Diagnostic captioning: a survey
Diagnostic captioning (DC) concerns the automatic generation of a diagnostic text from a set
of medical images of a patient collected during an examination. DC can assist …
of medical images of a patient collected during an examination. DC can assist …
Findings of the WMT 2021 shared task on quality estimation
We report the results of the WMT 2021 shared task on Quality Estimation, where the
challenge is to predict the quality of the output of neural machine translation systems at the …
challenge is to predict the quality of the output of neural machine translation systems at the …
The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies.
This report began life in October 2020 at the start of the Language In The Human-Machine
Era network (lithme. eu). Several online co-writing workshops followed, working together in …
Era network (lithme. eu). Several online co-writing workshops followed, working together in …
Improving translation quality estimation with bias mitigation
State-of-the-art translation Quality Estimation (QE) models are proven to be biased. More
specifically, they over-rely on monolingual features while ignoring the bilingual semantic …
specifically, they over-rely on monolingual features while ignoring the bilingual semantic …
Towards making the most of llm for translation quality estimation
Abstract Machine Translation Quality Estimation (QE) aims to evaluate the quality of
machine translation without relying on references. Recently, Large-scale Language Model …
machine translation without relying on references. Recently, Large-scale Language Model …
Bias mitigation in machine translation quality estimation
H Behnke, M Fomicheva, L Specia - … of the 60th Annual Meeting of …, 2022 - aclanthology.org
Abstract Machine Translation Quality Estimation (QE) aims to build predictive models to
assess the quality of machine-generated translations in the absence of reference …
assess the quality of machine-generated translations in the absence of reference …
Watching the watchers: Exposing gender disparities in machine translation quality estimation
The automatic assessment of translation quality has recently become crucial across several
stages of the translation pipeline, from data curation to training and decoding. Although …
stages of the translation pipeline, from data curation to training and decoding. Although …
Multi-view fusion for universal translation quality estimation
Abstract Machine translation quality estimation (QE) aims to evaluate the result of translation
without reference. Despite the progress it has made, state-of-the-art QE models are proven …
without reference. Despite the progress it has made, state-of-the-art QE models are proven …
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
Machine translation quality estimation (QE) predicts human judgements of a translation
hypothesis without seeing the reference. State-of-the-art QE systems based on pretrained …
hypothesis without seeing the reference. State-of-the-art QE systems based on pretrained …
PreQuEL: Quality estimation of machine translation outputs in advance
We present the task of PreQuEL, Pre-(Quality-Estimation) Learning. A PreQuEL system
predicts how well a given sentence will be translated, without recourse to the actual …
predicts how well a given sentence will be translated, without recourse to the actual …