Sökning: "multilingual setting"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden multilingual setting.
1. Languaging and Social Positioning in Multilingual School Practices : Studies of Sweden Finnish Middle School Years
Sammanfattning : The overall aim of the thesis is to examine young people’s languaging, including literacy practices, and its relation to meaning-making and social positioning. Framed by sociocultural and dialogical perspectives, the thesis builds upon four studies that arise from (n)ethnographic fieldwork conducted in two different settings: an institutional educational setting where bilingualism and biculturalism are core values, and social media settings. LÄS MER
2. Lära och leka med flera språk : Socialt samspel i flerspråkig förskola
Sammanfattning : Avhandlingens övergripande syfte är att studera barns sociala samspel med varandra och med vuxna i en flerspråkig förskolekontext. Mer specifikt studeras barnens språkanvändning i lek och i lärarledda aktiviteter, och hur barnen använder andra semiotiska resurser än språk för att åstadkomma deltagande i förskolans olika sammanhang. LÄS MER
3. Constructing Large Multilingual Proposition Databases
Sammanfattning : This thesis explores methods for generating proposition databases in a large-scale and multilingual setting. Our methods are centered on using semantic role labeling for extracting predicate-argument structures, and the subsequent transformation of such structures for knowledge base population and generation. LÄS MER
4. Information and Communication Technology in Teacher Education : Thinking and learning in computer‐supported social practice
Sammanfattning : The aim of this thesis is to investigate how new knowledge can be developed in computer-supported social practice. Participants were selected from newly qualified secondary school teachers and student teachers at a higher education institution in Rwanda. LÄS MER
5. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision
Sammanfattning : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. LÄS MER