JP3302260B2 - Document processing system - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] 1. Field of the Invention [0002] The present invention relates to a document processing system, and more particularly to an SGML (Standard Generalized Markup).
Language ), HTML (Hypertext Markup Language)
This is suitable for application to a machine translation system that translates a tagged document, such as Tex, to which tag information specifying a format for displaying or printing a document is added.

[0002]

2. Description of the Related Art A tagged document needs to retain tag information in a source language document as well as a target language document, but a general machine translation system translates a source language document to which tag information is added. In other words, the tag information cannot be correctly handled by morphological analysis or syntax analysis, and the translation quality is degraded. Conventional techniques for solving such inconveniences are disclosed in the following documents.

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

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

[0005]

By the way, conventional machine translation systems, including the above-mentioned machine translation system for tagged documents, select an appropriate dictionary such as a user dictionary or a specialized dictionary according to the contents of translation. And a function to specify a sentence pattern and a translation rule to be applied. By using such a function, translation quality according to a user's request can be obtained.

[0006] Here, what dictionary is applied, what sentence pattern and translation rule are applied are important in improving the translation quality. However, conventionally, such a selectable translation condition is specified by, for example, a user, and for dictionary selection, a keyword is determined in advance and selected based on the result of the number of searches by the keyword search. Therefore, operability, processing speed and application accuracy are not always sufficient.

[0007] Such a problem relating to selection of selectable processing conditions that can enhance 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 a high-speed selection of selectable processing conditions that can enhance the quality of a processing result without deteriorating user operability.

[0009]

According to a first aspect of the present invention, there is provided a document processing system for processing a document with format designation information for designating a format at the time of display and print output. (1) Format information contained in the format specification information
Any one of multiple processes based on the information
Processing condition setting storage means for selecting a condition and storing the format specification information and the selected processing condition in association with each other;
(2) a matching unit that extracts the format specification information included in the document to be processed and matches it with the type of the format specification information stored in the processing condition setting storage unit; and (3) that the matching result matches If there is a type of the format specification information, the processing conditions stored in the processing condition setting storage unit corresponding to the type of the format specification information are applied, and the format is specified by the format specification information in the document to be processed. And processing means for executing a process on a sentence portion for which a specified is designated.

Thus, an optimum processing result can be obtained at high speed in accordance with the contents of the format designation information.

[0011] In the second invention, the display, the document processing system format specification information that specifies the format of the time of printing output processing the accompanying document, (1) format specification information
Can be selected from multiple types based on format information
Select one of the processing conditions and type of the format specification information
Processing condition setting storage means for storing, as group information , a selected processing condition and an application condition defining when the type of one or more types of format specification information is to be applied to the processing condition; (2) extracting the format specification information contained in the document to be processed, collating it with the type of format specification information stored in the processing condition setting storage means, and determining whether the applicable conditions are satisfied; If there is a matching means and (3) the type of format specification information satisfying the determination result,
By applying the processing conditions stored in the processing condition setting storage means corresponding to the type of the format specification information, the processing for the text portion of the document to be processed whose format is specified by the format specification information is performed. And a processing means for executing.

Thus, an optimum processing result can be obtained at high speed in accordance with the contents of the format specification information, and the processing conditions can be specified flexibly and accurately.

[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 for tagged documents will be described in detail with reference to the drawings.

The machine translation system according to the first embodiment focuses on the following properties of tag information.

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

The information by the additional function is applicable to determining the style of a sentence, selecting a translated word, and the like, and is extremely useful information. That is, as described above, the machine translation system has a function of selecting an appropriate dictionary such as a user dictionary or a specialized dictionary according to the contents of translation, and a function of specifying a sentence pattern and a translation rule to be applied. However, if the additional information included in such tag information is used for dictionary selection or the like, selection designation by the user is not required, and the most suitable selection target can be easily and appropriately selected.

The machine translation system according to the first embodiment has a table describing the correspondence between tag information and translation conditions based on the above-described properties of tag information. By selecting translation conditions such as translation rules and dictionaries in accordance with the contents (extra information) specified by the tag information, an optimal translation result is to be obtained.

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

Referring to FIG. 1, this machine translation system includes:
It has an input / output device 1, a processing device 4, and a storage device (concept including an auxiliary storage device) 8.

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

The processing device 4 executes various processes for translating a tagged document, and includes a CPU (Central Processing Unit) and software executed by the CPU. The processing device 4 functionally separates an input file (document with a tag in the original language) into a tag information part and a part other than the tag information part (an original text file), and removes the tag information part. The translation processing unit 6 translates the source file thus obtained into a target language in accordance with translation conditions determined with reference to the contents stored in a translation condition setting table 10 described later. And a merge processing unit 7 for synthesizing the tag information removed by the unit 5. In FIG. 1, various dictionary information and translation rules are described as if the translation processing unit 6 were built therein.

The storage device 8 has a function of storing the input text and the processing results of each stage. The storage device 8 includes an input file 9 which is a tagged document of the source language to be translated, and a translation condition setting table 1 described in detail later.
0, a tag information file 12 for storing the tag information of the tagged document and the appearance position of the tag information in the document, an original text file 13 for storing the text portion (other than the tag information portion) in the tagged document, and a translation of the original text Translation file 14 for storing results, translation file 14 and tag information file 12
An output file 11, which is a document with a tag in the target language obtained by synthesizing the above, is stored.

FIG. 2 shows a configuration example of the translation condition setting table 10. The translation condition setting table 10 stores the type of tag information (hereinafter, tag i) to which the translation condition is applied.
d) and a translation condition unit 22 that describes translation conditions. The tag id indicates the type of tag information (start tag and end tag) sandwiching 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", the application of a personal dictionary is described as a translation condition, and if the tag id is "chapter", the application of the item translation rule is performed under the translation condition. Or described as.

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

FIG. 3 is a flowchart showing the processing steps of the machine translation system according to 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 (newly registered or edited) (step s30). This step s30
May be executed as an independent processing routine separated from the processing after step s31. It should be noted that the user sets the table information and the system takes in the table information by applying any existing method.

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

Next, the input text is read from the input file 9 by the original sentence division processing unit 5, divided into a tag information part and other text parts, and the tag information and the tag information of the tag information are stored in the tag information file 12. The appearance position in the document is stored, and the sentence part is stored in the original sentence file 13 (step s32). The original sentence division processing in step s32 is performed by, for example, a method described in the literature described in the related 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 performed. When a plurality of pieces of tag information have a nested structure, a plurality of tags id are given to sentences in the range.

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

Thereafter, the merge processing unit 7 performs a merge process for generating a tagged translation from the tag information file 12 and the translation file 14 (step s34). this is,
This can be realized by inserting a 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 step S34 is output to the output file 11 (step s35). Such an output file 11 is stored in the output unit 3
Is displayed or printed as appropriate.

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

When the translation processing unit 6 starts the translation processing, first, it sets a sentence parameter i to an initial value 1 (step s41).

Thereafter, one sentence specified by the sentence parameter i is read from the original sentence file 13 (step s4).
2). The information of one sentence to be 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 of the input sentence and the tag id part 2
The tag ID is compared with the first tag id (step s43), and it is checked whether a matching tag id exists in the table 10, that is, whether 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 one of the tag ids in the tag id section 21, the tag id section 21
After setting the description content (translation condition) of the translation condition unit 22 corresponding to the tag id in the translation statement to be applied at the time of translation (step s45), the tag id of the input sentence is changed to the tag id.
If the tag does not match any of the tag ids of the unit 21, the translation process is performed without setting the translation condition (step s46). As a result, if the translation condition is set, the translation is executed by applying the translation condition. If the translation condition is not set, the translation is executed by applying the system default general-purpose translation condition. You. Then, the sentence number and the translation obtained by the translation are stored in a translation file 1
4 (step s47).

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

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

The operation of the machine translation system according to the first embodiment will be described below using a specific example. The following description is made on the assumption that the translation condition is the dictionary condition to be used, and the optimal 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 between specific tag information in a document will be described.

FIG. 5 is 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 is composed of a right parenthesis “<”, a tag id, and a left parenthesis “>”. The 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. A text (character string) sandwiched between a start tag and an end tag having the same tag id is a range where the tag information operates.

In processing such a tagged document by the machine translation system, a description will be given of the flow of processing in a case where it is desired to apply a personal name dictionary only to the author information portion.

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

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

The original sentence division processing unit 5 sends the input file 9
Is read and an original sentence division process 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 file 13 are as shown in FIG.

Next, the translation processing unit 6 executes the
Is translated (step s33).

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

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

Similar translation processing for each sentence (step s42)
To s47) are repeated until the last sentence. In the case of this example, the contents of the translation file 14 when the translation process is completed are as shown in FIG.

Thereafter, the merge processing section 7 performs a merge process between the tag information file 12 shown in FIG. 7 and the translated sentence file 14 shown in FIG. 9 to generate a tagged translated sentence (step s34). 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, a translation such as an applied dictionary or an applied translation rule is actively used by making use of incidental information obtained from tag information. Since the translation process is performed by dynamically changing the conditions, an optimal translation result can be obtained according to the content of the tag information.

Here, once, the translation condition setting table 10
Can be applied to the translation of other tagged documents, and the user's input operation for optimally selecting such translation conditions can be simplified.

Since the process of confirming which translation condition is to be 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,
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 according to the second embodiment also has a table describing the correspondence between tag information and translation conditions based on the nature of tag information. By selecting a translation rule such as a translation rule or a dictionary according to the contents to be translated, an optimal translation result is to be obtained.

In addition to this, the machine translation system according to the second embodiment describes in a table as one data when the same translation condition is designated by a plurality of tag information,
A translation condition that is established by a combination of a plurality of tag information can be described in a table, so that a 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 the above-described FIG. 1 when the overall configuration is represented by a block diagram.

However, the internal configuration of the translation condition setting table 10 is different from that of the first embodiment.
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 to be described later, and the configuration of the translation condition setting table 10 according to 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 includes a tag id section 111 for describing the type of tag information, an application condition section 112 for describing an application condition, and a translation condition section 113 for describing a translation condition.

The tag id section 111 describes one or a plurality of tag ids indicating the type of tag information in which a sentence is sandwiched.

The application condition section 112 defines the state of the tag information when the translation condition is applied. For example, when it is desired to apply the translation condition C only when the tag information A and the tag information B are simultaneously established, the tag information A and the tag information B are described in the tag id section 111, and “and” is written in the application condition section 112. (See FIG. 13). If the translation condition C is to be applied when either of the tag information A and the tag information B is satisfied, the tag information A and the tag information B are written together in the tag id section 111 and “ o
r ”(see FIG. 13). Note that the tag id unit 11
When one piece of tag information is described in one, no applicable conditions are described in the applicable condition part 112.

The translation condition unit 113 describes a translation rule which specifies a translation rule or a dictionary type which is prioritized in translation.

(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 overall processing of the machine translation system according to the second embodiment is the same as the flowchart in FIG. 3 according to the first embodiment. However, as described above, the details of the translation process and the like are different from those of the first embodiment because the description contents of the translation condition setting table 10 are different.

Hereinafter, with reference to FIG.
The overall processing of the machine translation system according to the embodiment will be described.

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

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

Thereafter, the translation processing section 6 executes step s32
Is translated (step S33). The details of the translation processing in the second embodiment are shown in FIG. 12 and will be described later.

Next, similarly to the first embodiment, the merge processing unit 7 performs a merge process for generating a tagged translation from the tag information file 12 and the translation file 14 (step s34). This is realized by inserting a 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, the details of the translation processing in step s33 executed by the translation processing section 6 of the second embodiment will be described. Here, FIG. 12 is a flowchart showing details of the translation processing in the second embodiment.

When the translation processing section 6 starts the translation processing, first, it sets a sentence parameter i to an initial value 1 (step s131).

Thereafter, one sentence specified by the sentence parameter i is read from the original sentence file 13 (step s13).
2). Information of one sentence to be read includes tag id, sentence number,
It is a sentence. Next, tag i of translation condition setting table 10
Referring to the d unit 111 and the application condition unit 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 the translation condition of the translation condition setting table 10 is to be applied ( Step s133,
S134).

If a match is found, the corresponding translation condition part 1
After setting the description contents (translation conditions) of No. 13 as those to be applied at the time of translation (step s135), if they do not match, the translation process is performed without specifying the conditions (accordingly, general-purpose translation conditions are applied). (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 has not been completed (step s138), and the sentence parameter i is incremented by 1 (step s13).
9), the process returns to the one sentence reading process in step s132 described above.

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

Hereinafter, the operation of the machine translation system according to the second embodiment will be described using a specific example. The following description is made on the assumption that the translation condition is a use condition of the translation rule, and an optimal 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 between specific tag information in a document will be described.

Here, when processing the tagged document as shown in FIG. 5 described above by the machine translation system of the second embodiment, the title part in the header, the chapter title and the small item part are described as “item sentence translation”. A description will be given of the flow of processing when it is desired to perform translation by applying the “rule”.

Note that item sentences such as titles are different from general sentences delimited by reading marks because nouns are continuous or have no meaning, and item sentences are translated in consideration of such titles and the like. 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 translation condition setting table 10 describes the tag id, the application condition, and the translation rule to be applied (step s3).
0). As described above, in the application condition unit 112, the case where all of the plurality of tag ids must be satisfied is defined as “an
In “d”, the case where any one of the plurality of tag ids should be satisfied is described as “or”.

The title portion in the header is a portion sandwiched between the “header” and “title” tags, ie, 2
Since two pieces of tag information are simultaneously established, the tag i
In the d part 111, “header” and “title” are described together, and in the application condition part 112, “and” is described. Also, since the chapter title and the small item part indicate the part sandwiched between the “chapter title” and “small item” tags, the tag id part 111
, "Chapter title" and "small item" are described together.
2 describes “or”. In each of the translation condition sections 113, "Apply the item sentence translation rule" is described. 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, these processes are the same as those in the first embodiment. Therefore, tag information shown in FIG. 5 is obtained by inputting the tagged document shown in FIG. The contents of the file 12 are as shown in FIG. 7 described above, and the contents of the original text 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 application conditions 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 set of data 131 (step s13
4) Instead of the general-purpose translation rule, the "item translation rule" described in the translation condition is applied, and the translation of the sentence "translation of tagged document" is performed (steps s135 and s136). After that, the sentence number (s01)
And the translation result (translation) that applied the "item sentence translation rule"
"Translation of taggeddoc
ｕｍuents ”are output to the translation file 14 (step s137).

Next, the second sentence (s02) is read (step s132), and the tag id of 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
Since 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), 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).

The third sentence and the fifth sentence are similarly subjected to a translation process applying a general-purpose translation rule. The tag id “chapter” in the fourth sentence matches the tag id “sub-item” in the sixth to eighth sentences, respectively, with the second set of data 132 in the translation condition setting table 10. A translation process to which the "item sentence translation rule" is applied is performed.

A similar translation process 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 sentence file 14 at the time when the translation process is completed are as shown in FIG. 9 as in the first embodiment.

Thereafter, the merge processing unit 7 performs a merge process between the tag information file 12 shown in FIG. 7 and the translated sentence file 14 shown in FIG. 9 to generate a tagged translated sentence (step s34). 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 in the second embodiment, the translation conditions such as the applied dictionary and the applied translation rule are actively used by utilizing the additional information obtained from the tag information. Is dynamically changed so that an optimal translation result can be obtained according to the content of the tag information. Further, the content once described in the translation condition setting table 10 can be applied to the translation of another tagged document, and the user's input operation for optimally selecting such a translation condition can be simplified. it can. In addition, the process of confirming which translation conditions to apply,
Tag id and application condition of translation condition setting table 10,
Since the collation with the tag id (tag id of the sentence) of the tag information file 12 is performed, the number of collations can be kept small as compared with the keyword collation or the like, and the processing can be executed at high speed.

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

(C) Other Embodiments In the above-described embodiment, the translation conditions indicate the applicable dictionary and the applicable translation rule. However, other translation conditions may be used. For example, it may indicate that the execution of translation is prohibited. Also, for example, a tag i “title”
For d, more specific translation conditions may be set such that only the uppercase part in the title is extracted and translated. Further, processing conditions other than the translation conditions may be described. For example, a description may be made in the translation condition so as to cause the target sentence to disappear, and the sentence may be eliminated from the translation result to obtain a summarized translation result. That is, according to the present invention, according to the content of the tag information,
The feature is that any one of the processing conditions having a plurality of options is set, and the setting is not limited to the translation condition.

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

In the above embodiment, the same translation condition is set for the source language and the target language. However, the translation condition may be set for each language.
Further, in the case of a bidirectional machine translation system, different translation condition setting tables 1 depend on which is the source language.
0 may be applied.

Furthermore, in the description of the above embodiment, the so-called inline tag representing the font modification of the character string portion in the sentence is not used for selecting the translation condition to be applied. Alternatively, predetermined data may be described in the translation condition setting table 10.

Further, in the above-described embodiment, the translation condition setting table 10 is described as being capable of being registered and edited by the user. However, the translation condition setting table 10 may be fixedly provided in the system. A system fixed unit may be provided.

Further, in the above-described embodiment, the machine translation system for the tagged document has been described. However, even if the tag information is different from the tag information consisting of the text data string similar to the text portion, the tag translation in the tagged document can be performed. The technical idea of the present invention can be applied to any machine that translates a document accompanied by information defining an output format that performs the same function as information.

Further, in the above embodiment, the present invention is applied to a machine translation system. However, the present invention can be applied to other document processing systems.
Some document processing systems (natural language processing systems)
Even if the conversion into the target language is not performed, there are many that execute the same analysis processing as the machine translation system, and it goes without saying that the present invention can be applied to such a document processing system.

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

[0099]

As described above, according to the first aspect of the present invention,
(1) Based on the format information of the format specification information,
Select one of the processing conditions that can be selected from the
A processing condition setting storage unit that stores the expression specification information and the selected processing condition in association with each other, and (2) extracts the format specification information included in the document to be processed and stores the format specification information in the processing condition setting storage unit (3) If there is a type of format specification information whose matching result matches (3) the processing condition setting corresponding to the type of format specification information Processing means for executing processing on a sentence portion of which the format is specified by the format specification information in the document to be processed by applying the processing conditions stored in the storage means, so that information obtained from the format specification information , The processing can be performed by dynamically changing the processing conditions, and an optimum processing result can be obtained at high speed in accordance with the contents of the format specification information.

In the second aspect of the present invention, the (1) format
Select from multiple items based on the format information of the designated information.
Select one of the selectable processing conditions and
A processing condition setting that stores, as a set of information , a type of report, a selected processing condition, and an application condition that defines when the type of one or more types of format specification information is applied to the above processing condition. And (2) extracting the format specification information included in the document to be processed, collating it with the type of format specification information stored in the processing condition setting storage device, and determining whether the applicable conditions are satisfied. Matching means for determining
(3) If there is a type of the format specification information that satisfies the determination result, the processing condition corresponding to the type of the format specification information and stored in the processing condition setting storage unit is applied, and the processing is performed. Processing means for executing processing on a sentence portion of which format is specified by the format specification information in the target document, so that processing conditions can be dynamically changed by using information obtained from the format specification information. Processing can be performed, an optimum processing result can be obtained at high speed in accordance with the contents of the format specification information, and flexible and accurate processing conditions can be specified.

[Brief description of the drawings]

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

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

FIG. 3 is a flowchart illustrating an overall process according to the first embodiment.

FIG. 4 is a flowchart illustrating a translation process according to the first embodiment.

FIG. 5 is a diagram showing a document used for describing a specific operation of the first embodiment.

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

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

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

FIG. 9 is an explanatory diagram showing an example of a translated sentence file (corresponding to FIG. 5) according to the first embodiment;

FIG. 10 is an explanatory diagram illustrating an example of an output file (corresponding to FIG. 5) according to 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 illustrating a translation process according to 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]

DESCRIPTION OF SYMBOLS 1 ... Input-output device, 2 ... Input part, 3 ... Output part, 4 ... Processing device, 5 ... Original sentence division processing part, 6 ... Translation processing part, 7 ... Merge processing part, 8 ... Storage device, 9 ... Input file, 10: translation condition setting table, 11: output file, 12: tag information file, 13: original text file, 14: translated text file, 21, 111: tag id part, 22, 113: translation condition part, 112: application condition part.

──────────────────────────────────────────────────続 き Continued on the front page (58) Fields surveyed (Int.Cl. ⁷ , DB name) G06F 17/21-17/28 G06F 12/00

Claims (4)

(57) [Claims] In a document processing system for processing a document accompanied by format specification information for specifying a format at the time of display and printout, a document processing system determines whether or not a plurality of formats are included based on format information included in the format specification information.
Select one of the selectable processing conditions from
A processing condition setting storage unit that stores the fixed information and the selected processing condition in association with each other; and extracts format specification information included in the document to be processed and stores the extracted format specification information in the processing condition setting storage unit. If there is a matching unit that matches the type of the format specification information, and if there is a type of the format specification information that matches the matching result, it is stored in the processing condition setting storage unit corresponding to the type of the format specification information. Processing means for executing a process on a sentence portion of the document to be processed, the format of which is specified by the format specification information, by applying the processing conditions described above. 2. 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 , based on the format information contained in the format designation information.
Select one of the selectable processing conditions from
A processing condition that stores, as set information , a type of fixed information, a selected processing condition, and an application condition that defines when the type of one or more types of format specification information is applied to the above processing condition. Setting setting means for extracting the format designation information contained in the document to be processed, collating it with the type of format designation information stored in the processing condition setting storage means, and determining whether the applicable condition is satisfied; If there is a type of the format specification information that satisfies the determination result, the processing condition stored in the processing condition setting storage unit corresponding to the type of the format specification information is applied. And processing means for executing processing on a sentence portion of the document to be processed, the format of which is specified by the format specification 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 document in a source language into a document in a target language, and the processing conditions stored in the processing condition setting storage means are adapted to the type of dictionary to be applied and / or A translation rule that defines a translation rule and / or whether or not to execute translation.
3. The document processing system according to any one of 3.