6 citations · 22 across the 10 of their papers we have counts for
3 papers · 1 filter
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
Lifeng Han, Serge Gladkoff, Gleb Erofeev +3
We conduct investigations on clinical text machine translation by examining multilingual neural network models using deep learning such as Transformer based structures. Furthermore…
MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs
Serge Gladkoff, Lifeng Han, Gleb Erofeev +2
Translation Quality Evaluation (TQE) is an essential step of the modern translation production process. TQE is critical in assessing both machine translation (MT) and human transla…
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce
Serge Gladkoff, Lifeng Han, Goran Nenadic
In natural language processing (NLP) we always rely on human judgement as the golden quality evaluation method. However, there has been an ongoing debate on how to better evaluate…