These tags indicate the part of speech for the word and often other grammatical categories such as tense, number and case. POS tagging is a process that is used for assigning tags to a word or words. 'die' in the second sentence is a Noun The waste management company is going to refuse ( reFUSE - verb /to deny/) wastesįrom homes without a proper refuse ( REFuse - noun /trash, dirt/) bin The gambler rolled the die ' die' in the first sentence is a Verb More examples The cat will die if it doesn't get enough air Its part of speech is dependent on the context. In the example above, if the word “address” in the first sentence was a Noun, the sentence would have an entirely different meaning. Identifying the part of speech of the various words in a sentence can help in defining its meanings. Whereas ' address' in the second sentence is a Noun 'We need your shipping address' ' a ddress' in the first sentence is a Verb How can our model tell the difference between the word “address” used in different contexts? 'I would like to address the public on this issue' Let’s look at the syntactic relationship of words and how it helps in semantics.įor example, let’s say we have a language model that understands the English language Having an intuition of grammatical rules is very important.Įarlier we discussed the grammatical rule of language.

If a word is an adjective, its likely that the neighboring word to it would be a noun because adjectives modify or describe a noun. Part of Speech reveals a lot about a word and the neighboring words in a sentence. POS tagging is the process of assigning a part-of-speech to a word.

In this tutorial we would look at some Part-of-Speech tagging algorithms and examples in Python, using NLTK and spaCy What is Part-of-Speech (POS) tagging?

Pos tagging python code