Content adaptation techniques for localization of content presentation
Techniques for localization of a content presentation in an information processing system are provided. In one example, a method adapts translated content to accommodate an original content design structure (e.g., wireframe) when such translated content is inconsistent with the original content design structure. In another example, a method adapts the original content design structure when translated content is inconsistent with the original content design structure. In yet another example, an image analysis method is used to adapt translated content determined to be inconsistent with the original content design structure.
1. A system, comprising:
at least one processing device comprising a processor operatively coupled to a memory, wherein the at least one processing device, for a given content presentation, is configured to:
obtain content in a source language and a content design structure that is consistent with the source language content;
translate the source language content to content in at least one destination language;
evaluate the translated content for one or more inconsistencies with respect to the content design structure;
identify one or more inconsistent portions of the translated content with respect to the content design structure;
generate one or more alternative translated versions in the at least one destination language for the one or more inconsistent portions of the translated content, the alternative translated versions each having a same or similar meaning to the one or more inconsistent portions of the translated content;
select a given alternative translated version of the translated content consistent with the content design structure; and
replace, in the content design structure, the given alternative translated version of the translated content for the one or more inconsistent portions of the translated content.
2. The system of claim 1 , wherein evaluating the translated content for one or more inconsistencies with respect to the content design structure further comprises determining one or more dimensions associated with components of the content design structure for which a portion of the translated content is out of scope.
3. The system of claim 2 , wherein a portion of translated content is out of scope when the portion of translated content is one of truncated and misaligned in the content design structure as compared with the corresponding portion of source language content.
4. The system of claim 1 , wherein the at least one processing device is further configured to:
support multiple destination languages; and
determine a destination language from the multiple destination languages that is most consistent with the content design structure.
5. The system of claim 1 , wherein the content presentation localized for the at least one destination language is at least one web page.
6. The system of claim 1 , wherein the content in the source language comprises one or more of text, an image and a design element.
7. The system of claim 1 , wherein generating one or more alternative translated versions in the at least one destination language comprises using a natural language processing pipeline.
8. A method, comprising:
obtaining, for a given content presentation, content in a source language and a content design structure that is consistent with the source language content;
translating the source language content to content in at least one destination language;
evaluating the translated content for one or more inconsistencies with respect to the content design structure;
identifying one or more inconsistent portions of the translated content with respect to the content design structure;
generating one or more alternative translated versions in the at least one destination language for the one or more inconsistent portions of the translated content, the alternative translated versions each having
a same or similar meaning to the one or more inconsistent portions of the translated content;
selecting a given alternative translated version of the translated content consistent with the content design structure; and
replacing, in the content design structure, the given alternative translated version of the translated content for the one or more inconsistent portions of the translated content;
wherein the steps are performed by at least one processing device comprising a processor operatively coupled to a memory.
9. The method of claim 8 , wherein evaluating the translated content for one or more inconsistencies with respect to the content design structure further comprises determining one or more dimensions associated with components of the content design structure for which a portion of the translated content is out of scope.
10. The method of claim 9 , wherein a portion of translated content is out of scope when the portion of translated content is one of truncated and misaligned in the content design structure as compared with the corresponding portion of source language content.
11. The method of claim 8 , further comprising determining a destination language from multiple destination languages that is most consistent with the content design structure.
12. The method of claim 8 , wherein the content presentation localized for the at least one destination language is at least one web page.
13. The method of claim 8 , wherein the content in the source language comprises one or more of text, an image and a design element.
14. The method of claim 8 , wherein generating one or more alternative translated versions in the at least one destination language comprises using a natural language processing pipeline.
15. An article of manufacture comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to perform steps of:
obtaining, for a given content presentation, content in a source language and a content design structure that is consistent with the source language content;
translating the source language content to content in at least one destination language;
evaluating the translated content for one or more inconsistencies with respect to the content design structure;
identifying one or more inconsistent portions of the translated content with respect to the content design structure;
generating one or more alternative translated versions in the at least one destination language for the one or more inconsistent portions of the translated content, the alternative translated versions each having
a same or similar meaning to the one or more inconsistent portions of the translated content;
selecting a given alternative translated version of the translated content consistent with the content design structure; and
replacing, in the content design structure, the given alternative translated version of the translated content for the one or more inconsistent portions of the translated content.
16. The article of claim 15 , wherein evaluating the translated content for one or more inconsistencies with respect to the content design structure further comprises determining one or more dimensions associated with components of the content design structure for which a portion of the translated content is out of scope.
17. The article of claim 16 , wherein a portion of translated content is out of scope when the portion of translated content is one of truncated and misaligned in the content design structure as compared with the corresponding portion of source language content.
18. The article of claim 15 , wherein the at least one processing device is further configured to perform steps of:
supporting multiple destination languages; and
determining a destination language from the multiple destination languages that is most consistent with the content design structure.
19. The article of claim 15 , wherein the content presentation localized for the at least one destination language is at least one web page.
20. The article of claim 15 , wherein generating one or more alternative translated versions in the at least one destination language comprises using a natural language processing pipeline.