Masteruppsatser / Master in Language Technology

ON THE GRAMMAR OF PROOF

Macmillan, Warrick

EVALUATING THE EXTENT OF ETHNIC BIASES IN FINBERT AND EXPLORING DEBIASING TECHNIQUES

Suvanto, Minerva (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

Båstedt, Klara (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

Carrión del Fresno, Andrea (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

Kumar Battula, Hemanth (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

Grau Francitorra, Patricia (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

Casademont Moner, Judit (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

Khojah, Ranim (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

Pfau, Merle (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

Tumma, Liina (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 ...

EMBODIED QUESTION ANSWERING IN ROBOTIC ENVIRONMENT Automatic generation of a synthetic question-answer data-set

Aruqi, Ali (2021-11-12)

Embodied question answering is the task of asking a robot about objects in a 3D environment. The robot has to navigate the environment, find the entities in question, and then stop to answer the question. The answering ...

RESPONSIBLE WOMEN AND ANALYTICAL MEN Developing Swedish Gendered Lexica for Detection of Gender Bias in Job Advertisements

Hansson, Saga; Mavromatakis, Konstantinos (2021-09-27)

In this research, we examine gender bias in Swedish job advertisements with the use of gendered lexica. Gendered lexica can be employed to ascertain whether job advertisements are written with words that are associated ...

SPEECH SYNTHESIS AND RECOGNITION FOR A LOW-RESOURCE LANGUAGE Connecting TTS and ASR for mutual benefit

Makashova, Liliia (2021-09-23)

Speech synthesis (text-to-speech, TTS) and speech recognition (automatic speech recognition, ASR) are the NLP technologies that are the least available for low-resource and indigenous languages. Lack of computational and ...

WANNA BE ON TOP? The Hyperparameter Search for Semantic Change's Next Top Model

Viloria, Kate (2021-09-22)

Lexical semantic change (LSC) detection through the use of diachronic corpora and computational methods continues to be a prevalent research area in language change (Tahmasebi et al., 2018). However, there has not yet been ...

An Experimental Evaluation of Grounding Strategies for Conversational Agents

Zou, Yiqian (2020-09-11)

With the continuous development of technology, dialogue system’s technology penetrates into human’s life. Grounding also becomes more and more important for dialogue systems. It is important to choose a suitable grounding ...

Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

Wang, Tian (2020-09-01)

Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a ...