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In computational linguistics, word-sense induction (WSI) or discrimination is an open problem of natural language processing, which concerns the automatic identification of the senses of a word (i.e. meanings).
Word-sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment ... Identification of dominant word senses; [41 ...
In linguistics, a word sense is one of the meanings of a word. For example, a dictionary may have over 50 different senses of the word "play", each of these having a different meaning based on the context of the word's usage in a sentence, as follows: We went to see the play Romeo and Juliet at the theater.
Senseval-2 – evaluated word sense disambiguation systems on three types of tasks (the all-words, lexical-sample and the translation task) Senseval-3 [usurped] – included tasks for word sense disambiguation, as well as identification of semantic roles, multilingual annotations, logic forms, subcategorization acquisition.
for every sense of the word being disambiguated one should count the number of words that are in both the neighborhood of that word and in the dictionary definition of that sense; the sense that is to be chosen is the sense that has the largest number of this count. A frequently used example illustrating this algorithm is for the context "pine ...
Word recognition is a manner of reading based upon the immediate perception of what word a familiar grouping of letters represents. This process exists in opposition to phonetics and word analysis, as a different method of recognizing and verbalizing visual language (i.e. reading). [8] Word recognition functions primarily on automaticity.
Word-sense disambiguation – Identification of which sense of a word is being used; Notes References. Crystal, D. 1997. A dictionary of linguistics and phonetics ...
A simplified form of this is commonly taught to school-age children, in the identification of words as nouns, verbs, adjectives, adverbs, etc. Once performed by hand, POS tagging is now done in the context of computational linguistics, using algorithms which associate discrete terms, as well as hidden parts of speech, by a set of descriptive ...