Master Programme in Language Technology
Master Theses in Language Technology
The Master Theses in Language Technology are worth 30 credit points. Links are to the university publication system and lead (with few exceptions) to an open access pdf version of the thesis.
Muhammad Ammar Shadiq AD Darman, Automatic Bug Report Assignment Using Multilevel Recurrent Neural Networks.
Carina Rawein, Exploring the Compositionality of German Particle Verbs.
Chiao-ting Fang, A Prototype Text Analyzer for Mandarin Chinese TTS system.
Rebeca Padilla López, Word Frequency as a Predictor of Word Intensity.
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].