Dynamic language translation of web site content

• US 9,858,347 B2
• Filed: 08/04/2015
• Issued: 01/02/2018
• 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 DEMELASH
• Application Number:
  US14/817,343
• Publication Number:
  US 20150339294A1
• Time in Patent Office: 882 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 web content, comprising steps performed by the at least one processor:

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;

dividing the obtained content in the first language into a plurality of translatable components;

determining with respect to at least some of the plurality of translatable components, whether there is a corresponding translated component previously stored;

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

translating, via machine translation, each translatable component determined to be translated via machine translation;

scheduling for human post-editing of the translation of each translatable component translated via machine translation;

generating the content in the second language using the machine translated translatable components and the human post-edited translatable components; and

providing the content in the second language to the user based on a condition associated with the translated content being satisfied.

2. The method of claim 1, wherein the steps further comprise:

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

3. The method of claim 1, wherein the steps further comprise:

scheduling for human post-editing one or more of the machine translated translatable components.

4. The method of claim 3, wherein the steps further comprise:

storing a corresponding human post-edited translated component in the second language for each translatable component that has been human post-edited.

5. The method of claim 1, wherein the condition associated with the translated content corresponds to determining a geographical location of the user.

6. A non-transitory computer-readable medium having information recorded thereon for providing translated web content, wherein the information, when read by a computer, causes the computer to perform the following:

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;

dividing the obtained content in the first language into a plurality of translatable components;

determining with respect to at least some of the plurality of translatable components, whether there is a corresponding translated component previously stored;

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

translating, via machine translation, each translatable component determined to be translated via machine translation;

scheduling for human post-editing of the translation of each translatable component translated via machine translation;

generating the content in the second language using the machine translated translatable components and the human post-edited translatable components; and

providing the content in the second language to the user based on a condition associated with the translated content being satisfied.

7. The medium of claim 6, wherein the information, when read by the computer, causes the computer to further perform the following:

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

8. The medium of claim 6, wherein the information, when read by the computer, causes the computer to further perform the following:

scheduling for human post-editing one or more of the machine translated translatable components.

9. The medium of claim 8, wherein the information, when read by the computer, causes the computer to further perform the following:

storing a corresponding human post-edited translated component in the second language for each translatable component that has been human post-edited.