title: apply machine learning to analysis mixed language
body: <p>I am a starter of machine learning and I wonder if it's possible to apply machine learning to the following case.</p>
  <p>Image I am passing a mixed language string (english + anything else) to the machine learning library, and I expect the library tells me if this string has been fully translated from english to the target language or not. For example</p>
  <p>Example 1:</p>
  <ul>
  <li>input:
  &quot;i amor iphone&quot; #(i love iphone in spanish)</li>
  <li>expected result:<br />
  Does not need future translation as 'iPhone' is a branding name</li>
  </ul>
  <p>Example 2:</p>
  <ul>
  <li><p>input:</p>
  <p>&quot;请upload您的文件&quot; # (please upload your file in Chinese)</p>
  </li>
  <li><p>expected result:</p>
  <p>Needs future translation (to Chinese) as &quot;upload&quot; is an action which should be translated.</p>
  </li>
  </ul>
  <p>If machine learning could apply to this, then how should I pick the dimension of the input string and which algorithm should I pick (logistic regression or neural network? )</p>
  <p>Thanks</p>