# US 11,443,122 B2 · Image analysis-based adaptation techniques for localization of content presentation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,443,122 B2 - Document ID: US11443122B2 - Status: Granted - Kind: B2 - Application number: 16/807,899 - Filed: 2020-03-03 - Published: 2021-09-09 - Granted: 2022-09-13 - Earliest claimed: 2020-03-03 - Assignees: Dell Products L.P. - Applicants: Dell Products L.P. - Inventors: Sathish Kumar Bikumala; Parminder Singh Sethi - Web page: https://patentgrep.com/patent/US11443122B2 ## CPC - 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 - G06F 18/22: Matching criteria, e.g. proximity measures - G06F 40/103: Formatting, i.e. changing of presentation of documents (automatic justification G06F40/189; automatic line break hyphenation G06F40/191) - G06F 40/16: Automatic learning of transformation rules, e.g. from examples - G06F 40/268: Morphological analysis - G06F 40/284: Lexical analysis, e.g. tokenisation or collocates - G06F 40/289: Phrasal analysis, e.g. finite state techniques or chunking - G06F 40/295: Named entity recognition - G06F 40/30: Semantic analysis - G06V 30/414: Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text - G06V 30/418: Document matching, e.g. of document images - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract 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. ## Claims ### Claim 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 source content in a source language and a first content design structure that is consistent with the source content; translate the source content to translated content, the translated content being in at least one destination language and associated with a second content design structure that is consistent with the translated content; obtain a first image of the source content and the first content design structure and a second image of the translated content and the second content design structure; compare the first image and the second image to identify one or more inconsistent portions associated with one or more second image portions of the second image relative to one or more corresponding first image portions of the first image; and adapt the one or more inconsistent portions of at least the translated content of the second image to generate one or more adapted portions of translated content that are consistent with the first content design structure such that the given content presentation is localized for the at least one destination language. ### Claim 2 (depends on 1) The system of claim 1, wherein identifying one or more inconsistent portions further comprises determining that one or more portions of the translated content are out of scope with respect to the first content design structure. ### Claim 3 (depends on 2) 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 first content design structure as compared with the corresponding portion of source language content. ### Claim 4 (depends on 1) The system of claim 1, wherein adapting one or more inconsistent portions of translated content to generate one or more adapted portions of translated content that are consistent with the first content design structure further comprises obtaining one or more portions of alternative translated content that have a same or similar meaning to the one or more inconsistent portions of translated content and that are consistent with one or more dimensions associated with corresponding components of the first content design structure. ### Claim 5 (depends on 1) The system of claim 1, wherein comparing the first image and the second image to identify one or more inconsistent portions of the translated content further comprises applying an artificial intelligence-based image analysis algorithm to the first image and the second image. ### Claim 6 (depends on 1) The system of claim 1, wherein the given content presentation localized for the at least one destination language is at least one web page. ### Claim 7 (depends on 1) The system of claim 1, wherein the source content in the source language comprises one or more of text, an image and a design element. ### Claim 8 (depends on 1) The system of claim 1 wherein comparing the first image and the second image to identify one or more inconsistent portions includes identifying one or more diversions in corresponding components of the first content design structure and the second content design structure. ### Claim 9 A method, comprising: obtaining, for a given content presentation, source content in a source language and a first content design structure that is consistent with the source content; translating the source content to translated content, the translated content being in at least one destination language and associated with a second content design structure that is consistent with the translated content; obtaining a first image of the source content and the first content design structure and a second image of the translated content and the second content design structure; comparing the first image and the second image to identify one or more inconsistent portions associated with one or more second image portions of the second image relative to one or more corresponding first image portions of the first image; and adapting the one or more inconsistent portions of at least the translated content of the second image to generate one or more adapted portions of translated content that are consistent with the first content design structure such that the given content presentation is localized for the at least one destination language; wherein the steps are performed by at least one processing device comprising a processor operatively coupled to a memory. ### Claim 10 (depends on 9) The method of claim 9, wherein identifying one or more inconsistent portions further comprises determining that one or more portions of the translated content are out of scope with respect to the first content design structure. ### Claim 11 (depends on 10) The method of claim 10, wherein a portion of translated content is out of scope when the portion of translated content is one of truncated and misaligned in the first content design structure as compared with the corresponding portion of source language content. ### Claim 12 (depends on 9) The method of claim 9, wherein adapting one or more inconsistent portions of translated content to generate one or more adapted portions of translated content that are consistent with the first content design structure further comprises obtaining one or more portions of alternative translated content that have a same or similar meaning to the one or more inconsistent portions of translated content and that are consistent with one or more dimensions associated with corresponding components of the first content design structure. ### Claim 13 (depends on 9) The method of claim 9, wherein comparing the first image and the second image to identify one or more inconsistent portions of the translated content further comprises applying an artificial intelligence-based image analysis algorithm to the first image and the second image. ### Claim 14 (depends on 9) The method of claim 9, wherein the given content presentation localized for the at least one destination language is at least one web page. ### Claim 15 (depends on 9) The method of claim 9, wherein the source content in the source language comprises one or more of text, an image and a design element. ### Claim 16 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 said at least one processing device to perform steps of: obtaining, for a given content presentation, source content in a source language and a first content design structure that is consistent with the source content; translating the source content to translated content, the translated content being in at least one destination language and associated with a second content design structure that is consistent with the translated content; obtaining a first image of the source content and the first content design structure and a second image of the translated content and the second content design structure; comparing the first image and the second image to identify one or more inconsistent portions associated with one or more second image portions of the second image relative to one or more corresponding first image portions of the first image; and adapting the one or more inconsistent portions of at least the translated content of the second image to generate one or more adapted portions of translated content that are consistent with the first content design structure such that the given content presentation is localized for the at least one destination language. ### Claim 17 (depends on 16) The article of claim 16, wherein identifying one or more inconsistent portions further comprises determining that one or more portions of the translated content are out of scope with respect to the first content design structure. ### Claim 18 (depends on 17) The article of claim 17, wherein a portion of translated content is out of scope when the portion of translated content is one of truncated and misaligned in the first content design structure as compared with the corresponding portion of source language content. ### Claim 19 (depends on 16) The article of claim 16, wherein adapting one or more inconsistent portions of translated content to generate one or more adapted portions of translated content that are consistent with the first content design structure further comprises obtaining one or more portions of alternative translated content that have a same or similar meaning to the one or more inconsistent portions of translated content and that are consistent with one or more dimensions associated with corresponding components of the first content design structure. ### Claim 20 (depends on 16) The article of claim 16, wherein comparing the first image and the second image to identify one or more inconsistent portions of the translated content further comprises applying an artificial intelligence-based image analysis algorithm to the first image and the second image.