Masteruppsatser / Master in Language Technology
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PERSONALIZED LANGUAGE LEARNING IN THE AGE OF AI. Leveraging Large Language Models for Optimal Learning Outcomes.
(2024-06-25)In a new era marked by technological advancements and the AI boom, language learning is no longer limited to the classrooms. The emergence of Large Language Models (LLMs) propels further advancements within language ... -
Creating Synthetic Dialogue Datasets for NLU Training. An Approach Using Large Language Models
(2024-06-20)This thesis explores the topic of using the GPT-4 large language model, to generate high-quality, diverse synthetic dialogue datasets for training Natural Language Understanding (NLU) models in task-oriented dialogue ... -
Automatic Idiomatic Expression Detection. Comparison Between GPT-4 and Gemini Pro Prompt Engineering & LSTM-RNN Construction
(2024-06-18)This thesis explores the concept of detecting non-literal phrases using Large Language Models (LLM) such as GPT-4 and Gemini Pro, as well as Recurrent Neural Networks (RNN), LSTM and BiLSTM models in particular. Through ... -
Logical properties of Natural Language Inference - Experiments with Synthetic Data to Study Consequence Relations in LSTMs
(2024-06-17)Natural language inference (NLI) datasets are great resources to train and benchmark models that infer entailment relations. However, these datasets are known to have issues such as lexical biases that affect the behaviour ... -
EXPLORING LEXICAL SEMANTIC CHANGE IN POLISH USING XL-LEXEME
(2024-06-17)The scope of this thesis is on Lexical Semantic Change (LSC) and its automatic detection in the Polish language. Following Cassotti et al. (2023)’s findings, the following thesis leverages XL-Lexeme, a transformerbased ... -
Don't Mention the Norm
(2024-06-17)Reporting bias (the human tendency to not mention obvious or redundant information) and social bias (societal attitudes toward specific demographic groups) have both been shown to propagate from human text data to language ... -
MACHINE TRANSLATION FROM ANCIENT GREEK TO ENGLISH: EXPERIMENTS WITH OPENNMT
(2024-06-17)The current thesis focuses on the application of neural machine translation (NMT) models translating from Ancient Greek to English. The rich morphology, syntax, and vocabulary of the Ancient Greek combined with its status ... -
Evaluating the contribution of framenet to gender-based violence identification - How semantic annotation can be used as a resource for identifying patterns of violence
(2024-06-17)According to the World Health Organization, one in three women has been a victim of physical or sexual violence by their partner at some point in their lives. This indicates that Gender-Based Violence is a global public ... -
IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish
(2023-06-19)Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural ... -
WHO’S AFRAID OF COMPLEXITY? An Exploration of the Influence of Native Language Complexity on L2 Complexity
(2023-06-19)The matter of linguistic complexity has been widely scrutinised in the last few decades, within theoretical linguistics, as well as in second language acquisition studies. A concept introduced in the last half of the previous ... -
EVALUATING THE EXTENT OF ETHNIC BIASES IN FINBERT AND EXPLORING DEBIASING TECHNIQUES
(2022-10-07)Language models are becoming increasingly popular. These models can contain social biases about various groups of people in them. The reproduction of biased beliefs can have harmful impacts on the groups they are about. ... -
GO BACK TO /R/CONSPIRACY: AN EXPLORATION OF METHODS FOR THE AUTOMATIC DETECTION OF AFFECTIVE POLARIZATION ON REDDIT
(2022-10-06)Affective polarization – the tendency to hold negative attitudes towards an out-group and biased, positive attitudes towards an in-group – is a hot topic in research and public debate. There are concerns that news media’s ... -
DIALOGUE STRATEGIES FOR VOCABULARY LEARNING User Initiative in Dialogue Systems for Second Language Learning
(2022-10-06)When building efficient dialogue systems, a major challenge is recovering from miscommunication. Analyzing human-human interaction leads to discovering repair strategies that contribute towards conversational systems ... -
LAUGHTER PREDICTION IN TEXT BASED DIALOGUES Predicting Laughter using Transformer-Based Models
(2022-06-20)In this paper we will attempt to predict and assess the performance of predicting laughter using a BERT model (Devlin et al., 2019), and a BERT model finetuned on the Open subtitles dataset with and without considering ... -
THE LINGUISTIC STRUCTURE OF WIKIPEDIA A multilingual analysis and comparison of the language used in Wikipedia articles
(2022-06-20)Wikipedia is a great source of knowledge, but due to its open-collaboration nature, it presents some limitations. Namely, the uneven distribution of content, the low overlap in topic coverage, the differences in the ... -
MULTI-CLASS GRAMMATICAL ERROR DETECTION Data, Benchmarks and Evaluation Metrics for the First Shared Task on Swedish L2 Data
(2022-06-20)Grammatical Error Detection (GED) is a challenging NLP task that has not received a lot of research attention in the recent years, especially in the Swedish language. However, in the world we live in, where there are ... -
EVALUATING CONFIDENCE ESTIMATION IN NLU FOR DIALOGUE SYSTEMS
(2022-06-20)Background: Natural Language Understanding (NLU) is an important component in Dialogue Systems (DS) which makes the utterances of humans understandable by machines. A central aspect of NLU is intent classification. In ... -
NEURAL MACHINE TRANSLATION FROM NORTH SÁMI TO SWEDISH
(2022-03-08)Neural machine translation is a method used in automatic translation that makes use of artificial neural networks. A single model takes an input sequence and predicts the most likely output sequence of words after being ... -
Prosody and emotion: Towards the development of an emotional agent Emotional evaluation of news reports: production and perception experiments
(2022-01-20)There is a recognised need for more research on the topic of emotion recognition from speech, and clear and defined methodology in this area is still lacking. Most studies in the field of emotional speech recognition and ...