TRANSLATION DEVICE AND METHOD

• US 20140350913A1
• Filed: 04/16/2014
• Published: 11/27/2014
• Est. Priority Date: 05/23/2013
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Nagase, Tomoki, Cheng, Yuchang
• Application Number:
  US14/254,226
• Publication Number:
  US 20140350913A1
• Time in Patent Office: Days
• US Class Current: 704/2
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G06F 40/51 Translation evaluation
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation

Abstract

A translation device includes a processor that executes a procedure. The procedure includes: generating plural original text candidates by applying each of plural predetermined different pre-editing rules or rule combinations to an original text expressed in a first language; translating each of the plural original text candidates into respective translated text candidates expressed in a second language, and translating each of the translated text candidates into a respective reverse translated text expressed in the first language; and generating a concept structure expressing a semantic structure of each of the original text candidates and each of the reverse translation texts, and selecting a translated text candidate that corresponds to the original text candidate whose degree of similarity between the concept structure of the original text candidate and the concept structure of the reverse translated text corresponding to the original text candidate is a specific value or greater.

Claims

1. A translation device comprising:

a processor; and

a memory storing instructions that, when executed by the processor, perform a procedure, the procedure including;

generating a plurality of original text candidates by applying each of a plurality of predetermined different pre-editing rules, or rule combinations that are combinations of the pre-editing rules, to an original text expressed in a first language;

translating each of the plurality of original text candidates into respective translated text candidates expressed in a second language different from the first language, and translating each of the translated text candidates into a respective reverse translated text expressed in the first language; and

generating a concept structure expressing a semantic structure of each of the original text candidates and each of the reverse translation texts, and selecting a translated text candidate that corresponds to the original text candidate whose degree of similarity between the concept structure of the original text candidate and the concept structure of the reverse translated text corresponding to the original text candidate is a specific value or greater.

2. The translation device of claim 1, wherein:

when each of the translated text candidates is translated into the respective reverse translation text, each of the plurality of original text candidates is translated into the respective translated text candidate by employing the respective concept structure of each of the original text candidates, and each of the translated text candidates is translated into each of the reverse translated texts by employing the concept structure of the respective reverse translated text.

3. The translation device of claim 1, wherein:

the concept structure includes a plurality of different types of element; and

as the degree of similarity, the number of elements of each of the types included in the concept structure of the respective original text candidate and the concept structure of the respective reverse translated text, and the number of elements of each of the types that differ between the concept structure of the respective original text candidate and the concept structure of the respective reverse translated text, are employed to compute the degree of similarity of the concept structures.

4. The translation device of claim 3, wherein the degree of similarity of concept structures weighted according to the element type is computed as the degree of similarity.

5. The translation device of claim 1, wherein the procedure further comprises:

determining appropriateness of the pre-editing rule or the rule combination that was applied to the original text to generate the original text candidate based on the degree of similarity of the concept structures.

6. The translation device of claim 1, wherein the procedure further comprises:

when selecting a translated text candidate corresponding to the original text candidate, determining appropriateness of a translated text candidate as a translation result based on a degree of similarity between notation of the original text candidate and notation of the reverse translated text corresponding to the original text candidate.

7. A translation method that causes a computer to execute processing, the processing comprising:

generating a plurality of original text candidates by applying each of a plurality of predetermined different pre-editing rules or rule combinations that are combinations of the pre-editing rules to an original text expressed in a first language;

translating each of the plurality of original text candidates into respective translated text candidates expressed in a second language different from the first language, and translating each of the translated text candidates into a respective reverse translated text expressed in the first language; and

generating a concept structure expressing a semantic structure of each of the original text candidates and each of the reverse translation texts, and selecting a translated text candidate with the greatest degree of similarity between the concept structure of the original text candidate and the concept structure of the reverse translated text corresponding to the original text candidate as a default translation.

8. The translation method of claim 7, wherein:

when each of the translated text candidates is translated into the respective reverse translation text, each of the plurality of original text candidates is translated into the respective translated text candidate by employing the respective concept structure of each of the original text candidates, and each of the translated text candidates is translated into each of the reverse translated texts by employing the concept structure of the respective reverse translated text.

9. The translation method of claim 7, wherein:

the concept structure includes a plurality of different types of element; and

as the degree of similarity, the number of elements of each of the types included in the concept structure of the respective original text candidate and the concept structure of the respective reverse translated text, and the number of elements of each of the types that differ between the concept structure of the respective original text candidate and the concept structure of the respective reverse translated text, are employed to compute the degree of similarity of the concept structures.

10. The translation method of claim 9, wherein the degree of similarity of concept structures weighted according to the element type is computed as the degree of similarity.

11. The translation method of claim 7, wherein the method further comprises:

determining appropriateness of the pre-editing rule or the rule combination that was applied to the original text to generate the original text candidate based on the degree of similarity of the concept structures.

12. The translation method of claim 7, wherein the method further comprises:

when selecting a translated text candidate corresponding to the original text candidate, determining appropriateness of a translated text candidate as a translation result based on a degree of similarity between notation of the original text candidate and notation of the reverse translated text corresponding to the original text candidate.

13. A computer-readable recording medium having stored therein a program for causing a computer to execute a translation process, the process comprising:

generating a plurality of original text candidates by applying each of a plurality of predetermined different pre-editing rules or rule combinations that are combinations of the pre-editing rules to an original text expressed in a first language;

translating each of the plurality of original text candidates into respective translated text candidates expressed in a second language different from the first language, and translating each of the translated text candidates into a respective reverse translated text expressed in the first language; and

generating a concept structure expressing a semantic structure of each of the original text candidates and each of the reverse translation texts, and selecting a translated text candidate with the greatest degree of similarity between the concept structure of the original text candidate and the concept structure of the reverse translated text corresponding to the original text candidate as a default translation.

14. The computer-readable recording medium of claim 13, wherein in the translation process:

when each of the translated text candidates is translated into the respective reverse translation text, each of the plurality of original text candidates is translated into the respective translated text candidate by employing the respective concept structure of each of the original text candidates, and each of the translated text candidates is translated into each of the reverse translated texts by employing the concept structure of the respective reverse translated text.

15. The computer-readable recording medium of claim 13, wherein in the translation process:

the concept structure includes a plurality of different types of element; and

as the degree of similarity, the number of elements of each of the types included in the concept structure of the respective original text candidate and the concept structure of the respective reverse translated text, and the number of elements of each of the types that differ between the concept structure of the respective original text candidate and the concept structure of the respective reverse translated text, are employed to compute the degree of similarity of the concept structures.

16. The computer-readable recording medium of claim 15, wherein in the translation process, the degree of similarity of concept structures weighted according to the element type is computed as the degree of similarity.

17. The computer-readable recording medium of claim 13, wherein the translation process further comprises:

determining appropriateness of the pre-editing rule or the rule combination that was applied to the original text to generate the original text candidate based on the degree of similarity of the concept structures.

18. The computer-readable recording medium of claim 13, wherein the translation process further comprises:

when selecting a translated text candidate corresponding to the original text candidate, determining appropriateness of a translated text candidate as a translation result based on a degree of similarity between notation of the original text candidate and notation of the reverse translated text corresponding to the original text candidate.