These projects develop and evaluate machine learning models and embeddings specifically for the Armenian language, addressing its status as a low-resource language in NLP.
A research project exploring machine learning approaches for detecting loanwords in Armenian and predicting their lan...
A complete pipeline for training Word2Vec embeddings on Armenian text, including data preprocessing, model training w...
A capstone project evaluating GPT-3.5-Turbo's performance on Armenian language tasks, including extractive QA, multip...