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07/31/2023
Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data?
Translation Quality Estimation (TQE) is an important step before deployi...
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03/08/2023
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce
In natural language processing (NLP) we always rely on human judgement a...
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10/12/2022
Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain
Massively multilingual pre-trained language models (MMPLMs) are develope...
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09/15/2022
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It
Pre-trained language models (PLMs) often take advantage of the monolingu...
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12/27/2021
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation
Traditional automatic evaluation metrics for machine translation have be...
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11/15/2021
Measuring Uncertainty in Translation Quality Evaluation (TQE)
From both human translators (HT) and machine translation (MT) researcher...
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08/21/2021
