The goal of the Master thesis will be to apply (implement or adapt) techniques (e.g., borrowed from the field of bioinformatics) to identify lexically-similar passages (i.e. phrases, sentences, quotes, paraphrases) across collections of Swedish literary texts. Such techniques can use any suitable algorithms for that purpose, but preferably sequence alignment and present/visualize the results in a user friendly (and navigable) way.

Attachments: 

MLT-proposal-seqAlign-DK.pdf