Dynamic language translation of web site content

• US 10,387,517 B2
• Filed: 11/22/2017
• Issued: 08/20/2019
• Est. Priority Date: 07/13/2010
• Status: Active Grant

• Current Assignee: MotionPoint Corporation
• Original Assignee: MotionPoint Corporation
• Inventors: Travieso, Enrique, Rubenstein, Adam, Fleming, William, Whiteman, Charles, Alvarez, Eugenio, Andrade, Arcadio, Birdsey, Collin
• Primary Examiner(s): Abebe, Daniel
• Application Number:
  US15/821,607
• Publication Number:
  US 20180095978A1
• Time in Patent Office: 636 Days
• Field of Search: 704 2
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 16/9558 Details of hyperlinks; Management of linked annotations
• CPC Class Codes: G06F 16/9566 URL specific, e.g. using aliases, detecting broken or misspelled links
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06F 40/103 Formatting, i.e. changing of presentation of documents automatic justification G06F40/189; automatic line break hyphenation G06F40/191
• CPC Class Codes: G06F 40/117 Tagging; Marking up details of markup languages G06F40/143; Designating a block; Setting of attributes style sheets, e.g. eXtensible Stylesheet Language Transformation [XSLT], G06F40/154
• CPC Class Codes: G06F 40/14 Tree-structured documents parsing G06F40/205; validation G06F40/226
• CPC Class Codes: G06F 40/197 Version control for software G06F8/71
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/45 Example-based machine translation; Alignment
• CPC Class Codes: G06F 40/47 Machine-assisted translation, e.g. using translation memory
• CPC Class Codes: G06F 40/55 Rule-based translation
• 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
• CPC Class Codes: G10L 15/005 Language recognition
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

Methods, systems, and computer readable medium for providing translated web content. A request is received from a user for content in a second language translated from content in a first language from a first Internet source. The content in the first language is obtained and divided into one or more translatable components. Whether the one or more translatable components have been previously translated, via at least one of machine translation, human translation, and a combination thereof, into the second language and stored as translated components in a storage is determined. If there are one or more translatable components previously translated and stored, the content is generated in the second language by modifying the content in the first language so that at least some translatable components are replaced with corresponding translated components and sent in the second language to the user as a response to the request.

Claims

1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated content, the method comprising:

receiving a request from an Internet source to translate content in a first language into content in a second language destined for a user;

parsing the content in the first language to identify one or more translatable components;

determining, with respect to each of the translatable components that does not have a corresponding translated component previously stored, whether the translatable component is to be translated into the second language via machine translation;

performing machine translation of the translatable components that are determined to be translated via machine translation;

scheduling the machine translated components for human post-editing to generate a first set of human post-edited translated components;

scheduling for human translation the translatable components that are determined not to be translated via machine translation to generate a second set of human translated components; and

generating the content in the second language based on the first set of human post-edited translated components and the second set of human translated components.

2. The method of claim 1, wherein each of the translatable component includes at least one of a text segment, an image file with text, a multi-media file with text, and an audio file.

3. The method of claim 1, wherein the content is one of an electronic mail and a text message.

4. The method of claim 3, wherein the text message in the first language complies with a first protocol and the translated text in the second language complies with a second protocol.

5. The method of claim 3, wherein the Internet source is one of an electronic mail application and a text message service application.

6. The method of claim 1, wherein the request is initiated by the Internet source independent from the user.

7. The method of claim 1, further comprising:

transmitting to the user, the generated content in the second language to be displayed on a device operated by the user, the transmitted content being displayed based on a time criterion associated with the generated content.

8. A non-transitory machine readable medium having information recorded thereon for providing translated content, wherein the information, when read by a machine, causes the machine to perform the steps of:

receiving a request from an Internet source to translate content in a first language into content in a second language destined for a user;

parsing the content in the first language to identify one or more translatable components;

determining, with respect to each of the translatable components that does not have a corresponding translated component previously stored, whether the translatable component is to be translated into the second language via machine translation;

performing machine translation of the translatable components that are determined to be translated via machine translation;

scheduling the machine translated components for human post-editing to generate a first set of human post-edited translated components;

scheduling for human translation the translatable components that are determined not to be translated via machine translation to generate a second set of human translated components; and

generating the content in the second language based on the first set of human post-edited translated components and the second set of human translated components.

9. The medium of claim 8, wherein each of the translatable component includes at least one of a text segment, an image file with text, a multi-media file with text, and an audio file.

10. The medium of claim 8, wherein the content is one of an electronic mail and a text message.

11. The medium of claim 8, wherein the text message in the first language complies with a first protocol and the translated text in the second language complies with a second protocol.

12. The medium of claim 11, wherein the Internet source is one of an electronic mail application and a text message service application.

13. The medium of claim 8, wherein the request is initiated by the Internet source independent from the user.

14. The medium of claim 8, further comprising the step of:

transmitting to the user, the generated content in the second language to be displayed on a device operated by the user, the transmitted content being displayed based on a time criterion associated with the generated content.

15. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated content, the method comprising:

receiving a request, via a public network connection, from an online user for content in a second language to be translated from content in a first language;

obtaining, upon receiving the request, the content in the first language from an Internet source that hosts the content in the first language;

parsing the content in the first language to identify one or more translatable components;

determining, with respect to each of the translatable components that does not have a corresponding translated component previously stored, whether the translatable component is to be translated into the second language via machine translation;

performing machine translation of the translatable components that are determined to be translated via machine translation;

scheduling, the machine translated components for human post-editing to generate a first set of human post-edited translated components;

scheduling for human translation the translatable components that are determined not to be translated via machine translation to generate a second set of human translated components; and

generating the content in the second language based on the first set of human post-edited translated components, and the second set of human translated components.

16. The method of claim 15, further comprising:

storing a corresponding translated component in the second language for each translatable component in the first language that has been translated.