Master Programme in Language Technology
Master Theses in Language Technology
The Master Theses in Language Technology are worth 30 credit points. We expect a much larger number of theses to be written in 2017 and after that.
Jimmy Callin, Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing [pdf].
Aaron Smith, BLEU Decoding and Feature Weight Tuning in Docent [pdf].
Edvin Ullman, Shibboleth A Multilingual Language Identifier [pdf].
Shao Yan, Machine Transliteration of Names from Different Language Origins into Chinese [pdf].
Hillevi Hägglöf, Automatic organization of online Swedish political discourse [pdf].
Lisa Tengstrand, Abbreviation Expansion in Swedish Clinical Text Using Distributional Semantic Models and Levenshtein Distance Normalization [pdf].
Kelly H. Smith, Treating a case of the mumbo jumbos: What linguistic features characterize Swedish electronic health records? [pdf].
Claudia Ehrentraut, Detection of Hospital Acquired Infections in sparse and noisy Swedish patient records. A machine learning approach using Naïve Bayes, Support Vector Machines and C4.5. [pdf].
Fredrik Norlindh, Extraction of synonyms and semantically related words from chat logs [pdf].