URL Translation via Token Segmentation and Transliteration
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Solution Overview
Problem
Existing web page translation services are inadequate for non-sentence structured content, such as URLs, which often contain non-roman characters and lack discernible sentence formats, leading to confusion for users browsing foreign web pages.
Innovation Solution
A method and system for translating content locators, such as URLs, by segmenting them into tokens, translating or transliterating these tokens, and reassembling them in a target language, using a network browser plugin or module that applies user-defined translation settings, enabling seamless language conversion for web page content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing web page translation services are used, then sentence-based content can be translated, but non-sentence structured content such as URLs cannot be properly translated
Solution Approach 1:
The patent segments URLs into meaningful tokens (e.g., protocol, domain, path components) before translation. Each token is processed individually based on its type, allowing the system to handle non-sentence structured content effectively while maintaining translation accuracy for each segment.
Solution Approach 2:
The patent applies different translation strategies to different parts of the URL based on their specific characteristics. For example, domain names may be transliterated while path components are translated, ensuring each segment receives the appropriate treatment for its specific structure and meaning.
2Measurement precision
If grammar rules based translation is used, then structured sentences can be translated accurately, but content without sentence structure like URLs becomes confusing
Solution Approach 1:
The patent dynamically adapts the translation approach based on the content type detected. For URLs, it switches from sentence-based grammar rules to token-based segmentation and selective translation, making the system flexible enough to handle different content structures while maintaining precision.
Solution Approach 2:
The patent changes the translation parameters and methods based on the input content structure. When detecting non-sentence content like URLs, it modifies the translation approach to use transliteration and selective translation of specific tokens, improving user understanding while maintaining appropriate precision.
3Ease of operation
If automatic translation of URLs is implemented, then user understanding of foreign language content is enhanced, but the complexity of the translation system increases
Solution Approach 1:
The patent implements self-service mechanisms where the translation system automatically detects URL structures and applies appropriate translation rules without requiring manual configuration. The system serves itself by identifying content types and selecting translation strategies, reducing the perceived complexity for users while maintaining sophisticated translation capabilities.
Data Source
AI summary
The present technology may translate a content of a web page such as content locator (e.g., a uniform resource locator (URL)) from a source language to a target language. The content locator may be associated with a content page. The translation may involve dividing the content locator into segment tokens in a first language, followed by translating, transliterating or not changing a segment token. The processed tokens are then reassembled in a second language. The translation may be provided by a translation module through a content page provided by a network browser.