Natural Language Processing

Description

Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age. Applications of NLP are everywhere because people communicate almost everything in language: web search, advertising, emails, customer service, language translation, virtual agents, medical reports, politics, etc. In the last decade, deep learning (or neural network) approaches have obtained very high performance across many different NLP tasks, using single end-to-end neural models that do not require traditional, task-specific feature engineering. In this course, students will gain a thorough introduction to cutting-edge research in NLP and students will also learn about how computational methods can help linguists explain language phenomena, including automatic discovery of different word senses and phrase structure.

Program

Artificial Intelligence 132 CRs

Objectives

• - Understand approaches to syntax and semantics in NLP.
  - Understand approaches to discourse, generation, dialogue and summarization within NLP.
  - Understand methods of machine translation.
  - Understand machine learning techniques used in NLP and its applications.