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 deploying the output
translation into usage. TQE is also critical in assessing machine translation (MT) and human …
translation into usage. TQE is also critical in assessing machine translation (MT) and human …
Towards Precise Localization of Critical Errors in Machine Translation
The advent of large language models has experienced a remarkable improvement in the
field of machine translation. However, machine translation is still vulnerable to critical …
field of machine translation. However, machine translation is still vulnerable to critical …
Enhancing Machine Translation Quality Estimation via Fine-Grained Error Analysis and Large Language Model
Fine-grained error span detection is a sub-task within quality estimation that aims to identify
and assess the spans and severity of errors present in translated sentences. In prior quality …
and assess the spans and severity of errors present in translated sentences. In prior quality …
Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection
Critical error detection (CED) aims to identify the presence of catastrophic meaning
distortion in machine translation. Fatal errors require significant attention because of their …
distortion in machine translation. Fatal errors require significant attention because of their …
Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation
Recent machine translation (MT) systems have overcome language barriers for a wide
range of users, yet they still carry the risk of critical meaning deviation. Critical error detection …
range of users, yet they still carry the risk of critical meaning deviation. Critical error detection …
Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation
Critical error detection (CED) in machine translation is a task that aims to detect errors that
significantly distort the intended meaning. However, the existing study of CED lacks …
significantly distort the intended meaning. However, the existing study of CED lacks …