Natural Language Processing, Short Course | Part time online | Örebro University | Sweden
Studyportals
Short Online

Natural Language Processing

3 days
Duration
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Start date

About

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence (AI) that studies how computers process human language. This course offered by Örebro University allows learners to obtain knowledge about applications of NLP, as well as NLP problems and recent methods for solving them.

Overview

Course Objectives

The aim of the Natural Language Processing (NLP) course offered by Örebro University is to obtain expertise in applying neural networks and deep learning methods to solve problems in NLP.

Knowledge and understanding

  • Completing this course gives the student the basic knowledge of Natural Language Processing (NLP), different methods, and learn how different natural language problems can be viewed, and solved.

Applied Knowledge and Skills

  • The student will learn how to solve different NLP problems, by deploying statistical and machine learning methods. The focus of this course is on deploying deep learning for various NLP problems.

Making judgments and attitudes

  • After completing this course, the student will be able to assess how deep learning methods of NLP is suitable for NLP problems. Analyzing problems, finding the correct methodology, and deploying techniques in different applications.

Programme Structure

The program focuses on:

  • NLP and its applications
  • Text structure analysis: Morphological, morpho-syntactic analysis, syntax, extraction and filtering
  • NN for NLP: Neural networks, sequential learning, tweaks and tunning neural networks
  • Text classification: Learning taxonomy, classification, learning regime, Metrics
  • Semantic space: Semantics of language, formal representation, vector representation, word embeddings
  • Sequence2Sequence: Neural machine translation, encode-decoder architecture, attention
  • Advanced Topics: Structure prediction, dialog and virtual assistants, combination of image and NLP, ethics in NLP

Key information

Duration

  • Part-time
    • 3 days

Start dates & application deadlines

Language

English

Credits

3 ECTS

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School.

Tuition Fee

Funding

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Natural Language Processing
Örebro University
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