Sökning: "language processing"
Visar resultat 1 - 5 av 290 avhandlingar innehållade orden language processing.
1. 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
2. Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language
Sammanfattning : In this thesis we explore to what extent deep neural networks (DNNs), trained end-to-end, can be used to perform natural language processing tasks for code-switched colloquial languages lacking both large automated data and processing tools, for instance tokenisers, morpho-syntactic and semantic parsers, etc. We opt for an end-to-end learning approach because this kind of data is hard to control due to its high orthographic and linguistic variability. 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. Exploring natural language processing for single-word and multi-word lexical complexity from a second language learner perspective
Sammanfattning : In this thesis, we investigate how natural language processing (NLP) tools and techniques can be applied to vocabulary aimed at second language learners of Swedish in order to classify vocabulary items into different proficiency levels suitable for learners of different levels. In the first part, we use feature-engineering to represent words as vectors and feed these vectors into machine learning algorithms in order to (1) learn CEFR labels from the input data and (2) predict the CEFR level of unseen words. LÄS MER
5. Technical Language Supervision for Intelligent Fault Diagnosis
Sammanfattning : Condition Monitoring (CM) is widely used in industry to meet sustainability, safety, and equipment efficiency requirements. Intelligent Fault Diagnosis (IFD) research focuses on automating CM data analysis tasks, to detect and prevent machine faults, and provide decision support. LÄS MER