KR20180057923A - User database construction system for auto interpreting and translating system, auto interpreting and translating system using the same, and method thereof - Google Patents

Abstract

A system for constructing a user database for an automatic translation and interpretation system according to an embodiment of the present invention includes a vocabulary extraction unit for extracting vocabularies in input external information; A semantic generation unit for generating semantics for the external information; And a mapping unit for mapping the vocabulary extracted by the vocabulary extraction unit and the meaning generated by the semantic generation unit to generate mapping information of a (vocabulary, semantic) type, storing the generated mapping information in a database, .

Description

Technical Field [0001] The present invention relates to a user database construction system for an automatic translation and interpretation system, an automatic translation and interpretation system using the same,

TECHNICAL FIELD The present invention relates to an automatic translation and interpretation technology, and more particularly, to an automatic translation and interpretation system capable of improving the quality of an automatic translation and interpretation service by using not only its own knowledge but also external information, And an automatic translation and interpretation system using the same and a method thereof.

One of the problems encountered when using the existing automatic translation and interpretation system is that the automatic translation and interpretation system is used when there are special proper nouns related to the area (name, building, trade name, transit name such as train / subway / Sometimes the translator does not perform the translation properly, or the proper noun is mis-translated.

Due to the failure of correct translation of such an automatic translation and interpretation system, it often occurs that the user fails to accurately convey his / her intention.

The conventional automatic translation and interpretation system carries out translation using knowledge it possesses. Translation using this knowledge of self-holding applies equally to Rule Based Machine Translation (RBMT), statistical machine translation, or Neural machine translation, which is referred to as the latest technology.

As described above, since the conventional automatic translation and interpretation system carries out the translation in the knowledge it has, it can not output the correct codeword for the vocabulary to be classified in the unregistered language, .

In addition, when visiting a place using a language such as a word-of-mouth language, even if an alphabet is used in English, if the locally used language (that is, the band language) is not English, I sometimes do not understand the English notation included.

For example, when a foreigner visits Korea and inquires how to find a National Folk Museum using the National Palace Museum of Korea, which is the official name of the National Folk Museum, Museum of Korea 'does not know where it is called, and sometimes it is not able to give guidance to foreigners.

As another example, when a person in another language visits China and asks for directions using the English language on the road sign instead of asking for proper nouns using Simlified Chinese, It may not be possible to understand the correct position of the sensor.

Due to the problems described above, when you visit a country that normally uses another language, you can write your local language, on paper, print it out, show your intended location, name, and other proper nouns, In many cases, they ask local people while photographing and showing photographs of signs and instructions written.

One of these techniques is to take a picture and perform the optical character recognition (OCR) on the character in the picture, recognize it as a digitized character, and translate it.

However, there is a limitation in that it does not allow accurate translation of proper nouns, and even when the user knows the meaning, there is a problem that the user can not communicate with the local person using the vocabulary.

It is therefore an object of the present invention to improve the quality of an automatic translation and interpretation service by using it to translate external information as well as its own knowledge And an automatic translation and interpretation system using the same, and a method thereof.

According to another aspect of the present invention, there is provided a system for constructing a user database for an automatic translation and interpretation system, the system including: a vocabulary extracting unit for extracting vocabularies in input external information; A semantic generation unit for generating semantics for the external information; And a mapping unit for mapping the vocabulary extracted by the vocabulary extraction unit and the meaning generated by the semantic generation unit to generate mapping information of a (vocabulary, semantic) type, storing the generated mapping information in a database, .

Wherein the vocabulary extraction unit comprises: an information type discrimination unit for discriminating whether the external information is unstructured external information or formal external information; A character recognition unit for recognizing characters in the non-fixed external information provided from the type discrimination unit; A vocabulary determination unit for determining a vocabulary included in the external information provided from the information discrimination unit and for identifying the vocabulary by identifying a character provided from the character recognition unit; And an input / output interface for outputting a determination result provided by the lexical decision unit rotor and providing information input from the outside to the lexical decision unit.

The lexical judgment unit provides the determined vocabulary to the input / output interface when the lexical judgment is successful, and provides the lexical judgment failure status to the input / output interface when the lexical judgment fails.

The vocabulary determination unit provides a vocabulary determination result to the input / output interface, and then outputs a vocabulary according to information provided from the input / output interface.

The vocabulary determination unit outputs a vocabulary provided from the input / output interface when the vocabulary is provided from the input / output interface, and outputs the determined vocabulary when receiving the application signal from the input / output interface.

Wherein the semantic generation unit comprises: an information type discrimination unit for discriminating whether the external information is unstructured external information or external external information; An object recognition unit for performing object recognition on the atypical external information provided from the information type discrimination unit and generating object information; A semantic judging unit for judging the meaning of the formal external information provided from the information type judging unit and judging the meaning of the object information provided from the object recognizing unit; And an input / output interface that outputs a determination result provided from the semantic determination unit and provides information input from the outside to the semantic determination unit.

The semantic determination unit provides the determined semantic to the input / output interface when the semantic determination is successful, and provides the semantic determination failure status to the input / output interface when the semantic determination fails.

The semantic determiner outputs semantics according to information provided from the input / output interface after providing a semantic determination result to the input / output interface.

The semantic determination unit outputs a meaning provided from the input / output interface when receiving the meaning from the input / output interface, and outputs the determined meaning when receiving the application signal from the input / output interface.

An automatic translation and interpretation system according to an embodiment of the present invention includes a system database, which is implemented at the time of establishing an automatic translation and interpretation system, and stores information for translation and interpretation; A user database in which external information is stored in a form of a pair (lexical, meaning) of a word in the external information input by the user and a meaning of the external information after the automatic translation and interpretation system is constructed; A translating / translating unit for translating and interpreting the input sentence; And a text input device for generating a sentence composed of text expressed only in a source language according to a request of a user and providing the sentence to the interpretation section or providing a sentence having a combination of a source language and a target language to the interpretation section.

The text input device may include a text input unit configured with a text input button and outputting text corresponding to a user's instruction; An external information reference button for outputting an external information reference signal corresponding to the user's instruction; An external information display unit for displaying information provided from outside; A completion button for outputting a completion signal corresponding to a user instruction; And a text input through the text input unit to create a sentence composed of a text input through the text input unit and external information selected from external information stored in the user database, And a control section for providing an interpretation section.

Upon receiving the external information reference signal, the control unit extracts external information stored in the user database, displays the extracted external information on the external information display unit, and creates a sentence using external information selected from the displayed external information.

Wherein the control unit provides the text to the interpretation station when the text input unit receives the completion signal, or the text input through the text input unit and the external information selected from the external information stored in the user database To the interpretation and distribution section.

According to an embodiment of the present invention, there is provided an automatic translation and interpretation method comprising: displaying a text input through a text input unit on a text display unit; Extracting external information from the user database and displaying external information selected from the extracted external information on the text display unit when there is an external information reference request; And translating a sentence consisting of text input through the text input unit when there is a completion request or translating a sentence having a combination of text input through the text input unit and external information selected from external information stored in the user database .

The step of displaying the external information on the text display unit may include extracting external information from the user database when the external information reference request is received, displaying the extracted external information on the external information display unit, On the text display unit.

The step of displaying the text on the text display unit and the step of displaying the external information on the text display unit are alternately repeated.

The external information stored in the user database is stored in a form of a pair (lexical meaning) in the form of a pair of the words in the external information and the meaning of the external information inputted by the user after the automatic translation and interpretation system is constructed.

The external information stored in the user database may be stored in a form of a pair (lexical or semantic) of a vocabulary in the unstructured external information and a meaning of the unstructured external information, The meanings are stored in pairs (vocabulary, meaning).

If the external information stored in the user database is generated based on the unstructured external information, the external information stored in the user database recognizes the character in the unstructured external information, To generate the object information, to identify the recognized character to judge the vocabulary, to judge the meaning of the generated object information, and to generate based on the determined vocabulary and meaning.

Wherein if the external information stored in the user database is generated based on the external external information, the external information stored in the user database is used to determine a vocabulary in the external external information, And is based on the determined vocabulary and meaning.

According to the embodiment of the present invention, the knowledge of the vocabulary of the difficult language to be input or the proper noun not included in the existing automatic translation and translation engine is received from the external information, the vocabulary is provided in a kind of user defined dictionary format, The quality of the resultant product can be improved.

In addition, through the application of the present invention, the user can conveniently input a sentence intended by the user without using input method environments for inputting vocabulary.

1 is a diagram illustrating an example of a system for constructing a user database of an automatic translation and interpretation system according to a preferred embodiment of the present invention.
2 is a diagram showing an example of a configuration of a lexical value extracting unit of the user database construction system of FIG.
3 is a diagram showing an example of a configuration of a meaning generation unit of the user database construction system of FIG.
4 is a flowchart illustrating an operation of a system for constructing a user database for an automatic translation and interpretation system according to an embodiment of the present invention.
FIG. 5 is a flow chart specifically illustrating a word extraction process and a meaning generation process in step S410 shown in FIG.
6 is a diagram showing an example of the configuration of an automatic translation and interpretation system according to a preferred embodiment of the present invention.
7 is a detailed configuration diagram of the text input device of Fig.
8 is a flowchart illustrating an operation of an automatic translation and interpretation system according to an exemplary embodiment of the present invention.

For specific embodiments of the invention disclosed herein, specific structural and functional descriptions are set forth for the purpose of describing an embodiment of the invention only, and it is to be understood that the embodiments of the invention may be embodied in various forms, And should not be construed as limited to the embodiments described.

The present invention is capable of various modifications and various forms, and specific embodiments are illustrated in the drawings and described in detail in the text. It should be understood, however, that the invention is not intended to be limited to the particular forms disclosed, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

The terms first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between. Other expressions that describe the relationship between components, such as "between" and "between" or "neighboring to" and "directly adjacent to" should be interpreted as well.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms " comprising ", or " having ", and the like, are intended to specify the presence of stated features, integers, But do not preclude the presence or addition of steps, operations, elements, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

On the other hand, if an embodiment is otherwise feasible, the functions or operations specified in a particular block may occur differently from the order specified in the flowchart. For example, two consecutive blocks may actually be performed at substantially the same time, and depending on the associated function or operation, the blocks may be performed backwards.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an automatic translation and interpretation system proposed by the present invention, a method thereof, and a user database construction system therefor will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an example of a system for constructing a user database of an automatic translation and interpretation system according to a preferred embodiment of the present invention.

Referring to FIG. 1, a system 100 for constructing a user database according to a preferred embodiment of the present invention analyzes information (hereinafter referred to as 'external information') input from the outside, Extracts the meaning of the external information, maps the extracted vocabulary to the generated meaning, and stores it in a database (DB) to construct a user database.

To this end, the construction system 100 includes at least one processor for performing a function and a memory for storing information required to perform the function or a result of the performance.

Specifically, the construction system 100 includes a lexical analyzer 110, a semantic generator 120, a mapping unit 130, and a database 140.

Here, the external information may be unstructured external information or may be external external information. The external external information may be a photograph taken by a camera (ex, a photograph of a sign), and the external external information may be computer readable Information stored in a recording medium, and information that can be acquired using an electronic device.

Examples of the external information include a digitalized subway station name guidance map, a digitized bus station name map, and the like.

At this time, since the external information is input to each of the lexical analyzer 110 and the semantic generator 120, a pair of (vocabulary, semantic) information is generated for one external information.

The vocabulary extraction unit 110 is configured to extract a vocabulary from input external information. The vocabulary extraction unit 110 analyzes the external information and extracts a vocabulary included in the external information.

The semantic generation unit 120 is configured to generate semantics for input external information. The semantic generation unit 120 analyzes the external information and generates a meaning of the external information.

The detailed configuration of the vocabulary extraction unit 110 will be described later with reference to FIG. 2, and the detailed configuration of the meaning generation unit 120 will be described later with reference to FIG.

Meanwhile, the mapping unit 130 receives the vocabulary extracted by the vocabulary extraction unit 110 and the meaning generated by the meaning generation unit 120, maps the received vocabulary and meaning to each other, And establishes the database 140.

2 is a diagram showing an example of a configuration of a lexical value extracting unit of the user database construction system of FIG.

Referring to FIG. 2, the vocabulary extraction unit 200 of the present invention can be applied to the vocabulary information extraction unit 110 of FIG. 1, and extracts vocabularies included in input external information.

For this, the vocabulary extraction unit 200 may include at least one processor for performing a function and a memory for storing information necessary for performing a function or an execution result.

Specifically, the vocabulary extraction unit 200 may include an information type determination unit 210, a character recognition unit 220, a lexical information database 230, a lexical determination unit 240, and an input / output interface 250 .

The information type determination unit 210 determines whether the inputted external information is unstructured external information or external external information. For example, since the unstructured external information and the fixed external information have different input paths, the information type determination unit 210 can determine the type of external information based on the input path.

If the input external information is unstructured external information, the information type determination unit 210 provides the input external information to the character recognition unit 220. If the inputted external information is the formal external information, the information type determination unit 210 provides the input information to the lexical deciding unit 240 .

The character recognition unit 220 recognizes the characters included in the unstructured external information provided from the information type determination unit 220 and provides the recognized character to the lexical determination unit 250.

For example, when a road sign such as' Taesanro ',' Jangpyeongro 'and' Alpanro 'is photographed and input, the character recognition unit 220 recognizes characters' Taesanro', ' And provides it to the vocabulary determination unit 240.

The lexical information database 230 stores vocabulary information necessary for the vocabulary determination unit 240 to determine a vocabulary and provides a vocabulary in response to a request from the vocabulary determination unit 240.

The lexical character determination unit 240 receives the formal external information provided from the information type determination unit 210, determines a vocabulary included in the received external external information, Recognizes the received character, and judges the vocabulary.

For example, when a user confirms a subway route map using a smart phone and inputs the subway route map as external information, the station name of the subway route map is digitized information, Is not required.

That is, since the vocabulary in the unstructured external information can not be immediately recognized by the vocabulary determination unit 240, a character recognition process by the character recognition unit 220 is required. However, the vocabulary in the formal external information is determined by the vocabulary determination unit 240 Because it is directly identifiable, character recognition process is not necessary.

The vocabulary determination unit 240 may provide the determined vocabulary to the input / output interface 250 so that the input / output interface 250 displays the vocabulary so that if the user determines that the vocabulary determined by the vocabulary determination unit 240 is appropriate Can be determined.

In addition, if the lexical character determination unit 240 fails to determine the lexical character, the lexical character determination unit 240 provides the input / output interface 250 that the lexical character determination has failed, so that the input / So that the user can be informed of the lexical judgment failure situation.

The input / output interface 250 may display the vocabulary provided from the vocabulary determination unit 240 and provide the vocabulary input by the user to the vocabulary determination unit 240.

In addition, the input / output interface 250 may display a lexical judgment failure condition provided from the lexical analyzer 240. [

That is, the user can determine whether the displayed vocabulary is appropriate through the input / output interface 250, and can also check the lexical judgment failure situation.

If the lexical judgment is not correctly performed, the user can directly input the vocabulary through the input / output interface 250.

Further, when the lexical judgment is made correctly, the user can input the application for using the currently determined vocabulary.

The lexicon determining unit 240 provides the determined vocabulary or the vocabulary input through the input / output interface 250 to the mapping unit 130 of FIG.

3 is a diagram showing an example of a configuration of a meaning generation unit of the user database construction system of FIG.

Referring to FIG. 3, the meaning generator 300 of the present invention can be applied to the meaning generator 120 of FIG. 1, and generates a meaning of input external information.

For this purpose, the semantic generation unit 300 may include at least one processor for performing functions and a memory for storing information or execution results necessary for performing functions.

The semantic generation unit 300 includes an information type determination unit 310, an object information database 320, an object recognition unit 330, a semantic information database 340, a semantic determination unit 350, and an input / output interface 360 .

The information type determination unit 310 determines whether the input external information is irregular external information or external external information. For example, since the unstructured external information and the fixed external information have different paths to be input, the information type determination unit 310 can determine the type of external information based on the input path.

If the inputted external information is unstructured external information, the information type discrimination unit 310 provides the information to the object recognition unit 330. If the inputted external information is the formal external information, the information type discrimination unit 310 provides the semantic determination unit 350 with the information .

The entity information data face 320 stores entity information necessary for the entity recognition unit 330 to recognize the entity and provides entity information according to a request from the entity recognition unit 330.

The entity recognition unit 330 performs entity recognition on the atypical external information provided from the information type determination unit 310 to generate entity information and provides the generated entity information to the semantic determination unit 350.

For example, when the photographed application sign image is input, the entity recognition unit 330 performs entity recognition, generates entity information called 'signage', and provides the entity information to the meaning determination unit 350.

The semantic information database 340 stores semantic information necessary for the semantic determiner 350 to determine the meaning of the object information provided from the object recognizer 330. The semantic information database 340 stores semantic information, Provide semantic information on request.

The semantic judging unit 350 judges the meaning of the object information provided from the object recognizing unit 330.

For example, if 'place name' is defined as the meaning of the object information 'sign' in the semantic information database 340, the semantic determination unit 350 extracts 'sign' as the object information from the object recognition unit 330 If provided, the meaning of that is judged as 'nomination'.

The semantic determiner 350 receives the formal external information provided from the information type determiner 310 and determines the meaning of the received external external information.

At this time, the fixed external information is digitized information, and the entity information for the corresponding information can be automatically recognized. Therefore, since the recognition of the object is not required for the formal external information, it is input to the meaning determination unit 350. [

For example, when a user confirms a subway route map using a smartphone and inputs a subway route map as external information, since the inputted external information includes entity information called a 'subway route map' It is not necessary.

The semantic determination unit 350 provides the determined semantic to the input / output interface 360 so that the input / output interface 360 displays the semantic meaning so that the meaning of the semantic determination unit 350 Can be determined.

In addition, when the semantic determination unit 350 fails, the semantic determination unit 350 provides the input / output interface 360 that the semantic determination is unsuccessful, so that the input / output interface 360 displays the meaningful semantic state, It is possible to know the failure situation.

The input / output interface 360 may display the semantics provided by the semantic determiner 350, and may provide the semantic determiner 350 with semantics input by the user.

In addition, the input / output interface 360 may display a semantic determination failure status provided from the semantic determination unit 350. [

That is, the user can determine whether the meaning displayed through the input / output interface 360 is appropriate or not, and can also confirm the meaning judgment failure state.

In this way, if the semantics are not correctly determined, semantics can be input directly through the input / output interface 250 to be used.

In addition, when the semantic determination is performed correctly, the user can input an application for using the currently determined semantic.

The semantic determiner 240 provides the determined semantic or semantic inputted through the input / output interface 250 to the mapping unit 130 of FIG.

The configuration and configuration of the user database construction system for constructing the user database used in the automatic translation and interpretation system according to the embodiment of the present invention have been described. Hereinafter, an operation of the system for constructing a user database for an automatic translation and interpretation system according to an embodiment of the present invention will be described in detail.

4 is a flowchart illustrating an operation of a system for constructing a user database for an automatic translation and interpretation system according to an embodiment of the present invention.

4 may be performed by the user database construction system 100 described with reference to FIGS. 1 to 3. When external information is input (S400), the system 100 analyzes the inputted external information , Extracts the vocabulary in the external information, and generates the meaning of the external information (S410).

The vocabulary extraction process and the meaning generation process in step S410 will be described later with reference to FIG.

Thereafter, the system 100 maps the extracted vocabulary to the generated meaning, and generates information (mapping information) that is mapped as a pair such as (vocabulary, meaning) (S420).

Then, the system 100 stores the generated mapping information in a database to establish a user database (S430).

FIG. 5 is a flow chart specifically illustrating a word extraction process and a meaning generation process in step S410 shown in FIG.

Referring to FIG. 5, the system 100 determines the type of external information to be input. In this embodiment, it is determined whether the inputted external information is unstructured external information (S411).

If it is determined in step S411 that the external information is unstructured external information (S411: Yes), the system 100 recognizes the character in the unstructured external information (S412) and performs object recognition on the unstructured external information And generates entity information (S413).

Thereafter, the system 100 determines the vocabulary by identifying the recognized character in step S412, and determines the meaning of the object information generated in step S413 (S414).

After step S414, the system 100 displays the determination result, and outputs the vocabulary and the meaning according to the input information corresponding thereto (S415).

Specifically, the system 100 displays the determined vocabulary when the vocabulary determination is successful, and the vocabulary determination failure status when the vocabulary determination fails.

If the semantic determination is successful, the system 100 displays the determined semantic. If the semantic determination is unsuccessful, the system 100 displays the semantic determination failure status.

After displaying the determination result, the system 100 outputs the input vocabulary or meaning, not the determined vocabulary or meaning, when the vocabulary or meaning is inputted.

Then, after displaying the determination result, the system 100 outputs the determined vocabulary and meaning when the application is inputted.

If it is determined in step S411 that the external information is not the unfixed external information (S411: No), that is, if the external information is the external external information, the system 100 determines the vocabulary included in the external external information (S416), and determines the meaning of the formal external information (S417).

Thereafter, the system 100 displays the determination result, and outputs the vocabulary and the meaning according to the input information corresponding thereto (S418).

Specifically, the system 100 displays the determined vocabulary when the vocabulary determination is successful, and the vocabulary determination failure status when the vocabulary determination fails.

If the semantic determination is successful, the system 100 displays the determined semantic. If the semantic determination is unsuccessful, the system 100 displays the semantic determination failure status.

After displaying the determination result, the system 100 outputs the input vocabulary or meaning, not the determined vocabulary or meaning, when the vocabulary or meaning is inputted.

After displaying the determination result, the system 100 outputs the determined vocabulary and the meaning when the application signal is input.

The configuration and operation of the system for constructing a user database for an automatic translation and interpretation system according to an embodiment of the present invention have been described with reference to FIGS. Hereinafter, an automatic translation and interpretation system for performing translation and interpretation using a user database constructed by the user database construction system described with reference to FIGS. 1 to 5 will be described.

FIG. 6 is a diagram illustrating an example of the configuration of an automatic translation and interpretation system according to a preferred embodiment of the present invention, and FIG. 7 is a detailed configuration diagram of the text input device of FIG.

The automatic translation and interpretation system 600 shown in FIG. 6 receives a sentence expressed only in a source language and translates the target language into a target language or receives a sentence expressed in a source language and a target language and translates the target language into a target language.

To this end, the automatic translation and interpretation system 600 includes at least one processor for performing functions and a memory for storing information or performance results necessary for performing functions.

Specifically, the automatic translation and interpretation system 600 includes a system database 610, an interpretation unit 620, a user database 630, and a text input device 640.

The system database 610 stores various types of information for translation and interpretation, and provides information in response to a request from the translator 620. The system database 610 is implemented when the automatic translation and interpretation system 600 is constructed.

The interpretation / translating unit 620 performs a translation and interpretation of the input sentence, and then provides the result of the execution.

In particular, the interpretation / transmission unit 620 in the present invention not only includes the sentence in the source language, but also the text written in the source language and the external information written in the target language, and outputs the translated sentence into the target language.

The system database 610 and the translating / translating unit 620 perform normal functions, and a detailed description thereof will be omitted.

The user database 630 is constructed by the user database building system 100 shown in FIG. 1, and the user database 630 stores external information having a pair of words and meanings.

That is, the user database 630 is implemented by a user after the automatic translation and interpretation system 600 is constructed. The user database 630 is composed of a pair of words in the external information input by the user and the meaning of the external information (a vocabulary, Meaning) external information is stored.

Since the process of storing external information in the user database 630 has been described with reference to FIGS. 1 to 5, a detailed description thereof will be omitted.

Meanwhile, the user database 630 provides external information corresponding to a request from the text input device 640 to the text input device 640.

In this case, the external information stored in the user database 630 may be a vocabulary that does not include a space or a word including a space.

If the external information provided to the text input device 640 is a vocabulary not including a space, the text input device 640 may recognize the vocabulary provided from the user database 630 as a single vocabulary.

However, if the external information provided to the text input device 640 is a vocabulary containing a space, the text input device 640 can recognize one vocabulary provided from the user database 630 as a plurality of vocabularies .

Accordingly, the user database 630 may provide the vocabulary containing the spacing to the text input device 640, and may provide the information that the provided vocabulary is a vocabulary ('lexical section information').

The text input device 640 may generate a sentence composed of text expressed only in the source language according to a request of the user and provide the text to the interpretation / transmission unit 620, or may output the text expressed in the source language and external information expressed in the target language And provides it to the interpretation / translation unit 620.

Specifically, the text input device 640 includes a text input unit 641, a text display unit 642, an external information reference button 643, an external information display unit 644, a completion button 645, and a control unit 646 .

The text input unit 641 includes a text input button and provides text corresponding to a user's instruction to the control unit 646. The text input button of the text input unit 641 may be a physical button or a virtual button.

At this time, the text input through the text input unit 641 is expressed in a source language.

The text display unit 642 displays information provided from the control unit 646. [

The external information reference button 643 outputs a signal corresponding to the user's instruction to the controller 646, and may be a physical button or a virtual button.

For example, when the user presses or touches the external information reference button 643, the external information reference button 643 may output an external information reference signal to the controller 646. [

The external information display unit 644 displays information provided from the control unit 646, and displays external information, for example.

The completion button 645 outputs a signal corresponding to a user's instruction to the control unit 646, and may be a physical button or a virtual button.

For example, when the user is pressed or touched, the completion button 645 may output a completion signal to the control unit 646. [

The control unit 646 receives the text provided from the text input unit 641 and provides the received text to the text display unit 642 so that the text display unit 642 displays the text.

Upon receiving the signal (external information reference signal) provided from the external information reference button 643, the control unit 646 extracts the external information stored in the user database 630, To the information display unit 644, so that the external information display unit 644 displays external information.

At this time, the external information extracted from the user database 630 by the controller 646 is expressed in the target language.

The control unit 646 provides external information selected from the external information displayed on the external information display unit 644 to the text display unit 642 so that the text display unit 642 displays external information.

When the control unit 646 receives the signal (completion signal) provided from the completion button 645, the text input through the text input unit 641 and the external information extracted from the user database 630 are combined And provides it to the translator 620.

The configuration and function of the automatic translation and interpretation system according to the preferred embodiment of the present invention have been described above. Hereinafter, the operation of the automatic translation and interpretation system of the present invention will be described.

8 is a flowchart illustrating an operation of an automatic translation and interpretation system according to an exemplary embodiment of the present invention.

8 can be performed by the automatic translation and interpretation system 600 of FIGS. 6 and 7. When the text is input through the text input unit 641, the automatic translation and interpretation system 600 converts the input text into text Through the display unit 642 (S800).

At this time, the text input through the text input unit 641 is text written in the user's native language, that is, the source language.

When the external information reference button 643 is pressed or touched by the external information reference button 643, that is, when there is an external information reference request, The external information is extracted from the database 630 and displayed on the external information display unit 644 (S810-1).

In this case, after the automatic translation and interpretation system 600 is constructed, the external information stored in the user database 630 is paired with the meaning of the external information in the external information input by the user ).

The external information stored in the user database 630 may be generated by extracting a vocabulary in the external information to be input, generating a meaning of the inputted external information, and mapping the extracted vocabulary to the generated meaning do.

The process of storing external information in the user database 630 will be described with reference to FIGS. 4 and 5, and a detailed description thereof will be omitted.

Thereafter, the automatic translation and interpretation system 600 displays selected external information among the displayed external information on the text display unit 642 (S810-2).

On the other hand, depending on the case, the steps S800 and S810 (including S810-1 and S810-2) may be reversed in sequence or alternately. Also, in some cases, step S810 may not be performed.

If the completion signal is generated from the completion button 645 as the completion button 645 is pressed or touched, that is, if there is a completion request, the automatic translation and interpretation system 600 transmits the completed sentence in the source language to the target language , Or the text written in the source language and the external information written in the target language are combined to translate the completed sentence into the target language (S820).

That is, the automatic translation and interpretation system 600 may interpret the text composed of the text input through the text input unit 641 when the completion request is received, or transmit the text input through the text input unit 641 to the user database 630 ) Is translated into a combination of external information selected from the external information stored in the external information.

For example, suppose that a user uses his / her automatic translation and interpretation system 600 to visit Korea and visit 'Electronics and Telecommunications Research Institute' in English as a native language. At this time, English is the source language and Korean is the target language.

Then, it is assumed that the word 'Korean Electronics and Telecommunications Research Institute' is stored in the user database 630 by the user.

For example, a user whose native language is English can select a location (or a building) in a map displayed on the screen, and select the lexical information (here, Korea Electronics and Telecommunications Research Institute) and the semantic information (here, name). In the worst case, the English native speaker knows that this is a place name or company name, and finally, the name of the company (or place name), which is the semantic information corresponding to the word 'Korea Electronics and Telecommunications Research Institute' tuple) and can be inserted into the user database 630 together.

The user inputs 'Please go to the' using the text input unit 641 and then touches or touches the external information reference button 643 to input external information.

Accordingly, the automatic translation and interpretation system 600 extracts external information from the user database 630 and displays the extracted external information on the external information display unit 644.

When the user selects 'Korean Electronics and Telecommunications Research Institute' among the external information displayed in the external information display unit 644, the selected text 'Korean Electronics and Telecommunications Research Institute' is reflected and displayed on the text display unit 642.

That is, finally, the completed text is displayed on the text display section 642 as follows.

'Please, go to the Korea Electronics and Telecommunications Research Institute'

Next, when the user presses or touches the completion button 645, the automatic translation and interpretation system 600 displays 'Please go to the Korea Electronics and Telecommunications Research Institute' as a translation result.

1 to 3 showing a system for constructing a user database according to an embodiment of the present invention, and blocks of FIGS. 6 and 7 showing an automatic translation and interpretation system according to an embodiment of the present invention, It should be understood as an example embodied in a functional perspective.

Similarly, the operations depicted in FIGS. 4, 5, and 8 are representative of various processes that may be substantially represented on a computer-readable medium and executed by a computer or processor, whether or not the computer or processor is explicitly shown .

Also, the explicit use of terms such as processor, control, or similar concepts should not be interpreted exclusively as hardware capable of executing the software, and may include, without limitation, digital signal processor (DSP) hardware, ROM), random access memory (RAM), and non-volatile memory. Other hardware, of course, may also be included.

As described above, the automatic translation and interpretation system, the method, and the user database construction system for the automatic translation and interpretation system according to the present invention have been described by way of examples. However, the scope of the present invention is not limited to the specific examples. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention.

Therefore, the embodiments described in the present invention and the accompanying drawings are intended to illustrate rather than limit the technical spirit of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments and accompanying drawings . The scope of protection of the present invention should be construed according to the claims, and all technical ideas within the scope of equivalents should be interpreted as being included in the scope of the present invention.

100: user database construction system 110, 200:
120, 300: Meaning generation unit 130:
140: user database 210: information type discrimination unit
220: character recognition unit 230: lexical information database
240: lexical decision unit 250: input / output interface
310: information type discrimination unit 320: object information database
330: entity recognition unit 340: semantic information database
350: Meaning judgment part 360: Input / output interface
600: Automatic translation and interpretation system 610: System database
620: Translating and translating unit 630: User database
640: Text input device 641: Text input part
642: text display section 643: external information reference button
644: External information display part 645: Completion button
646:

Claims (1)

A system for establishing a user database for an automatic translation and interpretation system,
A vocabulary extraction unit for extracting a vocabulary in the inputted external information;
A semantic generation unit for generating semantics for the external information; And
(Vocabulary, semantic) type mapping information by mapping the vocabulary extracted by the vocabulary extraction unit and the meaning generated by the meaning generation unit, and storing the generated mapping information in a database to construct a user database Including a mapping unit
User Database Construction System for Automatic Translation and Interpretation System.

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