About this Course
In Course 2 of the Pure Language Processing Specialization, you’ll:
WHAT YOU WILL LEARN
Use dynamic programming, hidden Markov fashions, and phrase embeddings to implement autocorrect, autocomplete & determine part-of-speech tags for phrases.
SKILLS YOU WILL GAIN
- Word2vec
- Components-of-Speech Tagging
- N-gram Language Fashions
- Autocorrect
Syllabus – What you’ll be taught from this course
7 hours to finish
Autocorrect
Find out about autocorrect, minimal edit distance, and dynamic programming, then construct your individual spellchecker to right misspelled phrases!
6 hours to finish
A part of Speech Tagging and Hidden Markov Fashions
Find out about Markov chains and Hidden Markov fashions, then use them to create part-of-speech tags for a Wall Road Journal textual content corpus!
9 hours to finish
Autocomplete and Language Fashions
Find out about how N-gram language fashions work by calculating sequence chances, then construct your individual autocomplete language mannequin utilizing a textual content corpus from Twitter!
9 hours to finish
Phrase embeddings with neural networks
Find out about how phrase embeddings carry the semantic which means of phrases, which makes them rather more highly effective for NLP duties, then construct your individual Steady bag-of-words mannequin to create phrase embeddings from Shakespeare textual content.
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