Method and apparatus for translating one species of a generic language into another species of a generic language

• US 20030061026A1
• Filed: 08/30/2002
• Published: 03/27/2003
• Est. Priority Date: 08/30/2001
• Status: Abandoned Application

• Current Assignee: Dent B. Eric, John A. Buck, Stuart A. Umpleby
• Original Assignee: Dent B. Eric, John A. Buck, Stuart A. Umpleby
• Inventors: Buck, John A., Eric, Dent B., Umpleby, Stuart A.
• Application Number:
  US10/231,142
• Publication Number:
  US 20030061026A1
• Time in Patent Office: Days
• US Class Current: 704/8
• CPC Class Codes: G06F 40/47 Machine-assisted translation, e.g. using translation memory
• CPC Class Codes: G06F 40/55 Rule-based translation

Abstract

A method and apparatus for translating includes translating data of one species of a generic language into data of another species of the same generic language. Furthermore the method and apparatus may translate data of a species of a first generic language into data of a species of a second generic language.

Claims

1. A computer-implemented method of translating at least a portion of data of a first species of a generic language into data of a second species of the generic language, said computer-implemented method comprising:

receiving input data of a first species of a generic language;

dividing the input data into a plurality of first data portions;

accessing a memory having a data structure stored therein, the data structure comprising first species data portions and second species data portions corresponding to the first species data portions, respectively

determining which of the plurality of first data portions are first species data portions;

replacing one of the first data portions, that is one of the first species data portions, with a second species data portion that corresponds to the one of the first species data portions to obtain a modified plurality of data portions;

combining the modified plurality of data portions as output data; and

outputting the output data.

2. The computer-implemented method of claim 1, wherein the data structure further comprises correspondence data portions indicating correspondence between the first species data portions and respective second species data portions, and

wherein said replacing the one of the first data portions comprises accessing a correspondence data portion to determine the corresponding second species data portion.

3. The computer-implemented method of claim 1, wherein said dividing the input data comprises dividing the input data into a plurality of individual words.

4. The computer-implemented method of claim 1, wherein said dividing the input data comprises dividing the input data into a plurality of individual phrases, each of the phrases comprising a plurality of words.

5. The computer-implemented method of claim 1, wherein said accessing the memory comprises accessing a lookup table in the memory, the lookup table comprising a first species data section for storing the first species data portions as a plurality of first species data items, a second species data section for storing the second species data portions as a plurality of second species data items, and a correspondence section for storing correspondence data portions as correspondence data items indicating correspondence between the first species data items and the second species data items.

6. The computer-implemented method of claim 1, further comprising replacing all of the first data portions, that are of the first species data portions, with second species data portions that correspond to the first species data portions, respectively, to obtain the modified plurality of data portions.

7. A computer system configured to translate a first species of a generic language into a second species of the generic language, said computer system comprising:

a processor; and

a memory coupled to said processor, said memory having stored therein a data structure comprising first species data portions, second species data portions corresponding to the first species data portions, respectively, and processor readable instructions that enable said processor to,

receive input data of a first species of a generic language,

divide the input data into a plurality of first data portions,

access said memory,

determine which of the plurality of first data portions are first species data portions,

replace one of the first data portions, that is one of the first species data portions, with a second species data portion that corresponds to the one of the first species data portions to obtain a modified plurality of data portions,

combine the modified plurality of data portions as output data, and

output the output data.

8. The computer system of claim 7, wherein the data structure further comprises correspondence data portions indicating correspondence between the first species data portions and respective second species data portions, and

wherein the processor readable instructions that enable said processor to replace the one of the first data portions comprises processor readable instructions that enable the processor to access a correspondence data portion to determine the corresponding second species data portion.

9. The computer system of claim 7, wherein said memory includes a processor readable instruction that enables said processor to divide the input data into a plurality of individual words.

10. The computer system of claim 7, wherein said memory includes a processor readable instruction that enables said processor to divide the input data into a plurality of individual phrases, each of the phrases comprising a plurality of words.

11. The computer system of claim 7, wherein the data structure comprises a lookup table including a first species data section for storing the first species data portions as a plurality of first species data items, a second species data section for storing the second species data portions as a plurality of second species data items, and a correspondence section for storing correspondence data portions as correspondence data items indicating correspondence between the first species data items and the second species data items.

12. The computer system of claim 7, wherein said memory includes a processor readable instruction that enables said processor to replace all of the first data portions, that are of the first species data portions, with second species data portions that correspond to the first species data portions, respectively, to obtain the modified plurality of data portions.

13. A computer system comprising:

a memory having a data structure stored therein, the data structure comprising first species data portions and second species data portions corresponding to the first species data portions, respectively,

an input unit operable to provide input data of a first species of a generic language;

a processor operable to receive the input data from said input unit, to divide the input data into a plurality of first data portions, to access said memory, to determine which of the plurality of first data portions are first species data portions, to replace one of the first data portions, that is one of the first species data portions, with a second species data portion that corresponds to the one of the first species data portions to obtain a modified plurality of data portions, and to combine the modified plurality of data portions as output data; and

an output unit operable to output the output data.

14. The computer system of claim 13, wherein the data structure further comprises correspondence data portions indicating correspondence between the first species data portions and respective second species data portions, and

wherein said processor is operable to replace the one of the first data portions by accessing a correspondence data portion to determine the corresponding second species data portion.

15. The computer system of claim 13, wherein said processor is operable to divide the input data into a plurality of individual words.

16. The computer system of claim 13, wherein said processor is operable to divide the input data into a plurality of individual phrases, each of the phrases comprising a plurality of words.

17. The computer system of claim 13, wherein the data structure comprises a lookup table comprising a first species data section for storing the first species data portions as a plurality of first species data items, a second species data section for storing the second species data portions as a plurality of second species data items, and a correspondence section for storing correspondence data portions as a plurality of correspondence data items indicating correspondence between the first species data items and the second species data items.

18. The computer system of claim 13, wherein said processor is operable to replace all of the first data portions, that are of the first species data portions, with second species data portions that correspond to the first species data portions, respectively, to obtain the modified plurality of data portions.

19. A computer-readable medium having stored thereon a data structure comprising first species data portions, second species data portions corresponding to the first species data portions, respectively, and computer readable instructions that enable the computer to:

receive input data of a first species of a generic language;

divide the input data into a plurality of first data portions;

access the data structure;

determine which of the plurality of first data portions are first species data portions;

replace one of the first data portions, that is one of the first species data portions, with a second species data portion that corresponds to the one of the first species data portions, to obtain a modified plurality data portions;

combine the modified plurality of data portions as output data; and

output the output data.

20. The computer-readable medium of claim 19, wherein the data structure further comprises correspondence data portions indicating correspondence between the first species data portions and respective second species data portions, and

wherein the computer readable instructions that enable the computer to replace the one of the first data portions comprises computer readable instructions that enable the computer to access a correspondence data portion to determine the corresponding second species data portion.

21. The computer-readable medium of claim 19, wherein the computer readable instructions include a computer readable instruction that enables the processor to divide the input data into a plurality of individual words.

22. The computer-readable medium of claim 19, wherein the computer readable instructions include a computer readable instruction that enables the processor to divide the input data into a plurality of individual phrases, each of the phrases comprising a plurality of words.

23. The computer-readable medium of claim 19, wherein the data structure comprises a lookup table including a first species data section for storing the first species data portions as a plurality of first species data items, a second species data section for storing the second species data portions as a plurality of second species data items, and a correspondence section for storing correspondence data portions as a plurality of correspondence data items indicating correspondence between the first species data items and the second species data items.

24. The computer-readable medium of claim 19, wherein the computer readable instructions include a computer readable instruction that enables the processor to replace all of the first data portions, that are of the first species data portions, with second species data portions that correspond to the first species data portions, respectively, to obtain the modified plurality of data portions.

25. A method of translating data of a first species of a first generic language into data of a first species of a second generic language, said method comprising:

translating data of a first species of a first generic language into data of a second species of the first generic language;

translating the data of the second species of the first generic language into data of a second species of a second generic language; and

translating the data of the second species of the second generic language into data of a first species of the second generic language.