table information by the user and incorporating it by the system.

Further, input processing of a text (a document with a tag in the original language) is executed via the input unit 2 of the input / output device 1 and stored in the input file 9 (step s31).

Next, the original text division processing section 5 reads the input text from the input file 9 and divides it into a tag information part and other text parts, and a tag information file 12 stores the tag information and its tag information. The appearance position in the document is stored, and the text portion is stored in the original text file 13 (step s32). The original sentence segmentation process in step s32 is performed, for example, by the method described in the literature mentioned in the prior art. In the first embodiment, the tag information file 12 stores a sentence number indicating a position in a sentence and tag information, and the original sentence file 13 stores a tag id, a sentence number, and a sentence. Shall be done. When a plurality of tag information has a nested structure, a plurality of tag ids are given to the sentences within the range.

Original text file 1 obtained in step s32
3, the translation processing unit 6 uses the translation condition setting table 1
With reference to the description content of 0, the translation process is performed while applying the translation condition described in the table 10 or the general-purpose translation condition prepared as a default by the system (step s33). This translation process will be described later with reference to FIG. The translation file 14 stores the translation result obtained by the translation process.

After that, the merge processing unit 7 performs a merge process for generating a tagged translated sentence from the tag information file 12 and the translated sentence file 14 (step s34). this is,
This can be realized by inserting the sentence in the translated sentence file 14 corresponding to the sentence number into the sentence number position of the tag information file 12.

Finally, step s obtained by the merge processing unit 7
The processing result of 34 is output to the output file 11 (step s35). Such an output file 11 is output by the output unit 3
It is displayed or printed as appropriate.

Next, the step s executed by the translation processing unit 6
Details of the translation process 33 will be described. Here, FIG. 4 is a flowchart showing the details of this translation processing.

When the translation processing is started, the translation processing unit 6 first sets the sentence parameter i to the initial value 1 (step s41).

Thereafter, one sentence defined by the sentence parameter i is read from the original sentence file 13 (step s4
2). The information of one sentence read is a tag id, a sentence number, and a sentence. Next, referring to the tag id part 21 of the translation condition setting table 10, the tag id and tag id part 2 of the input sentence
The tag id of 1 is collated (step s43), and it is checked whether or not the matching tag id exists in the table 10, that is, whether or not the translation condition of the translation condition setting table 10 should be applied (step s44).

If the tag id of the input sentence matches any tag id of the tag id portion 21, the tag id portion 21
After setting the description content (translation condition) of the translation condition part 22 corresponding to the tag id in the item to be applied at the time of translation (step s45), the tag id of the input sentence is the tag id
If it does not match any tag id of the part 21, the translation process is performed without setting the translation condition (step s46). As a result, when the translation condition is set, the translation is applied and executed, and when the translation condition is not set, the system default general-purpose translation condition is applied and executed. It Then, the sentence number and the translated sentence obtained by the translation are stored in the translated file 1
4 (step s47).

Then, it is confirmed that the translation for the last sentence is not completed (step s48), the sentence parameter i is incremented by 1 (step s49), and the process returns to the one sentence reading process of step s42 described above. .

By repeating the processing of steps s42 to s49, when the translation of the last sentence is completed, the processing by the translation processing unit 6 is completed, and by the merge processing unit 7 of step s34 shown in FIG. Move to merge processing.

The operation of the machine translation system of the first embodiment will be described below by using a concrete example. The following description will be made assuming that the translation condition is the used dictionary condition and the optimum dictionary is selected and translated using the tag information. That is, an example in which a user dictionary, a technical term dictionary, or the like is selected and applied to a range (character string) sandwiched by specific tag information in a document will be described.

FIG. 5 shows an example of a tagged document used in the following description. In this example, the tag information includes a start tag and an end tag. The start tag consists of a right parenthesis "<", a tag id, and a left parenthesis ">", and an end tag is a slash "/" between the right parenthesis "<" and the same tag id as the start tag. It is the same as the start tag except that there is. The text (character string) sandwiched between the start tag and the end tag having the same tag id is the range in which the tag information operates.

In processing such a tagged document by the machine translation system, a flow of processing when it is desired to apply the personal name dictionary only to the author information part will be described.

In the translation condition setting table 10, "author information" is described as a tag id, and "the dictionary to be applied is a personal name dictionary" is described as a translation condition (step s30).
As a result, the translation condition setting table 10 shown in FIG. 6 is created.

Next, the input unit 2 is used to input the tagged document shown in FIG. 5 (step s31). As a result, the tagged document shown in FIG. 5 is stored in the input file 9.

The source text division processing unit 5 uses the input file 9
Is read, and original sentence division processing is performed (step s3
2). As a result, the contents of the obtained tag information file 12 are as shown in FIG. 7, and the contents of the original text file 13 are as shown in FIG.

Next, the translation processing unit 6 causes the original text file 13
A translation process is performed on each sentence stored in (step s33).

First, the first sentence (s01) is read (step s42), and the tag id of the input sentence and the tag id of the translation condition setting table 10 are matched (step s43). The tag id “header” and “title” in the first sentence are both translation condition setting table 10.
It is judged that there is no translation condition because it is not described in the tag id part 21 of the
General-purpose translation processing (using a general dictionary) is performed according to default translation conditions (steps s44, s4).
6). After that, the sentence number (s01) and the translation result (translated sentence) “Translation of
“Tagged documents” is output to the translated text file 14 (step s47).

Next, the second sentence (s02) is read (step s42), and the tag id of the input sentence and the tag id of the translation condition setting table 10 are matched (step s43). At this time, the "author information" matches (step s44), the translation condition "personal name dictionary applied" of "author information" is set (step s45), and the translation process using the personal name dictionary for the sentence "Taro Yamada" is performed. Is performed (step s46). After that, the sentence number (s02) and the translation result “Taro Yamada” applied with the personal name dictionary
Is output to the translated text file 14 (step s47).

Similar translation processing for each sentence (step s42
~ S47) is repeated until the last sentence. In the case of this example, the contents of the translated text file 14 when the translation process is completed are as shown in FIG.

After that, the merge processing unit 7 merges the tag information file 12 shown in FIG. 7 and the translated text file 14 shown in FIG. 9 to generate a tagged translation (step s34), and finally, the merge. The tagged translation obtained by the processing unit 7 is output to the output file 11 (step s35).
The output file 11 at this time is as shown in FIG.

(A-3) Effects of the First Embodiment According to the first embodiment, the supplementary information obtained from the tag information is positively used to make a translation such as an applicable dictionary or an applicable translation rule. Since the translation process is performed by dynamically changing the conditions, it is possible to obtain the optimum translation result according to the content of the tag information.

Here, once, the translation condition setting table 10
The contents described in 1. can be applied when translating other tagged documents, and the user's input operation for optimally selecting such a translation condition can be simplified.

Further, since the confirmation process of which translation condition is applied is based on the comparison between the tag id of the translation condition setting table 10 and the tag id of the tag information file 12,
The processing can be executed at high speed.

(B) Second Embodiment Next, a second embodiment in which the document processing system according to the present invention is applied to a machine translation system will be described in detail with reference to the drawings.

The machine translation system of the second embodiment also has a table in which the correspondence between the tag information and the translation conditions is described based on the property of the tag information. When translating a tagged document, the tag information is defined. By selecting a translation condition such as a translation rule or a dictionary according to the content to be performed, an optimum translation result is obtained.

In addition to this, in the machine translation system of the second embodiment, when the same translation condition is designated by a plurality of tag information, it is described in a table as one data,
It is possible to describe a translation condition established by a combination of a plurality of tag information in a table so that more flexible and accurate translation condition can be specified.

(B-1) Configuration of the Second Embodiment The machine translation system of the second embodiment can also be represented by FIG. 1 described above when the overall configuration is represented by a block diagram.

However, the internal structure of the translation condition setting table 10 is different from that of the first embodiment, and as a result,
The translation processing of the translation processing unit 6 is also different.

The translation processing of the translation processing unit 6 will be clarified in the operation description given later, and the configuration of the translation condition setting table 10 of the second embodiment will be described below. Here, FIG. 11 is an explanatory diagram illustrating a configuration example of the translation condition setting table 10 according to the second embodiment.

The translation condition setting table 10 is composed of a tag id part 111 that describes the type of tag information, an application condition part 112 that describes the application condition, and a translation condition part 113 that describes the translation condition.

In the tag id section 111, one or a plurality of tag ids indicating the type of tag information in which a sentence is sandwiched are described.

The application condition section 112 defines the state of the tag information when applying the translation condition. For example, when it is desired to apply the translation condition C only when the tag information A and the tag information B are satisfied at the same time, the tag information A and the tag information B are written together in the tag id portion 111 and “and” is written in the application condition portion 112. Is described (see FIG. 13). Further, when it is desired to apply the translation condition C when either the tag information A or the tag information B is satisfied, the tag information A and the tag information B are written together in the tag id part 111, and the application condition part 112 indicates “ o
r ”(see FIG. 13). The tag id part 11
When one tag information is described in 1, no application condition is described in the application condition part 112.

The translation condition section 113 describes translation conditions that specify a translation rule, a dictionary type, and the like that are given priority when translating.

(B-2) Operation of Second Embodiment Next, the operation of the machine translation system of the second embodiment will be described with reference to the drawings.

The entire processing of the machine translation system of the second embodiment is similar to that of the flowchart of FIG. 3 according to the first embodiment. However, as described above, since the description content of the translation condition setting table 10 is different, the details of the translation process and the like are different from those in the first embodiment.

Hereinafter, referring to FIG. 3 described above, the second
The overall processing of the machine translation system of the embodiment will be described.

First, by exchanging data with the user via the input / output device 1, the tag id is added to the translation condition setting table 10.
And apply conditions and translation conditions are described (new registration or editing) (step s30).

Next, as in the first embodiment, input processing and original sentence division processing are performed (steps s31 and s3).
2), the tag information file 12 and the original text file 13 are created. Also in the second embodiment, the tag information file 12 stores the sentence number indicating the position of the sentence and the tag information, and the original sentence file 13 stores the tag id, the sentence number, and the sentence.

After that, the translation processing unit 6 performs step s32.
A translation process is performed on the original text file 13 obtained in step S33. The details of the translation process in the second embodiment are shown in FIG. 12 and will be described later.

Next, as in the first embodiment, the merge processing unit 7 performs a merge process for generating a tagged translated sentence from the tag information file 12 and the translated sentence file 14 (step s34). This is realized by inserting the sentence in the translated sentence file 14 corresponding to the sentence number into the sentence number position of the tag information file 12.

Finally, the result of step s34 is output to the output file 11 (step S35).

Next, details of the translation processing of step s33 executed by the translation processing unit 6 of the second embodiment will be described. Here, FIG. 12 is a flowchart showing details of the translation process in the second embodiment.

When the translation processing is started, the translation processing unit 6 first sets the sentence parameter i to the initial value 1 (step s131).

Thereafter, one sentence defined by the sentence parameter i is read from the original sentence file 13 (step s13).
2). The information of one sentence read is the tag id, sentence number,
It is a sentence. Next, the tag i of the translation condition setting table 10
By referring to the d section 111 and the application condition section 112, it is checked whether or not the tag id and the application condition of the translation condition setting table match the input sentence, that is, whether or not the translation condition of the translation condition setting table 10 should be applied ( Step s133,
S134).

When there is a match, the corresponding translation condition part 1
After setting the description contents (translation conditions) of 13 as those to be applied at the time of translation (step s135), if there is no match, the translation process is performed without specifying the conditions (hence general-purpose translation conditions are applied). Perform (step s136).
Then, the sentence number and the translated sentence are output to the translated sentence file 14 (step s137).

Then, it is confirmed that the translation for the last sentence is not completed (step s138), and the sentence parameter i is incremented by 1 (step s13).
9), and returns to the processing for reading one sentence in step s132 described above.

By repeating the processing of steps s132 to s139, when the translation of the last sentence is completed, the processing by the translation processing unit 6 is completed and the merge processing unit 7 of step s34 shown in FIG. 3 is executed. Move to merge processing.

The operation of the machine translation system of the second embodiment will be described below using a concrete example. The following description will be made assuming that the translation condition is the usage condition of the translation rule and the optimum translation rule is selected and translated using the tag information. That is, an example in which a translation rule is selected and applied to a range (character string) sandwiched by specific tag information in a document will be described.

Here, in processing the tagged document as shown in FIG. 5 with the machine translation system of the second embodiment, "title sentence translation" is added to the title portion in the header, the chapter title and the small item portion. The flow of processing when applying "rules" to perform translation will be described.

Note that item sentences such as titles are different from ordinary sentences that are separated by a punctuation mark because nouns are contiguous or stupid, and such item sentences are translated in consideration. There are many machine translation systems in which rules are prepared in the translation processing unit 6 in addition to general-purpose translation rules.

The tag id, the application condition, and the translation rule to be applied are described in the translation condition setting table 10 (step s3).
0). As described above, in the application condition part 112, when all of the plurality of tag ids must be satisfied, “an
In “d”, a case where any one of the plurality of tag ids is satisfied is described as “or”.

The title part in the header is a part between the "header" and the "title" tag, that is, 2
Since the tag information is established at the same time, the tag i
The "header" and the "title" are described together in the d section 111, and "and" is described in the application condition section 112. Further, since the chapter title and the small item portion indicate a portion sandwiched between “chapter title” or “small item” tags, the tag id portion 111
"Chapter title" and "Small item" are written together in the application condition section 11
2 describes "or". In the translation condition unit 113, it is described as "applying the item sentence translation rule". The contents stored in the translation condition setting table 10 in this case are as shown in FIG.
As shown in FIG.

Next, document input processing and original sentence division processing are sequentially performed (steps s31 and s32). As described above, since these processes are the same as those in the first embodiment, the tag information obtained by inputting the tagged document shown in FIG. 5 and executing the original sentence dividing process on the input file 9 is performed. The contents of the file 12 are as shown in FIG. 7, and the contents of the original sentence file 13 are as shown in FIG.

Next, a translation process is performed on each sentence stored in the original sentence file 13 (step s132).

First, the first sentence (s01) is read (s132), and its tag id is matched with the tag id and the application condition of the translation condition setting table 10 (step s133). Tag id “header” of the first sentence
And "Title" are the first in the translation condition setting table 10.
In order to match the data 131 of the set (step s13
4) Instead of the general-purpose translation rule, the "item sentence translation rule" described in the translation condition is applied and the translation process for the sentence "translation of tagged document" is performed (steps s135, s136). After that, the sentence number (s01)
And the translation result (translated sentence) that applies the "item sentence translation rule"
"Translation of tagged doc
"Documents" is output to the translated text file 14 (step s137).

Next, the second sentence (s02) is read (step s132), and the tag id relating to the sentence is matched with the tag id and the application condition of the translation condition setting table 10 (step s133). Tag id of the sentence
There is no match in the “header” and “author information” in the translation condition setting table 10 (step s13).
4), the translation process applying the general-purpose translation rule is executed (step s136), and the sentence number (s02) and the translation result “Taro Yamada” applying the general-purpose translation rule.
Is output to the translation file 14 (step s13
7).

Similarly, the third and fifth sentences are also translated by applying general-purpose translation rules. The tag id “chapter title” in the fourth sentence and the tag id “small item” in the sixth to eighth sentences match the second set of data 132 in the translation condition setting table 10, respectively. The translation process to which the “item sentence translation rule” is applied is performed.

Similar translation processing for each sentence (step s13
2 to s137) are repeated until the last sentence. In the case of this example, it is assumed that the contents of the translated text file 14 when the translation process is completed are as shown in FIG. 9 as in the first embodiment.

After that, the merge processing unit 7 merges the tag information file 12 shown in FIG. 7 with the translated text file 14 shown in FIG. 9 to generate a tagged translation (step s34), and finally, the merge. The tagged translation obtained by the processing unit 7 is output to the output file 11 (step s35).
The output file 11 at this time is as shown in FIG.

(B-3) Effects of the Second Embodiment Also according to the second embodiment, the additional information obtained from the tag information is positively used to make a translation condition such as an applicable dictionary or an applicable translation rule. Since the translation processing is performed by dynamically changing, the optimal translation result can be obtained according to the content of the tag information. Further, the contents once described in the translation condition setting table 10 can be applied even when translating other tagged documents, and the user's input operation for optimally selecting such a translation condition can be simplified. it can. Furthermore, the confirmation process of which translation condition is applied is
The tag id and the application condition of the translation condition setting table 10,
Since the collation is performed with the tag id of the tag information file 12 (the tag id of the sentence), the number of collations can be suppressed smaller than the keyword collation, and the processing can be executed at high speed.

In addition to the effects similar to those of the first embodiment as described above, according to the second embodiment, since the applicable conditions are described in the translation condition setting table 10, a plurality of tag information can be used. When the same translation condition is specified, it can be described in the table as one piece of data, and the translation condition that is satisfied by the combination of multiple tag information can be described in the table, and more flexible and accurate translation condition can be specified. It also has the effect of being able to do it.

(C) Other Embodiments In the above embodiment, the translation condition is the applicable dictionary or the applicable translation rule, but other translation conditions may be used. For example, it may indicate that the execution of translation is prohibited. Also, for example, a tag i called "title"
A more specific translation condition may be set for d such that only the uppercase letters in the title are extracted and translated. Furthermore, processing conditions other than translation conditions may be described. For example, it is also possible to describe in the translation condition such that the target sentence is erased, and the sentence is erased from the translation result to obtain a summarized translation result. That is, the present invention, according to the content of the tag information,
It is characterized by setting one of the processing conditions having a plurality of options, and it is not limited to the translation condition.

In the above embodiment, the translation condition in the set of data in the translation condition setting table 10 is 1
Although a single item is shown, a plurality of translation conditions (for example, applicable dictionary and applicable translation rule) may be described in one set of data.

Further, in the above embodiment, the same translation condition is set for the source language and the target language, but the translation condition may be set for each language.
Further, in the case of a bidirectional machine translation system, different translation condition setting table 1 may be used depending on which is the source language.
You may make it apply 0.

Furthermore, in the description of the above embodiment, the so-called in-line tag representing the font modification or the like for the character string portion in the sentence is not used for the selection of the applicable translation conditions, but the in-line tag is also applied. The predetermined data may be described in the translation condition setting table 10.

Further, in the above-described embodiment, the translation condition setting table 10 that can be registered and edited by the user is shown. However, the system may be fixedly provided, and user translation is possible. The system may be fixed.

Further, although the machine translation system for a tagged document is shown in the above embodiment, the tag in the tagged document is different even if the tag information is a text data string similar to the sentence part. The technical idea of the present invention can be applied to any machine translation of a document accompanied by information defining an output format that performs the same function as information.

Furthermore, in the above embodiment, the present invention is applied to a machine translation system, but the present invention can be applied to other document processing systems.
Some document processing systems (natural language processing systems)
Many of them perform the same analysis processing as the machine translation system without performing the conversion into the target language, and it goes without saying that the present invention can be applied to such a document processing system.

In the second embodiment, the applicable conditions are "and" and "or", but "not", "nor" and "nand" may be used.
Furthermore, when the three tag ids described in the tag id part are A, B, and C, a logical combination such as “(AandB) orC” may be used.

[0099]

As described above, according to the present invention, (1) the processing condition setting in which the type of format designation information and one of the processing conditions selectable from a plurality are associated and stored. Storage means, and (2) collation means for extracting the format designation information contained in the document to be processed and collating it with the type of format designation information stored in the processing condition setting storage means, and (3) collation If there is a type of format specification information with matching results,
The processing condition stored in the processing condition setting storage means corresponding to the type of the format specification information is applied, and the processing is performed on the text portion of which the format is specified by the format specification information in the document to be processed. Since it has a processing means for performing the processing, it is possible to dynamically change the processing condition by using the information obtained from the format designation information and perform the processing at an optimum speed according to the content of the format designation information. Can be obtained.

In the second aspect of the present invention, (1) the type of format designation information, any processing condition that can be selected from a plurality of types, and what type of one or more format designation information is A processing condition setting storage unit that stores, as set information, an application condition that defines whether to apply the processing condition,
(2) Matching by extracting the format specification information included in the document to be processed and matching it with the type of format specification information stored in the processing condition setting storage means and determining whether the applicable condition is satisfied And (3) if there is a type of format specification information satisfying the determination result, the processing condition stored in the processing condition setting storage means corresponding to the type of format specification information is applied. And processing means for executing a process on a text part of which the format is specified by the format specification information in the document to be processed, the information obtained from the format specification information is used to dynamically change the processing condition. It is possible to change the processing, to obtain an optimum processing result at high speed according to the content of the format designation information, and to specify the processing condition flexibly and accurately.

[Brief description of drawings]

FIG. 1 is a block diagram illustrating an overall configuration of a first embodiment.

FIG. 2 is an explanatory diagram showing a configuration of a translation condition setting table according to the first embodiment.

FIG. 3 is a flowchart showing an overall process of the first embodiment.

FIG. 4 is a flowchart showing a translation process of the first embodiment.

FIG. 5 is a drawing showing a document used for explaining a specific operation of the first exemplary embodiment.

FIG. 6 is an explanatory diagram showing an example of setting contents of a translation condition setting table according to the first embodiment.

FIG. 7 is an explanatory diagram showing an example of a tag information file (corresponding to FIG. 5) of the first embodiment.

FIG. 8 is an explanatory diagram showing an example of an original text file (corresponding to FIG. 5) of the first embodiment.

FIG. 9 is an explanatory diagram illustrating a translated text file example (corresponding to FIG. 5) of the first embodiment.

FIG. 10 is an explanatory diagram showing an output file example (corresponding to FIG. 5) of the first embodiment.

FIG. 11 is an explanatory diagram showing a configuration of a translation condition setting table according to the second embodiment.

FIG. 12 is a flowchart showing a translation process of the second embodiment.

FIG. 13 is an explanatory diagram showing an example of setting contents of a translation condition setting table according to the second embodiment.

[Explanation of symbols]

1 ... I / O device, 2 ... Input unit, 3 ... Output unit, 4 ... Processing device, 5 ... Original sentence division processing unit, 6 ... Translation processing unit, 7 ... Merge processing unit, 8 ... Storage device, 9 ... Input file, 10 ... Translation condition setting table, 11 ... Output file, 12 ... Tag information file, 13 ... Original text file, 14 ... Translated file, 21, 111 ... Tag id part, 22, 113 ... Translation condition part, 112 ... Application condition part.

Claims (4)

[Claims] 1. In a document processing system for processing a document accompanied by format designation information for designating a format at the time of display or print output, the type of format designation information and any processing condition selectable from a plurality of types. And the processing condition setting storage means that stores the information and the format specification information included in the document to be processed, and collates with the type of the format specification information stored in the processing condition setting storage means. If there is a type of format specification information whose matching result matches, the processing condition stored in the processing condition setting storage means corresponding to the type of format specification information is applied. And a processing unit that executes a process for a text portion of which the format is specified by the format specification information in the document to be processed. 2. In a document processing system for processing a document accompanied by format specification information for specifying a format at the time of display or print output, the type of format specification information and any processing condition selectable from a plurality of types. And processing condition setting storage means that stores, as group information, application conditions that define when one or more types of format specification information the above processing conditions are applied, and a processing target document The included format designation information is extracted and collated with the type of format designation information stored in the processing condition setting storage means, and the collation means for determining whether the applicable condition is satisfied, and the determination result are If there is a type of the format specification information that is satisfied, the processing condition stored in the processing condition setting storage means corresponding to the type of the format specification information is applied, and A document processing system, comprising: a processing unit that executes a process for a text portion whose format is designated by the format designation information. 3. The document processing system according to claim 1, wherein the document is a tagged document including tag information that defines a format at the time of display and printout. 4. The processing means is a translation means for translating a source language document into a target language document, and the processing condition stored in the processing condition setting storage means applies to and / or applies to the type of dictionary to be applied. A translation condition that defines the translation rule and / or the presence or absence of translation execution.
The document processing system according to any one of 3 above.