Sökning: "Natural Sciences Computer and Information Science Language Technology Computational Linguistics"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden Natural Sciences Computer and Information Science Language Technology Computational Linguistics.
1. MaltParser -- An Architecture for Inductive Labeled Dependency Parsing
Sammanfattning : This licentiate thesis presents a software architecture for inductive labeled dependency parsing of unrestricted natural language text, which achieves a strict modularization of parsing algorithm, feature model and learning method such that these parameters can be varied independently. The architecture is based on the theoretical framework of inductive dependency parsing by Nivre \citeyear{nivre06c} and has been realized in MaltParser, a system that supports several parsing algorithms and learning methods, for which complex feature models can be defined in a special description language. LÄS MER
2. Compound Processing for Phrase-Based Statistical Machine Translation
Sammanfattning : In this thesis I explore how compound processing can be used to improve phrase-based statistical machine translation (PBSMT) between English and German/Swedish. Both German and Swedish generally use closed compounds, which are written as one word without spaces or other indicators of word boundaries. LÄS MER
3. Steg för steg. Naturvetenskapligt ämnesspråk som räknas : Step by step. A computational analysis of Swedish textbook language
Sammanfattning : In this work, I present a linguistic investigation of the language of Swedish textbooks in the natural sciences, i.e., biology, physics and chemistry. The textbooks, which are used in secondary and upper secondary school, are examined with respect to traditional readability measures, e. LÄS MER
4. Steg för steg. Naturvetenskapligt ämnesspråk som räknas
Sammanfattning : In this work, I present a linguistic investigation of the language of Swedish textbooks in the natural sciences, i.e., biology, physics and chemistry. The textbooks, which are used in secondary and upper secondary school, are examined with respect to traditional readability measures, e. LÄS MER
5. Bootstrapping Named Entity Annotation by Means of Active Machine Learning
Sammanfattning : This thesis describes the development and in-depth empirical investigation of a method, called BootMark, for bootstrapping the marking up of named entities in textual documents. The reason for working with documents, as opposed to for instance sentences or phrases, is that the BootMark method is concerned with the creation of corpora. LÄS MER