Coordinated user word selection for translation and obtaining of contextual information for the selected word
A contextual, user-based technology, applied in the field of language translation, which can solve the problems of missing, inappropriate, inaccurate translations, etc.
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[0018] As previously mentioned, conventional language translation techniques involve the user cutting and pasting selected individual words from a viewing application (web browser, e-reader, etc.) into a search or translation application. However, the search or translation application lacks any contextual information for the selected word, so possible translations of the selected word may be inaccurate or otherwise inappropriate. For example, words such as "bear" and "slip" both have multiple meanings in the English language. By providing the word "bear" without any contextual information, although the context is "bear left" or "bear right" in the context of navigation, the most likely translated word might be Translated words corresponding to animals. Likewise, by providing the word "slip" without any contextual information, the most likely translated word might be lost with someone despite the context being a mistelling ("a slip of the tongue"). The corresponding translate...
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