Search for dissertations about: "tools for natural language processing"

Showing result 1 - 5 of 41 swedish dissertations containing the words tools for 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. Methods and Tools for Automating Language Engineering

   Author : Grégoire Détrez; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Natural language processing; Language Engineering; Morphology; Lexicon; Complexity;

   Abstract : Language-processing software is becoming increasingly present in our society. Making such tools available to the greater number is not just a question of access to technology but also a question of language as they need to be adapted, or localized, to each linguistic community. READ MORE

5. 3. 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

6. 4. 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

7. 5. Resources and Applications for Dialectal Arabic: the Case of Levantine

   Author : Chatrine (kathrein) Qwaider (abu kwaik); Göteborgs universitet; []
   Keywords : HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; Dialectal Arabic Natural Language Processing; Computational Linguistics; Dialect Identification; Sentiment Analysis; Machine Learning; Deep Learning; Language modelling; Natural Language processing;

   Abstract : This is a thesis about the computational study of Dialectal Arabic (DA). In particular, the thesis studies DA, with a special emphasis on Levantine Arabic, and develops tools and resources for the computational study of Dialectal Arabic Natural Language Processing (DANLP). READ MORE