JPS6244872A - Machine translator - Google Patents

Abstract

PURPOSE:To clearly grasp the corresponding relation between an original and its translation by controlling the display of the original and its translation which is the translated result so that respective paragraphs can be discriminated and displaying these sentences correspondingly. CONSTITUTION:An original inputted from an input part 1 is stored in an original storing part 2 and a translation part 4 successively executes the machine translation processing of the original stored in the original storing part 2 by using the knowledge of a translation dictionary part 5. The translated sentences are successively stored in a translation storing part 6. An edition control part 3 detects the paragraphs of the original, adds the paragraph information to the translation and displays the translated result in accordance with the paragraph information so that respective paragraphs of the original and the translation can be discriminated each other.

Description

DETAILED DESCRIPTION OF THE INVENTION [Technical Field of the Invention] The present invention relates to a machine translation device that can improve the efficiency of translation and editing work.

[Technical background of the invention and its problems]

2. Description of the Related Art Recently, machine translation devices that automatically machine translate an input original text using a computer and obtain the translated text have been attracting attention. For example, input a Japanese sentence and get its English translation,
Various attempts have also been made to develop natural language machine translation devices that input an English sentence and obtain its Japanese translation.

This type of device basically performs morphological analysis, syntax analysis, etc. on an input original text, and classifies it into predetermined processing units, such as candy (seasonal). Then, the translation dictionary is searched for each processing unit to find the translation word (translation) corresponding to each processing ψ position, and these translation words (translation phrases) are combined according to predetermined translation rules to find the translation. be done.

However, since semantic interpretation technology for natural languages has not been sufficiently established, it is extremely difficult to reliably obtain an appropriate translation using the above-mentioned machine translation.

Specifically, for example, the word (find) is
One original word often has multiple translation candidates, such as feeling, finding, finding out, solving, breaking, exposing, discovering).

Therefore, depending on which translated word is selected, the linguistic expression of the translated text changes significantly, and the semantic nuance of the translated text is likely to be misaligned.

Conventionally, therefore, a plurality of translation word candidates for each processing unit (original word) are presented to the operator, and a translated sentence is constructed using the translation word selected and designated by the operator as being the most appropriate.

However, even when a translated text is obtained in this way, the translated text often still contains inappropriate translated expressions. Therefore, as a post-editing process for the translated text, there remains a need for the operator to correct the inappropriate translated word into an appropriate translated word.

However, when performing such translation correction processing, there is a problem in that if a plurality of translated sentences obtained by the translation processing and their original sentences are each successively displayed, it is difficult to grasp the correspondence between each translated sentence and the original sentence. Furthermore, if the translated text and the original text are displayed in correspondence at the same time, there is a problem in that it becomes difficult to understand the overall flow of the text and its cohesion.

Therefore, in order to understand the context, clearly grasp the correspondence between the translated word to be corrected and its language, and perform effective translation editing, there is a strong need for improvements to the display of translation results.

[Purpose of the invention]

The present invention has been made in consideration of these circumstances, and its purpose is to enable a clear understanding of the correspondence between em in the context, sentences and 8n, and to facilitate translation and editing work on translated texts. An object of the present invention is to provide a machine translation device that can perform translation efficiently.

[Summary of the invention]

The present invention provides a machine translation device that translates an original text using knowledge information stored in a translation dictionary section, displays the resulting translated text and the original text, and performs translation editing on the -F translated text. , the paragraph in the original text is detected, the paragraph information is added to the translated text, and the translation result is displayed according to the paragraph information so that the original text and the translated text can be identified. .

〔Effect of the invention〕

Thus, according to the present invention, for example, the original text and the translated text are displayed in correspondence in paragraph units in the original text display area and the translated text display area, which are set by dividing the display screen. It becomes possible to effectively grasp the flow and its cohesion, and to easily understand the correspondence between the original text and the translated text using paragraphs as clues.

Therefore, it is possible to simplify the translation and editing work, and to obtain a translated text with an appropriate linguistic expression easily and efficiently, which brings about great practical effects.

[Embodiments of the invention]

Hereinafter, one embodiment of the present invention will be described with reference to the drawings.

In this embodiment, an English sentence is input and it is machine translated into Japanese lin. FIG. 1 is a schematic diagram of the apparatus of this embodiment.

In FIG. 1, reference numeral 1 denotes an input section 1 consisting of a keyboard and the like. The English sentence input from the input unit 1 or the like is stored in the original text storage unit 2 as an original text to be subjected to translation processing.

The translation unit 4 uses the knowledge information for translation processing stored in the translation dictionary unit 5 in advance under the control of the editing control unit 3 to sequentially process the original text stored in the original text storage unit 2 in predetermined processing units. Process machine translation.

The knowledge information stored in the translation dictionary section 5 includes, for example, a rule/irregular variation dictionary 5a, a word (translation) dictionary 5b, an analysis grammar 5C1, a conversion grammar 5d, a generative grammar 5e, a morpheme generative grammar 5f, and the like. The translated Japanese sentences obtained by machine-translating the original text using such knowledge information are sequentially stored in the translated text storage unit 6.

The editing control section 3 drives the display control section 7 to display the English sentence stored in the original text storage section 2 and the translated text storage section 6.
The Japanese sentences stored in the . This post-editing process is executed according to control information input from the input section 1, for example, by referring to knowledge information stored in the translation dictionary internal 5.

The original text completed after such post-editing processing (
The translation (Japanese sentence) for the English obituary) is output as a hard copy by the printing unit 9.

By the way, FIG. 2 shows an example of the structure of the keyboard that constitutes the input section 1. As shown in FIG. This keyboard includes, for example, a group of keys 1a for inputting character data, a key group 1h for translation instructions, a group of editing keys 1c, a group of function control keys 1d, a group of keys 1e for controlling the cursor on the display section 8, etc. It consists of

Further, FIG. 3 shows an example of the configuration of a display screen for the original text and translated text on the display section 8. As shown in FIG. Here, the display screen is the translation editorial area lJ! at the top of the screen. 8a, an original text display area 8b on the left side of the screen, and a translated text display area 8C on the right side of the screen. In this original text display area 8b, the input original texts stored in the original text storage section 2 are sequentially displayed, and in the translated text display area 8C, the translated texts stored in the translated text storage section 6 correspond to the original texts from which the translations were obtained. will be displayed. In the translation editing area 8a, information necessary for the translation processing, such as the ¥R city candidate searched from the translation editing section 5 and provided for the translation processing, is displayed.

FIG. 4 shows the basic operation sequence of the embodiment apparatus configured as described above. According to such an operation sequence, the editing control section 3 determines the translation end information given from the translation section 4 and various key information input from the input section 1, and interactively controls the translation/editing process. do.

That is, the editing control unit 3 monitors the translation processing status in the translation unit 4, and in step A), when it detects that the translation processing of one original text in the translation unit 4 is completed, the editing control unit 3 changes the translation obtained by the translation processing to the translated text. The translated text is stored in the storage unit 6 and displayed on the display unit 8 in correspondence with the original text (step B).

Further, when the translation process is continuing in the translation unit 4 or when the translation process is not being performed, the editing control unit 3 determines the key information input from the input unit 1 (steps C, D, and E). , F). If the input key information is "translation instruction key J" (step C), the editing control section 3 gives the input original text stored in the original text storage section 2 to the translation section 4, and starts the translation process (step C). G).

Further, if the input key information is a "character key" (step D), store the character code indicated by the character key in the input buffer (step H), store the character code in the original text storage section 2, and The character pattern is displayed on the display section 8 (step 2). By displaying each character pattern of the character code stored in this manual buffer,
The original text input from the input section 1 will be displayed.

Further, if the input key information is an "edit key" (step E), the editing process corresponding to the edit key is executed on the translation (step J). Similarly, if the input key information is a "function key" (step F),
The process corresponding to that function key is executed (step K
).

-〇- Then, if there is no key information input, or if the input key information is other than the above-mentioned "key", other processing, such as hard copy output of the translated text obtained in the translated text storage section 6, is performed. etc. will be carried out.

With such an operation sequence of the editing 11j control section 3,
For example, when an operator inputs characters by operating the character input key group 1a of the keyboard, the character information is sequentially set in the input buffer and sequentially stored in the original text storage unit 2 as the original text to be subjected to translation processing (step D,)-
1). The input original text is then displayed in the original text display area 8b of the display section 8 (step 1).

When the translation instruction key 1b is operated at any point in character input, for example, at the end of inputting one sentence, translation processing for the input original text stored in the human input buffer is started according to the key input information (step C, a>. When the translation process is completed, the translation thus obtained is displayed in the translation display area 80 of the display section 8 (step A, 8).

If it is necessary to edit the input original text, for example, by operating the cursor control key group 1e to move the cursor to the corrected part, while editing the original text by operating the character input key group 1a. , Editing key group 1C for correction, insertion, deletion, etc.
The editing process is executed by operating the
Steps E, J).

In this way, the basic operations of machine translation processing are controlled.

By the way, the translation process of the original text is executed as follows, for example.

FIG. 5 shows an example of the processing sequence.

The translation unit 4 first inputs the original text to be translated (step P), and then morphologically analyzes the original text (step Q).
). This morphological analysis consists of a process of converting, for example, an original word that has undergone a conjugation change or an inflection change into its original form (basic form) using the rule/irregular change dictionary 5a stored in the translation dictionary section 5. For the original word morphologically analyzed in this way, information such as part of speech information and translated words is obtained using the word dictionary 5b (step R). This process is performed by searching the word dictionary 5b using the original word as a headword.

On the other hand, under predetermined analysis control according to the above-described analysis grammar 5C (step S), the original text is parsed (step T). This parsing is repeated until the original text is successfully parsed. Through this syntactic analysis, the arrangement structure of the parts of speech of the original language that composes the original sentence, their dependencies, tenses, etc. are determined.

Thereafter, the structure of the parsed original sentence is converted into the syntactic structure of the translated sentence using the conversion grammar 5d (step U
). That is, the conversion grammar 5d is used to convert the syntactic structure of English (original text) into the syntactic structure of Japanese (translated text). Note that if this structural conversion fails, it is determined that there is an error in the syntactic analysis of the original text, and the syntactic analysis process of the original text is restarted.

Thereafter, the translation word candidates found for each original word of the original text based on the syntactic structure of the translation text are rearranged in word order according to the form of the original word of the translation text to obtain translation candidates for the above-mentioned original text (Step V).

This syntax generation process is performed according to the generation grammar 5f. Then, each translation word candidate (basic form) constituting the translation candidate is subjected to conjugation transformation and ending transformation processing according to the syntactic analysis result of the original sentence and the morpheme generation grammar 5g, and the translation is completed (step W).

The translated text for the original text obtained through such translation processing is stored in the translated text storage section 6 and displayed in correspondence with the original text. Incidentally, when a plurality of types of translations for one original text are obtained, for example, only one translation may be displayed, and at the same time, the existence of other translations may be identified and displayed.

By the way, in this apparatus, paragraphs of the original text that are continuously input through the input section 1 are detected, and the display of the above-mentioned translation results is controlled according to the paragraph detection results.

Figure 6 shows the flow of the paragraph detection process. For example, step a) determines whether the input character code is a delimiter, and if it is a delimiter, the next character code is a line feed specification code. It is determined whether there is one (step b). After that, it is determined whether the next character code is a blank or tab code (step C), and it is further determined whether the next character code is an uppercase character (step d).
), the uppercase character position is detected as the beginning position of the paragraph.

In other words, if the original text is in English, it can be found from the pattern of its character code string that most of the first characters of ■paragraphs are capital letters. Note that these uppercase letters also include numbers and special symbols.

(2) The character code before such a capital letter is always a blank or a tab, and (2) there is a line feed specification code before it. Furthermore, (1) there is a predetermined delimiter before it, which indicates, for example, the end of the previous paragraph. Therefore, the starting condition for a paragraph is (delimiter) (0) (blank) (
It can be seen that the character code string is (uppercase).

Therefore, by determining the arrangement of character code strings as described above, it is possible to detect almost every paragraph start point in an English sentence.

The original text storage unit 2 is configured to add the paragraph start position information detected in this way, as a paragraph flag (1), for example, to the paragraph detection position of the original text, and store it together with the original text information.

When displaying the original text and the translated text as a result of its translation on the display unit 8 as described above, the display control unit 7 controls the display of the original text and the translated text so that the paragraph can be identified according to the paragraph flag. ing.

Specifically, as shown in Figure 7, for example, at the start position 1 of a paragraph, a sentence is displayed with a space of two characters, and at positions other than the start position of a paragraph, the sentence is displayed from the first character position of the display line. The display is controlled so that the paragraph can be identified.

FIG. 8 shows an example of a sequence of such display control.

That is, when displaying the original text and translated text stored in the original text storage unit 2 and the translated text storage unit 6 as translation results, the display control unit 7 first determines that the paragraph flag attached to the original text is (1). It is determined whether or not (step Q). When the flag is (1), the original text is recognized as the first original text in a paragraph, and the translated text obtained from the original text is assumed to be the first text of the paragraph in the translated text. Set the paragraph flag to (1) (step h).

After such preprocessing, the original text is displayed on the original text display frame 118b (step 1), and the translated text is displayed on the translated text display area 8C (step j).

To display these original sentences (translated sentences), first, it is determined whether the flag attached to the sentence is (1) or not (step k),
This is done by identifying whether the sentence is the first sentence of a paragraph.

If the flag is (0), it is assumed that the sentence is not the first sentence of the paragraph, and the sentence is displayed in order from the first character position of the display line (step a). Also, the flag is (1)
If so, the sentence is assumed to be the first sentence of the paragraph, and the sentence is displayed starting from the third character of the display line (step m). Performing such display control on the original text and the translated text described above (step n, 0), and creating a correspondence table showing the correspondence between the original text and the translated text to be display-controlled in this way (step p); Move on to display control for the next sentence.

The translation results displayed in this way are subjected to editing processing such as correcting the translated words.

To briefly explain this translation/editing process, the translation/editing process for the translated sentence is performed as follows by inputting an instruction using the editing key.

Translation editing processing for this translated text is performed using the I! This is achieved by performing processing on i (original word, original word/phrase, translated word, translated word/phrase) corresponding to the operated editing key. Specifically, you can: ■ Insert a character before the cursor position by operating the insert key, ■ Delete the character string in the range indicated by the cursor by operating the delete key, ■ Delete the character string indicated by the cursor by operating the move key. ■ Move the character string in the range specified by the cursor, ■ Disable each editing function specified by each of the above keys by operating the Cancel key, ■ Modify the word or phrase indicated by the cursor by operating the keys. The modification consists of translation editing processing such as displaying candidates.

Further, when the above-mentioned function control keys are operated, the following functions are provided and are used for translation editing of the above-mentioned translated text.

In other words, ■ When the translation display area is operated, the translated word is displayed for the edict in the translated text that the cursor points to. ■ When the dictionary display key is operated, the word in the original text that the cursor points to is displayed as a heading. ■ When the dictionary registration key is operated, the character string indicated by the cursor is registered in the dictionary as a new word/idiom; ■ When the dictionary deletion key is operated, the new word registered in the dictionary is displayed.・Delete the registration of an idiom. ■ When the partial translation key is operated, this is indicated by the cursor and is realized by a function such as displaying a partial translation of the original text for which translation processing has failed.

In addition, the above-mentioned instructions for character strings (words), etc.
This is performed by moving the cursor on the display screen by operating the cursor movement keys and varying the cursor size by using the cursor control keys.

Using these various functions, lJl! Post-processing such as candy correction is performed interactively.

In this way, according to this device, the original text and the translated text that are the result of its translation are displayed in correspondence with each other under display control so that the paragraphs can be identified. , the correspondence between paragraphs, and the correspondence between sentences can be clearly understood. It also becomes possible to clearly grasp the scope of the paragraph. Therefore, it is possible to significantly reduce the burden on the operator in editing the translation, and to effectively obtain a translated text that is appropriately expressed in language while taking into account the context of the original text.

Therefore, great practical effects can be achieved, such as simplifying translation and editing processing and making it more efficient.

Note that the present invention is not limited to the embodiments described above. For example, although a blank line of two characters is set to identify a paragraph, a predetermined blank line may be set to identify and display a paragraph.

Also, special symbols identifying paragraphs may be displayed. In addition, the present invention can be implemented with various modifications without departing from the gist thereof.

[Brief explanation of the drawing]

The figures show a device according to an embodiment of the present invention; FIG. 1 is a schematic configuration diagram of the device, FIG. 2 is a diagram showing an example of the configuration of a keyboard,
3 is a diagram showing an example of a display screen, FIG. 4 is a diagram showing a basic operation sequence, FIG. 5 is a diagram showing a machine translation processing sequence, and FIG. 6 is a diagram showing a paragraph detection processing sequence, Figure 7 is a diagram showing a specific display example of translation results.
FIG. 8 is a diagram showing an example of a translation result display control sequence. DESCRIPTION OF SYMBOLS 1... Input section, 2... Original text storage section, 3... Edit control section, 4... Translation section, 5... Translation dictionary section, 6...
Translation storage unit, 7... Display control unit, 8... Display unit, 9
...Printing Department.

Claims (1)

[Scope of Claims] An original text storage unit that stores an input original text, a translation dictionary unit that stores knowledge information used for translation processing of the original text, and an original text that is stored in the original text storage unit using the knowledge information. a translation processing unit that performs translation processing, a translation storage unit that stores a translated text obtained through translation processing in correspondence with the original text from which the translated text is obtained, a display unit that displays the original text and the translated text, and this display unit. A machine translation device is equipped with a translation editing unit that controls the editing process for the original text and translated text displayed in the original text, and a means for detecting a paragraph in the original text, and a means for adding paragraph information to the translated text obtained from the original text according to the detection result. A machine translation device characterized by comprising: means for adding the paragraph information; and means for displaying the translated text in a manner that allows the paragraph to be identified in accordance with the paragraph information.