Understanding the field of natural language processing, the main techniques, the algorithms and software
architectures used in its applications.
Ability to design, implement and evaluate natural language processing systems.

Contents:
Statistical modeling of natural language.
Statistical learning techniques. Lessical analysis.
Grammatical analysis. Semantic analysis.
Annotated corpora and evaluation methodologies.
Statistical methods for machine translation.