Kazakh-Chinese Translation System Data Labeling and Evaluation
This project applied a trained machine translation model to practical translation tasks involving Kazakh to Chinese. The role required processing and evaluating text data to ensure accurate translation and improve model output. The main responsibility was to handle annotated text for training and validating the translation system. • Involved in applying annotated translation data. • Supported machine learning model fine-tuning using labeled samples. • Evaluated translation accuracy and model output consistency. • Collaborated with researchers to optimize dataset quality.