Sökning: "language level"
Visar resultat 1 - 5 av 676 avhandlingar innehållade orden language level.
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. Doing Language Policy : A Micro-Interactional Study of Policy Practices in English as a Foreign Language Classes
Sammanfattning : This study investigates foreign language classroom talk and micro-level language policy-in-process from an ethnomethodological conversation analytic perspective. The study is based on 20 hours of video recordings from 20 lessons in an English as a Foreign Language classroom (EFL) in grades 8 and 9 of an international compulsory school in Sweden between the years 2007 and 2010. LÄS MER
3. Samiska skolbarns samiska : en undersökning av minoritetsspråksbehärskning i en språkbyteskontext
Sammanfattning : This dissertation presents an investigation of the proficiency in Saami of Swedish Saami schoolchildren. Several different aspects of language proficiency were examined with different methods of elicitation. The investigation had the form of a longitudinal study and mainly concerned language structure, i.e. LÄS MER
4. 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
5. 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