malt-iro
Master's degree student at the University of Konstanz, specializing in Computational Linguistics and NLP. 👩💻 Interested about LLMs & Text Simplification.
University of KonstanzKonstanz
Pinned Repositories
text-simplification-bot
A simple bot for simplifying texts using language models.
Data_Analysis_R
In this project, I utilized R to perform a comprehensive data analysis on linguistic data characterized by categorical labels, specifically binary values. Additionally, I developed a predictive model to forecast these binary outcomes by assessing the significance of various predictors extracted from the dataset.
Emotions_classification_DeepLearning
The aim of this project is to build a multi-class classification model which is trained on tweets that convey one of the following emotions: joy, sadness, anger or fear. The task is also a single-label classification since each sample requires one label (emotion). Final conclusions are reported in the jupyter notebook file.
LENS
Positive_Pointwise_Mutual_Information_Python
SAL_NLP_project
The primary goal of this project is to examine whether the extracted and encoded Tamil multi-word tokens exhibit greater semantic similarity to their respective translations in English or in German. This similarity will be assessed using cosine similarity as a metric.
malt-iro's Repositories
malt-iro/Emotions_classification_DeepLearning
The aim of this project is to build a multi-class classification model which is trained on tweets that convey one of the following emotions: joy, sadness, anger or fear. The task is also a single-label classification since each sample requires one label (emotion). Final conclusions are reported in the jupyter notebook file.
malt-iro/Positive_Pointwise_Mutual_Information_Python
malt-iro/Data_Analysis_R
In this project, I utilized R to perform a comprehensive data analysis on linguistic data characterized by categorical labels, specifically binary values. Additionally, I developed a predictive model to forecast these binary outcomes by assessing the significance of various predictors extracted from the dataset.
malt-iro/LENS
malt-iro/SAL_NLP_project
The primary goal of this project is to examine whether the extracted and encoded Tamil multi-word tokens exhibit greater semantic similarity to their respective translations in English or in German. This similarity will be assessed using cosine similarity as a metric.