Revisiting round-trip translation for quality estimation
Quality estimation (QE) is the task of automatically evaluating the quality of translations
without human-translated references. Calculating BLEU between the input sentence and …
without human-translated references. Calculating BLEU between the input sentence and …
Translation quality estimation by jointly learning to score and rank
J Zhang, J van Genabith - … of the 2020 Conference on Empirical …, 2020 - aclanthology.org
The translation quality estimation (QE) task, particularly the QE as a Metric task, aims to
evaluate the general quality of a translation based on the translation and the source …
evaluate the general quality of a translation based on the translation and the source …
OpenKiwi: An open source framework for quality estimation
We introduce OpenKiwi, a PyTorch-based open source framework for translation quality
estimation. OpenKiwi supports training and testing of word-level and sentence-level quality …
estimation. OpenKiwi supports training and testing of word-level and sentence-level quality …
Error identification for machine translation with metric embedding and attention
Abstract Quality Estimation (QE) for Machine Translation has been shown to reach relatively
high accuracy in predicting sentence-level scores, relying on pretrained contextual …
high accuracy in predicting sentence-level scores, relying on pretrained contextual …
Dealing with the paradox of quality estimation
In quality estimation (QE), the quality of translation can be predicted by referencing the
source sentence and the machine translation (MT) output without access to the reference …
source sentence and the machine translation (MT) output without access to the reference …
Mismatching-aware unsupervised translation quality estimation for low-resource languages
Abstract Translation Quality Estimation (QE) is the task of predicting the quality of machine
translation (MT) output without any reference. This task has gained increasing attention as …
translation (MT) output without any reference. This task has gained increasing attention as …
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 …
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 …
Self-supervised quality estimation for machine translation
Quality estimation (QE) of machine translation (MT) aims to evaluate the quality of machine-
translated sentences without references and is important in practical applications of MT …
translated sentences without references and is important in practical applications of MT …
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 …