The repo contains the notebook and generated texts created for the SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis Shared Task. The corresponding paper is: Anna Glazkova. 2023. tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning. Proceedings of SemEval-2023 (in print).

Table of Contents

• The code for fine-tuning XLM-T
• Additional data obtained with Google Translator: trainslated_train.pickle, translated_test.pickle

These files can be read by:

import pickle
with open('translated_train.pickle', 'rb') as f:
  translated_texts = pickle.load(f)