Answers.Body: <p>Essentially you would need to train a named entity recognizer (NER) to recognize the names out of the common words.</p>
  
  <p>There are many works that try to use a similar language to the language in question as a pivot to train a full NER model (for example, <a href="https://www.aclweb.org/anthology/D17-1269" rel="nofollow noreferrer"><em>Cheap Translation for Cross-Lingual Named Entity Recognition</em></a>).</p>
  
  <p>Your task might be slightly simpler, as you are interested only in one class: whether it is a named entity or not. But in general it is very similar to this setup.</p>
  
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Answers.CreationDate: 2019-06-06T21:32:55.633Z
Answers.LastActivityDate: 2019-06-07T11:55:55.800Z
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Body: <p>If an NLP system processes a text containing proper nouns like names, trade marks, etc. without knowing anything about the language (ie no lexicon), is it possible to recognise them?</p>
  
Tags: <natural-language-processing>
Title: How to distinguish between proper nouns and other words in NLP?
UserDisplayName: user8426627
ThreadText: # How to distinguish between proper nouns and other words in NLP?
  
  (Asked by: username_0 on 2019-06-06)
  
  If an NLP system processes a text containing proper nouns like names, trade marks, etc. without knowing anything about the language (ie no lexicon), is it possible to recognise them?
  
  **Tags:** natural-language-processing
  
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  ## 1 answers
  
  ### Answer by username_1 on 2019-06-06. Score: 1
  
  Essentially you would need to train a named entity recognizer (NER) to recognize the names out of the common words.
  
  There are many works that try to use a similar language to the language in question as a pivot to train a full NER model (for example, [*Cheap Translation for Cross-Lingual Named Entity Recognition*](https://www.aclweb.org/anthology/D17-1269)).
  
  Your task might be slightly simpler, as you are interested only in one class: whether it is a named entity or not. But in general it is very similar to this setup.
  
  
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