This means that the lexicon tagger will incorrectly tag “run” as a verb in the first sentence, even though it is used as a noun. The lexicon-based approach will tag the word “run” based on the highest frequency tag, which is likely to be a verb. In the first sentence “I went for a run,” “run” is used as a noun, while in the second sentence “I run in the morning,” “run” is used as a verb. For example:Ĭonsider the word “run” which can be used as a noun or a verb. However, this approach is not capable of handling unknown or ambiguous words, and it may result in incorrect tagging for such words. This approach assigns the most frequently occurring POS tag to each word in the text. The lexicon-based approach to POS tagging utilizes a statistical algorithm that is based on the frequency of occurrence of each word in a training corpus.
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