Sökning: "computational linguistics"
Visar resultat 31 - 35 av 69 avhandlingar innehållade orden computational linguistics.
31. Exploring non-covalent interactions between drug-like molecules and the protein acetylcholinesterase
Sammanfattning : The majority of drugs are small organic molecules, so-called ligands, that influence biochemical processes by interacting with proteins. The understanding of how and why they interact and form complexes is therefore a key component for elucidating the mechanism of action of drugs. LÄS MER
32. Unsupervised Learning of Morphology and the Languages of the World
Sammanfattning : This thesis presents work in two areas; Language Technology and Linguistic Typology. In the field of Language Technology, a specific problem is addressed: Can a computer extract a description of word conjugation in a natural language using only written text in the language? The problem is often referred to as Unsupervised Learning of Morphology and has a variety of applications, including Machine Translation, Document Categorization and Information Retrieval. LÄS MER
33. The Multilingual Forest : Investigating High-quality Parallel Corpus Development
Sammanfattning : This thesis explores the development of parallel treebanks, collections of language data consisting of texts and their translations, with syntactic annotation and alignment, linking words, phrases, and sentences to show translation equivalence. We describe the semi-manual annotation of the SMULTRON parallel treebank, consisting of 1,000 sentences in English, German and Swedish. LÄS MER
34. Multivariate design of molecular docking experiments : An investigation of protein-ligand interactions
Sammanfattning : To be able to make informed descicions regarding the research of new drug molecules (ligands), it is crucial to have access to information regarding the chemical interaction between the drug and its biological target (protein). Computer-based methods have a given role in drug research today and, by using methods such as molecular docking, it is possible to investigate the way in which ligands and proteins interact. LÄS MER
35. Modified Glycopeptides Targeting Rheumatoid Arthritis : Exploring molecular interactions in class II MHC/glycopeptide/T-cell receptor complexes
Sammanfattning : Rheumatoid arthritis (RA) is an autoimmune inflammatory disease that leads to degradation of cartilage and bone mainly in peripheral joints. In collagen-induced arthritis (CIA), a mouse model for RA, activation of autoimmune CD4+ T cells depends on a molecular recognition system where T-cell receptors (TCRs) recognize a complex between the class II MHC Aq protein and CII259-273, a glycopeptide epitope from type II collagen (CII). LÄS MER