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Revision 2 as of 2019-05-05 21:17:18
AD Teaching Wiki:
  • BachelorAndMasterProjectsAndTheses
  • MergingHyphenatedWords

Accurate Word Extraction from Documents with Complex Layouts

Type: An interesting and practical bachelor thesis. A basic understanding of Machine Learning is required; knowledge of Deep Learning is desirable. The preferred programming language is Python.

Background info: TODO

Goal: Merging hyphenated words by using machine learning techniques; taking into account that a word can be a compound word, in which case the hyphen between the two parts of the word needs to be retained on merging the parts.

Challenge 1: TODO

Challenge 2: TODO

Subgoal 1: TODO

Subgoal 2: TODO

Supervision by Claudius Korzen.

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