System and method for generating a target language markup language text template

• US 7,577,561 B2
• Filed: 11/09/2004
• Issued: 08/18/2009
• Est. Priority Date: 11/09/2004
• Status: Expired

• Current Assignee: Daybreak Game Company, LLC (Enad Global 7 AB)
• Original Assignee: Sony Online Entertainment LLC (Enad Global 7 AB)
• Inventors: Mauer, William M., Riley, Steven J., McEntee, Robert A.
• Primary Examiner(s): Hudspeth; David R
• Assistant Examiner(s): Jackson; Jakieda R
• Application Number:
  US10/985,338
• Publication Number:
  US 20060100847A1
• Time in Patent Office: 1,743 Days
• Field of Search: 704/4
• US Class Current: 704/4
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
• CPC Class Codes: G06F 40/154 Tree transformation for tree-structured or markup documents, e.g. XSLT, XSL-FO or stylesheets
• 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 system and method of generating a target language markup language (ML) text template comprise translating one or more words in a source language ML text template to one or more words in the target language so as to generate a target language ML text template, and defining a target language localized template for the target language ML text template using the translated words. The method may also include adding and modifying metadata for variant text associated with a source language text string according to attributes of a target language, wherein the target language localized template is defined using the modified metadata in addition to the translated words.

Claims

1. A computer-implemented method of generating a target language localized template, the method comprising:

creating a source language markup language (ML) text template based on a source language text string, said source language ML text template including at least one token, wherein the at least one token includes;

a token operator assigned to a variable text element included in the source language text string, wherein a first symbol is designated as said token operator, and wherein the first symbol corresponds to a predefined source language grammar rule, and

a token operand assigned to the variable text element, wherein a second symbol is designated as said token operand, and wherein the second symbol corresponds to a predefined context type;

translating one or more words in the source language ML text template to one or more words in a target language so as to generate a target language ML text template,

wherein the target language ML text template is generated by at least one translation tool residing in at least one of a client computer and a server computer;

wherein said target language ML text template includes said token operator; and

defining the target language localized template for the target language ML text template using the translated words.

2. The method of claim 1, further comprising adding and modifying metadata for variant text associated with a source language text string according to attributes of a target language, wherein the target language localized template is defined using the modified metadata in addition to the translated words.

3. The method of claim 1, further comprising modifying the target language localized template with supplemental information, wherein the supplemental information includes at least one of supplemental details and supplemental directives.

4. The method of claim 3, wherein the supplemental details include details as to gender, count information specified by another operand, and identification of conversational roles, including roles as first person, second person, and third person.

5. The method of claim 3, wherein the supplemental directives include directives for applying stored grammatical rules for the target language.

6. The method of claim 1, further comprising verifying the accuracy of the target language ML text template, and target language localized template.

7. The method of claim 1, wherein the predefined context type comprises at least one of number, gender, type, honor, age, and faction.

8. The method of claim 1, wherein the target language localized template comprises instructions for reorganization and grammatical agreement of parts of speech for the target language based on the source language and context.

9. The method of claim 1, wherein the predefined context type includes actor, target, pet, master, current speaker, current listener, numbered argument, and pointer.

10. A system for generating a markup language (ML) text template in a target language based at least in part on a corresponding ML text template in a source language, the system comprising:

a processor

a display coupled to the processor for displaying a text string in a source language by a source language text string input section;

the display also displaying a variable text element as input by a user by a variable text input section, the variable text element representing a word or phrase in the target language;

and displaying a target language ML text template as input by a user by a target language ML text template input section,

wherein said target language ML text template includes at least one token, the token including a token operator and a token operand, the token operator representing the variable text element, and the token operand representing a context type,

wherein the target language ML text template is generated by at least one translation tool residing in at least one of a client computer and a server computer

wherein the token operator is designated by a first symbol corresponding to a predefined grammar rule,

wherein the token operand is designated by a second symbol corresponding to a predefined context type;

said display configured to display at least one context element as input by the user for expansion of the target language ML text template by at least one context input section; and

to display a text string in the target language by a target language text string output section, wherein the target language text string is generated by the processor based on an expansion of the target language ML text template using the variable text and at least one context element.

11. The system of claim 10, wherein the variable text input section is further configured to display metadata for the variable text element as input by the user, and wherein the target language text string is generated based at least in part on the metadata.

12. The system of claim 10, wherein the at least one context element includes at least one of number, gender, type, honor, age, and faction.

13. The system of claim 10, wherein the at least one context element is selectable by a user from a list.

14. The system of claim 10, wherein the target language ML text template comprises a plurality of arguments identified by alphanumeric symbols, wherein each argument corresponds to a variable text, wherein the user interface further comprises an argument selection input section configured to display the alphanumeric symbol identifying the argument corresponding to the variable text displayed in the variable text input section.

15. A system for generating a target language localized template, the system comprising:

a user input device;

a processor configured to create a source language markup language (ML) text template based on input through the user input device a source language text string, said source language ML text template including at least one token, wherein the at least one token includes;

a token operator assigned to a variable text element included in the source language text string, wherein a first symbol is designated as said token operator, and wherein the first symbol corresponds to a predefined source language grammar rule, and

a token operand assigned to the variable text element, wherein a second symbol is designated as said token operand, and wherein the second symbol corresponds to a predefined context type;

a translator configured to translate one or more words in the source language ML text template to one or more words in a target language so as to generate a target language ML text template,

wherein said target language ML text template includes said token operator; and

define the target language localized template for the target language ML text template using the translated words.

16. The system of claim 15, further comprising

add and modify metadata for variant text associated with a source language configured to be added and modified text string according to attributes of a target language, wherein the modified metadata is used to define the target language localized template.

17. The system of claim 15, further comprising

the target language localized template with configured to be modified supplemental information, wherein the supplemental information includes at least one of supplemental details and supplemental directives.

18. The system of claim 15, further comprising

a verification module to verify the accuracy of the target language ML text template, and target language localized template.

19. The system of claim 15, wherein the predefined context type comprises at least one of number, gender, type, honor, age, and faction.

20. The system of claim 15, wherein the target language localized template comprises instructions for reorganization of parts of speech and grammatical agreement for the target language based on the source language and context.

21. The system of claim 15, wherein the predefined context type includes actor, target, pet, master, current speaker, current listener, numbered argument, and pointer.