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 …
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 …
Unsupervised Translation Quality Estimation Exploiting Synthetic Data and Pre-trained Multilingual Encoder
Translation quality estimation (TQE) is the task of predicting translation quality without
reference translations. Due to the enormous cost of creating training data for TQE, only a few …
reference translations. Due to the enormous cost of creating training data for TQE, only a few …
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 …
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 …
Two-phase cross-lingual language model fine-tuning for machine translation quality estimation
D Lee - Proceedings of the Fifth Conference on Machine …, 2020 - aclanthology.org
In this paper, we describe the Bering Lab's submission to the WMT 2020 Shared Task on
Quality Estimation (QE). For word-level and sentence-level translation quality estimation, we …
Quality Estimation (QE). For word-level and sentence-level translation quality estimation, we …
Are we estimating or guesstimating translation quality?
Recent advances in pre-trained multilingual language models lead to state-of-the-art results
on the task of quality estimation (QE) for machine translation. A carefully engineered …
on the task of quality estimation (QE) for machine translation. A carefully engineered …
QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Quality Estimation, as a crucial step of quality control for machine translation, has been
explored for years. The goal is to investigate automatic methods for estimating the quality of …
explored for years. The goal is to investigate automatic methods for estimating the quality of …
Marmot: A toolkit for translation quality estimation at the word level
V Logacheva, C Hokamp, L Specia - Proceedings of the Tenth …, 2016 - aclanthology.org
We present Marmot~―a new toolkit for quality estimation (QE) of machine translation output.
Marmot contains utilities targeted at quality estimation at the word and phrase level …
Marmot contains utilities targeted at quality estimation at the word and phrase level …
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 …