10 Part-of-speech tagging and word-sense disambiguation
This chapter covers
- Disambiguating language by predicting nouns, verbs, and adjectives from past data
- Making decisions and explaining them using hidden Markov models (HMMs)
- Using TensorFlow to model explainable problems and collect evidence
- Computing HMM initial, transition, and emission probabilities from existing data
- Creating a part-of-speech (PoS) tagger from your own data and larger corpora
You use language every day to communicate with others, and if you are like me, sometimes you scratch your head, especially if you are using the English language. English is known to have a ton of exceptions that make it difficult to teach non-native speakers, along with your little ones who are ...
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