Machine Translation Using Vector Space Representations

• US 20100268526A1
• Filed: 06/28/2010
• Published: 10/21/2010
• Est. Priority Date: 04/26/2005
• Status: Abandoned Application

• Current Assignee: Roger Burrowes Bradford
• Original Assignee: Roger Burrowes Bradford
• Inventors: BRADFORD, Roger Burrowes
• Application Number:
  US12/825,039
• Publication Number:
  US 20100268526A1
• Time in Patent Office: Days
• US Class Current: 704/2
• CPC Class Codes: G06F 40/42 Data-driven translation

Abstract

Disclosed herein are methods, articles of manufacture, and systems for translating text. Such a method includes generating a conceptual representation space based on a plurality of source-language documents and a plurality of target-language documents. The method also includes generating, in the conceptual representation space, respective representations of a new source-language document and each of a plurality of dictionaries. The method further includes selecting a first dictionary from the plurality of dictionaries responsive to a similarity between the representation of the new source-language document and the representation of the first dictionary. The method still further includes translating, by using the first dictionary, a term in the new source-language document into a target-language term.

Claims

1. A computer-implemented method for translating text, comprising:

generating a conceptual representation space based on a plurality of source-language documents and a plurality of target-language documents;

generating, in the conceptual representation space, respective representations of a new source-language document and each of a plurality of dictionaries;

selecting a first dictionary from the plurality of dictionaries responsive to a similarity between the representation of the new source-language document and the representation of the first dictionary; and

translating, by using the first dictionary, a term in the new source-language document into a target-language term.

2. The method of claim 1, wherein generating a representation of each of the plurality of dictionaries comprises:

concatenating terms in each of the plurality of dictionaries into a single text object; and

generating a representation of the single text object in the conceptual representation space.

3. The method of claim 1, wherein generating a representation of each of the plurality of dictionaries comprises:

subdividing each of the plurality of dictionaries into conceptually cohesive segments;

generating a text object for each conceptually cohesive segment; and

generating a representation of each text object in the conceptual representation space.

4. The method of claim 1, wherein the conceptual representation space is a Latent Semantic Indexing (LSI) space.

5. The method of claim 1, further comprising:

determining respective similarities between the representation of the new source-language document and the representation of each of the plurality of dictionaries.

6. The method of claim 5, wherein the similarity between the representation of the new source-language document and the representation of the first dictionary is greater than the other similarities.

7. A computer-program product comprising a computer-readable storage medium having instructions stored thereon that, if executed by a computing device, cause the computing device to perform a method for translating text, the method comprising:

generating a conceptual representation space based on a plurality of source-language documents and a plurality of target-language documents;

generating, in the conceptual representation space, respective representations of a new source-language document and each of a plurality of dictionaries;

selecting a first dictionary from the plurality of dictionaries responsive to a similarity between the representation of the new source-language document and the representation of the first dictionary; and

translating, by using the first dictionary, a term in the new source-language document into a target-language term.

8. The computer-program product of claim 7, wherein generating a representation of each of the plurality of dictionaries comprises:

concatenating terms in each of the plurality of dictionaries into a single text object; and

generating a representation of the single text object in the conceptual representation space.

9. The computer-program product of claim 7, wherein generating a representation of each of the plurality of dictionaries comprises:

subdividing each of the plurality of dictionaries into conceptually cohesive segments;

generating a text object for each conceptually cohesive segment; and

generating a representation of each text object in the conceptual representation space.

10. The computer-program product of claim 7, wherein the conceptual representation space is a Latent Semantic Indexing (LSI) space.

11. The computer-program product of claim 7, wherein the method further comprises:

determining respective similarities between the representation of the new source-language document and the representation of each of the plurality of dictionaries.

12. The computer-program product of claim 11, wherein the similarity between the representation of the new source-language document and the representation of the first dictionary is greater than the other similarities.

13. A computing system, comprising:

a memory; and

a processor coupled to the memory, wherein the processor is configured to execute a method for translating text, the method comprising;

generating a conceptual representation space based on a plurality of source-language documents and a plurality of target-language documents;

generating, in the conceptual representation space, respective representations of a new source-language document and each of a plurality of dictionaries;

selecting a first dictionary from the plurality of dictionaries responsive to a similarity between the representation of the new source-language document and the representation of the first dictionary; and

translating, by using the first dictionary, a term in the new source-language document into a target-language term.

14. The computing system of claim 13, wherein generating a representation of each of the plurality of dictionaries comprises:

concatenating teens in each of the plurality of dictionaries into a single text object; and

generating a representation of the single text object in the conceptual representation space.

15. The computing system of claim 13, wherein generating a representation of each of the plurality of dictionaries comprises:

subdividing each of the plurality of dictionaries into conceptually cohesive segments;

generating a text object for each conceptually cohesive segment; and

generating a representation of each text object in the conceptual representation space.

16. The computing system of claim 13, wherein the conceptual representation space is a Latent Semantic Indexing (LSI) space.

17. The computing system of claim 13, wherein the method further comprises:

determining respective similarities between the representation of the new source-language document and the representation of each of the plurality of dictionaries;

18. The computing system of claim 17, wherein the similarity between the representation of the new source-language document and the representation of the first dictionary is greater than the other similarities.