Difference between revisions of "Naïve bayes classifier for lexical selection"

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(Created page with ''''Lexical selection''' is the task of choosing the best translation of a polysemous word in a sentence. One way of doing this is to use the sentence context to determine the app…')
 
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:<math>\bar{s} = argmax ~ \frac{P(\vec{f}|s) P(s)}{P(s)}</math>
 
:<math>\bar{s} = argmax ~ \frac{P(\vec{f}|s) P(s)}{P(s)}</math>
 
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==See also==
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* [[Part-of-speech tagging]]
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* [[Word sense disambiguation]]
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[[Category:Development]]
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[[Category:Documentation in English]]

Latest revision as of 11:40, 24 March 2012

Lexical selection is the task of choosing the best translation of a polysemous word in a sentence. One way of doing this is to use the sentence context to determine the appropriate translation of a word. This context can be modelled as a naïve Bayes classifier. Lexical selection is related to word sense disambiguation, and we will adopt the terminology of that field when talking about it.

An extract from a paper dictionary for some words in Catalan and their translations in English. Note the proper name Estats Units, multiword L'estament mèdic, polysemous words estat, estar and estalviar, and lexical-category ambiguous word estanc.


See also[edit]