Uses/Applications of Part-of-speech-tagging (POS Tagging)
nlp, part-of-speech
Solution
One purpose of PoS tagging is to disambiguate homonyms. For instance, take this sentence :
I fish a fish
The same sentence in french would be Je pêche un poisson. Without tagging, fish would be translated the same way in both case, which would lead to a wrong traduction. However, after PoS tagging, the sentence would be
I_PRON fish_VERB a_DET fish_NOUN
From a computer point of view, both words are now distinct. This wat, they can be processed much more efficiently (in our example, fish_VERB will be translated to pêche and fish_NOUN to poisson).
Problem
I understand the implicit value of part-of-speech tagging and have seen mentions about its use in parsing, text-to-speech conversion, etc. Could you tell me how is the output of a PoS tagger formated ? Also, could you explain how is such an output used by other tasks/parts of an NLP system?