Research Assistant - Translationese Classification
As a Research Assistant, I developed and refined protocols for a Translationese tool to distinguish original texts from translations. I was responsible for designing experimental methodologies and ensuring data quality for NLP tasks. The labeling work focused on classifying linguistic data to support the development of machine learning tools for language analysis. • Developed workflows for distinguishing translationese from original language text. • Labeled textual data to support supervised machine learning experiments. • Integrated annotated data into experimental pipelines for tool development. • Ensured accuracy and consistency in linguistic data classification.