The final document containing all the reports [pdf].

The list of authors and projects titles of the course Language processing and computational linguistics for 2003/2004:

• Jimmy Andersson and Tommy Karlsson, GroupDetector. [pdf]
• Samuel Andersson and Mikael Hallin, Ett gränssnitt med naturligt språk till en TV programs-databas. [pdf]
• Julio Angulo, Cian Dalton, and Esteve Llobera Vila, Football Information Extraction System. [pdf]
• Sofia Bastrup and Christina Pöpper, Language Detection based on Unigram Analysis and Decision Trees. [pdf]
• Nabil Benhadj, André Hellström, and Johan Windmark, Why use buttons when natural language dialogue makes interaction easier: the Winamp Project. [pdf]
• Örjan Berglin and Carl Emil Lagerstedt, A Classification System Applied to Music Reviews. [pdf]
• Anders Berglund, Finite-state clause segmentation. [pdf]
• Andreas Brandt, Sats-segmentering för svenska. [pdf]
• Magnus Danielsson and Lisa Persson, Name Extraction in Car Accident Reports for Swedish. [pdf]
• Johan Enell and Fredrik Larsson, Beslutsträdsinduktion för probabilistisk taggning. [pdf]
• Enrique Garcia and Sven Grönquist. Using Speech Recognition for controlling a Pan-Tilt-Zoom Network Camera. [pdf]
• Marie Gustafsson, A spell checker with a user model for Swedish dyslexics. [pdf]
• Stefan Karlsson , Automatic learning of discourse relations in Swedish. [pdf]
• Sven-Olof Karlsson , A writing assistant using language models derived from the Web. [pdf]
• Ulrich Klauer, Automatisierte metrische Analyse lateinischer Dichtung. [pdf]
• Fabian Kostadinov and Jonas Thulin, A text critiquing system for Swedish-speaking students of French. [pdf]
• François Marier and Bengt Sjödin, A part-of-speech tagger for Swedish using the Brill transformation-based learning. [pdf]
• Peter Nilsson, A probabilistic part-of-speech tagger for Swedish. [pdf]
• Thomas Raneland , Morphar: A Morphological Parser for Swedish. [pdf]
• Mats Svensson, Tagging of named entities in Swedish traffic accident reports. [pdf]
• Sharon Tsai Yu-Ying, A Writing Assistent Using Language Models Derived From the Web. [pdf]

In total, 21 projects and 34 students.