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malt-iro/README.md

Hi there 👋

I am interested in the intersections of linguistics and AI, particularly in Natural Language Processing (NLP). Currently, I focus on using large language models (LLMs) for automatic text simplification and paraphrasing. My goal is to develop models that aid comprehension and make complex language accessible to everyone.

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  1. Emotions_classification_DeepLearning Emotions_classification_DeepLearning Public

    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-l…

    Jupyter Notebook 1

  2. SAL_NLP_project SAL_NLP_project Public

    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…

    Jupyter Notebook

  3. Data_Analysis_R Data_Analysis_R Public

    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 mod…

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  4. Positive_Pointwise_Mutual_Information_Python Positive_Pointwise_Mutual_Information_Python Public

    Analyzed word co-occurrences in the Contemporary American English corpus, showing that PPMI scores are more reliable for identifying collocates and named entities (e.g., “pay attention”, “New York”…

    Jupyter Notebook 1