Search for dissertations about: "language processing"

Showing result 1 - 5 of 270 swedish dissertations containing the words language processing.

  1. 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

  2. 2. 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

  3. 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

  4. 4. "Say It Fast, Fluent and Flawless" : formulaicity in the oral language production of young foreign language learners

    Author : Parvin Gheitasi; Janet Enever; Christian Waldmann; Ingmarie Mellenius; Shelagh Rixon; Umeå universitet; []
    Keywords : HUMANIORA; HUMANITIES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Early language learning; Foreign language learning; Formulaic language; Formulaicity; English as a foreign language; language teaching and learning; språkdidaktik;

    Abstract : This thesis reports on a study, which investigated the process of early foreign language learning in a classroom context and the functions of multi-word units of language known as formulaic sequences in the oral language production of young foreign language learners. A classroom with 11 students in the age range 9 to 11 years was observed and video recorded for 16 sessions (90 minutes per session). READ MORE

  5. 5. Improving Language Models Using Augmentation and Multi-Modality

    Author : Tobias Norlund; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; contextual augmentation; multimodal language modeling; language models;

    Abstract : Language models have become a core component in modern Natural Language Processing (NLP) as they constitute a powerful base that is easily adaptable to many language processing tasks. Part of the strength lies in their ability to embed associations representing general world knowledge. READ MORE