Large-scale Multitask Learning for Machine Translation Quality Estimation

Online Multitask Learning for Machine Translation Quality Estimation

Predicting Target Language CCG Supertags Improves Neural Machine Translation

Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepositional phrase attachment are poorly mo…

Multitask Finetuning for Improving Neural Machine Translation in Indian Languages

Transformer based language models have led to impressive results across all domains in Natural Language Processing. Pretraining these models on language modeling tasks and finetuning them on downstream tasks such as Text…

Multitask Models for Controlling the Complexity of Neural Machine Translation

We introduce a machine translation task where the output is aimed at audiences of different levels of target language proficiency. We collect a novel dataset of news articles available in English and Spanish and written …

Bias Mitigation in Machine Translation Quality Estimation

Machine Translation Quality Estimation (QE) aims to build predictive models to assess the quality of machine-generated translations in the absence of reference translations. While state-of-the-art QE models have been sho…