Search for dissertations about: "natural language processing"

Showing result 1 - 5 of 168 swedish dissertations containing the words natural language processing.

2. 1. Natural Language Processing for Low-resourced Code-switched Colloquial Languages – The Case of Algerian Language

   Author : Wafia Adouane; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Natural language processing; Deep neural networks; Low-resourced language; Colloquial language; Code-switch; Dialectal Arabic; User-generated data; Non-standardised orthography; Algerian language;

   Abstract : 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. READ MORE

4. 2. Gender and representation : investigations of bias in natural language processing

   Author : Hannah Devinney; Henrik Björklund; Jenny Björklund; Christian Hardmeier; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NLP; natural language processing; gender bias; social impact of AI; gendered pronouns; neopronouns; gender studies; topic modeling; Computer Science; datalogi; computational linguistics; datorlingvistik; genusvetenskap; gender studies;

   Abstract : Natural Language Processing (NLP) technologies are a part of our every day realities. They come in forms we can easily see as ‘language technologies’ (auto-correct, translation services, search results) as well as those that fly under our radar (social media algorithms, 'suggested reading' recommendations on news sites, spam filters). READ MORE

5. 3. Technical Language Supervision for Intelligent Fault Diagnosis

   Author : Karl Löwenmark; Fredrik Sandin; Olga Fink; Luleå tekniska universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Technical Language Processing; Natural Language Processing; Intelligent Fault Diagnosis; Natural Language Supervision; Condition Monitoring; Maskininlärning; Machine Learning;

   Abstract : 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. READ MORE

6. 4. Exploring natural language processing for single-word and multi-word lexical complexity from a second language learner perspective

   Author : David Alfter; Göteborgs universitet; []
   Keywords : HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; lexical complexity; CEFR; second language learning; machine learning; crowdsourcing;

   Abstract : 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. READ MORE

7. 5. Representation learning for natural language

   Author : Olof Mogren; RISE; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Abstract : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. READ MORE