Sökning: "language resources"
Visar resultat 1 - 5 av 272 avhandlingar innehållade orden language resources.
1. 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
2. Språk, diaspora, makt : Flerspråkiga resurser och diasporaidentiteter bland unga vuxna i Sverige
Sammanfattning : Based on three separate studies, this thesis explores diaspora identities among young adult Assyrians/Syrians in Sweden, mediated through language. The focus is on how multilingual young adults use their languages and reflect on their use of language. LÄS MER
3. Constructions of Language Competence : Sociolinguistic Perspectives on Assessing Second Language Interactions in Basic Adult Education
Sammanfattning : The current thesis is concerned with constructions and perceptions of what it means to be ‘a competent language user’ in the context of a language programme in basic Swedish called Swedish for Immigrants (SFI). A particular focus is given to the testing and assessment of oral interaction. 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. Lexical and Grammar Resource Engineering for Runyankore & Rukiga: A Symbolic Approach
Sammanfattning : Current research in computational linguistics and natural language processing (NLP) requires the existence of language resources. Whereas these resources are available for a few well-resourced languages, there are many languages that have been neglected. LÄS MER