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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesCMU School of Computer Science, Pittsburgh

The Syllabus

  • Learn the definition of NLP
  • Review current and future applications

  • Define identifying characteristics of morphemesx
  • Evaluate tools and resources related to morphological analysis

  • Discover how computational language models are used for prediction, scoring, and correction
  • Evaluate tools and resources for language model construction

  • Evaluate the features of document topic classification and notation
  • Demonstrate how to extract features beyond a single word

  • Compare and contrast sequence-based neural networks
  • Learn how neural network training works

  • Explore the process of mapping strings of words to strings of tags
  • Implement POS tagging with eight foreign languages

  • Determine the ideal lexical approach to ascertain word meaning
  • Predict word meanings using cosine similarities

  • Evaluate reasons and motivations for using word embeddings
  • Explore improvement techniques for word embeddings

  • Analyze syntax and its applications to NLP
  • Identify dependency parsing tools and resources for NLP tasks

  • Translate first order logic (FOL) into English vocabulary
  • Analyze approaches to the representation of meaning beyond FOL and description logics

Instructors

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