Natural Language Processing
Introduction to Perl and XML; Introduction to linguistics (morphology, syntax, semantics); simple statistical approaches (KWIC, concordances); Spelling detection and correction; Statistical models (counting words, bigrams, entropy); Parsing; Markov chains; Hidden Markov chains; Text categorization, sentiment analysis, authorship attribution; Cryptography; Question/Answering; Text summarization.
The final mark is based on both a final written exam and the results of the practical exercises.
T3 – Advanced Information Processing |
The main objective of this course is to introduce the students to the underlying problems when facing with natural languages data.
Practical exercises will complete the theoretical presentation.
Jacques Savoy |
The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_1531282.html.
Schedules and Rooms
|Schedule||Wednesday, 08:45 - 12:00|