JPH04178767A - Electronic dictionary retrieval method - Google Patents

Abstract

PURPOSE:To easily take out objective information by performing morpheme analysis and performing the interpretative sentence taking-out operation or/and the translated word taking-out operation to display the narrowed-down retrieval result in the case of inclusion of a character string for retrieval information narrowing-down. CONSTITUTION:When a key word in a first natural language is inputted from an input part 1, a dictionary retrieving part 2 retrieves data in a second natural language corresponding to the key word from an electronic language correspondence dictionary 3, and a morpheme analyzing part 4 takes the taken-out data and the character string for retrieval information narrowing-down as the object to perform collation with a word as the unit by the morpheme analysis function. A narrowing-down part 5 uses the word attribute of the word included in the character string for retrieval information narrowing-down to perform retrieval, and retrieved information is outputted to an output part 6 and is displayed on a picture. Thus, the character string other than the key word is only designated to easily take out objective information, and related information is taken out without omission.

Description

[Detailed Description of the Invention] [Object of the Invention] (Industrial Application Field) The present invention relates to a search method for an electronic language-contrastive dictionary, and in particular can efficiently acquire target translations and usage examples. This invention relates to an electronic dictionary search method.

(Prior Art) With the development of electronic technology, automatic translation devices that use computers to translate a first natural language into a second natural language are now in practical use. In such an automatic translation device, an electronic language dictionary is installed on a computer, and when a first natural language is inputted using a keyboard, etc., a corresponding second natural language is searched from the electronic language dictionary and output. do.

The conventional electronic dictionary search method for electronic language comparison dictionaries stored on computers used when translating this first natural language into a second natural language uses basic words (
When a key word (hereinafter referred to as a key word) is specified, a widely used method is to search for all its translations, interpretations, and examples and display them on a display. Thereafter, the user selects the desired translation by visually checking the results displayed for the input key word.

(Question B that the invention seeks to solve) However, with the conventional technology, even when searching a dictionary to check how to use a translated word, all information for the key word is displayed, There is a problem in that it takes time to reach the information. Another problem is that if the interpretation text is long or contains many examples, it is easy to overlook it.

The second invention aims to eliminate the drawbacks of the above-mentioned prior art, and its purpose is to specify a character string for narrowing down search information, thereby making it possible to easily retrieve the desired information. The object of the present invention is to provide an electronic dictionary search method. Another object of the present invention is to use the word attributes of words included in the character string for narrowing down search information to extract all relevant information from an interpretation sentence, regardless of its length or number of examples. To provide an electronic dictionary search method that enables the user to search for an electronic dictionary without taking much time to reach the desired information.

[Structure of the invention]

(Means for Solving the Problems) The electronic dictionary search method of the present invention that achieves the above object is as follows:
A search method for an electronic language comparison dictionary stored on a computer used when translating a first natural language into a second natural language. At the stage of retrieving the data of word interpretations and usage examples from the electronic language comparison dictionary, and when the character string for narrowing down the search information is specified, the first natural language is The processing system performs morphological analysis, and if the interpretation includes a character string for narrowing down the search information, the interpretation and the corresponding translation/example are extracted, and the first natural language part of the example is extracted. Perform the same process on the target, and if the search information narrowing string is included, extract the interpretation or translation, or both, and display the narrowed down search results. It is characterized by having stages.

In addition, the second form is characterized in that, at the stage of performing morphological analysis, the word attributes of words included in the character string for narrowing down search information are detected, and this word attribute is automatically used as information for narrowing down search information. It is said that

(Operation) According to the first form of this electronic dictionary search method, by specifying a character string for narrowing down the search information, the morphological analysis function uses the retrieved data and the character string for narrowing down the search information to search for words. Matching is performed on a unit-by-unit basis, and erroneous extraction is prevented even when a specified character string happens to appear across words.

Moreover, according to the second form of this electronic dictionary search method,
A search is performed using the word attributes of the words included in the string for narrowing down the search information, and relevant and appropriate information is retrieved, regardless of the length or number of examples used in the interpretation sentence.

(Example) Hereinafter, the present invention will be described in detail by way of an example with reference to the drawings.

FIG. 1 is a basic block diagram of an electronic dictionary search system to which the present invention is applied. In the figure, 1 is the human resources department, 2
3 indicates a dictionary search section, 3 indicates an electronic language comparison dictionary, 4 indicates a morphological analysis section, 5 indicates a narrowing section, and 6 indicates an output section. This electronic dictionary search system is configured on, for example, an electronic computer, and the input section l is a keyboard, and the dictionary search section 2
The morphological analysis section 4 and the narrowing down section 5 correspond to programs on the CPU, the electronic language comparison dictionary 3 corresponds to an external storage device, and the output section 6 corresponds to a display.

In the system configured as described above, when a first natural language key word is input from the input unit 1, the dictionary search unit 2 retrieves a second natural language corresponding to the key word from the electronic language comparison dictionary 3.
The morphological analysis unit 4 uses the morphological analysis function to perform a word-by-word comparison between the retrieved data and character strings for narrowing down the search information, and the narrowing unit 5 searches for data in the natural language. A search is performed using the word attributes of the words included in the character string, and search information is output to the output unit 6.

This word attribute includes, for example, "he", "president", "worker", etc. in the category of (person).
This can be specified directly as narrowing information.

Next, this operation in the system shown in FIG. 1 will be explained in the case where "group" is read from the input unit 1 as a key word. At this time, it is assumed that the dictionary search unit 2 searches the electronic language comparison dictionary 3 and obtains a search result as shown in FIG. Then, regarding the output information in the electronic dictionary search method of the present invention when the search results are word-divided by the morphological analysis unit 4, various character strings for narrowing down information are read from the input unit 1. explain.

(1) Behavior when "person" is specified In this case, it can be seen from the results of morphological analysis that the second line of the word interpretation sentence in the search result contains the word "person", so it is shown in Figure 2. From the search results, the first line, which is a general translated word without an interpretation, and the second line, which is the narrowed down result, are displayed. That is, a screen as shown in FIG. 3 is displayed.

(2) Operation when "beast" is specified In this case, the morphological analysis results show that the third and fourth lines of the word interpretation in the search result contain the word "beast", so the word "beast" is specified. From the search results shown in Figure 2, the first line, which is a general translated word with no interpretation, and the third and fourth lines, which are the narrowed down results, are displayed.

Furthermore, from the morphological analysis results, it is determined that the word attribute of "beast" is a "mammal animal", and since "tiger" in the example usage in line 10 of Figure 2 is also a "mammal animal", It will be extracted. As a result, a screen as shown in FIG. 4 is displayed.

(3) Operation when "worker" is specified In this case, it can be determined from the result of morphological analysis that the word "worker" is not included in the word translation of the search result. Also, from the results of morphological analysis of "worker", it can be seen that it has the word attribute of "worker". Therefore, this time, we search for a part that includes a word with the word attribute of (person) from the word division results of the word interpretation sentence at the end of the search. As a result, since "person" and "mob" in the second line each have the (person) word attribute, the first line, which is the interpretation of the word "-funatsuri," and the second line, which is the narrowed-down result, are displayed. . In this case as well, the same search results as in the first example, that is, the screen shown in FIG. 3 will be displayed.

In the above example, the explanation was given as specifying the key word "group" and then specifying the character string for narrowing down, but "(
A similar effect can be obtained when key words and narrowing information are simultaneously input as in a group J of people.

In this way, according to the electronic dictionary search method of the present invention,
Since the morphological analysis function performs matching on a word-by-word basis, it is possible to prevent erroneous extraction even when a specified character string appears by chance across words. For example, when specifying "grip", erroneous extraction such as "he has a strong grip" will no longer occur.

[Effects of the Invention] As described above, according to the electronic dictionary search method of the present invention, it is possible to not only easily retrieve target information by simply specifying a character string other than a key word, but also to retrieve related information. It is possible to extract certain information without omission. In addition, the morphological analysis function not only prevents erroneous extraction, but also allows related information to be extracted using word attributes.

[Brief explanation of the drawing]

FIG. 1 is a basic block diagram of an electronic dictionary search system to which the present invention is applied. FIG. 2 is a screen diagram showing an example of the search results of the electronic language comparison dictionary for the key word "group". Figure 4 is a screen diagram showing output information when a character string for narrowing down information consisting of an input section is read after a search result as shown in Figure 2. FIG. 7 is a screen diagram showing output information when another character string for narrowing down information is read from the section. DESCRIPTION OF SYMBOLS 1... Input part, 2... Dictionary search part, 3... Electronic language comparison dictionary, 4... Morphological analysis part, 5... Narrowing down part, 6... Output part. Private Patent Attorney Hidekazu Miyoshi Figure 1

Claims (1)

[Scope of Claims] 1. A search method for an electronic language comparison dictionary stored on a computer used when translating a first natural language into a second natural language, comprising: searching for translated words for specified key words; - At the stage of retrieving the data of word interpretations and usage examples from the electronic language comparison dictionary, and when the character string for narrowing down the search information is specified, the first stage is performed for the retrieved data and the character string for narrowing down the search information
morphological analysis using the natural language processing system; and, if the interpretation includes character strings for narrowing down the search information, the operation of extracting the interpretation and the corresponding translated word/example;
A similar process is performed on the first natural language part of the example, and if a string for narrowing down the search information is included, an action is taken to extract the interpretation or translation, or both. a step of displaying search results narrowed down by the search results. 2. In the step of performing morphological analysis, word attributes of words included in a character string for narrowing down search information are detected, and this word attribute is automatically used as information for narrowing down search information. The electronic dictionary search method described.