Grammatical error correction: A survey of the state of the art
Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …
correcting errors in text. The task not only includes the correction of grammatical errors, such …
Neural machine translation: A review
F Stahlberg - Journal of Artificial Intelligence Research, 2020 - jair.org
The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …
natural language into another, has experienced a major paradigm shift in recent years …
Imagen editor and editbench: Advancing and evaluating text-guided image inpainting
Text-guided image editing can have a transformative impact in supporting creative
applications. A key challenge is to generate edits that are faithful to the input text prompt …
applications. A key challenge is to generate edits that are faithful to the input text prompt …
COMET: A neural framework for MT evaluation
We present COMET, a neural framework for training multilingual machine translation
evaluation models which obtains new state-of-the-art levels of correlation with human …
evaluation models which obtains new state-of-the-art levels of correlation with human …
Findings of the 2017 conference on machine translation (wmt17)
This paper presents the results of the WMT17 shared tasks, which included three machine
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …
Findings of the 2021 conference on machine translation (WMT21)
F Akhbardeh, A Arkhangorodsky, M Biesialska… - Proceedings of the sixth …, 2021 - cris.fbk.eu
This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …
translation for Indo-European languages, the triangular translation task, and the automatic …
Detecting hallucinated content in conditional neural sequence generation
Neural sequence models can generate highly fluent sentences, but recent studies have also
shown that they are also prone to hallucinate additional content not supported by the input …
shown that they are also prone to hallucinate additional content not supported by the input …
Seamless: Multilingual Expressive and Streaming Speech Translation
Large-scale automatic speech translation systems today lack key features that help machine-
mediated communication feel seamless when compared to human-to-human dialogue. In …
mediated communication feel seamless when compared to human-to-human dialogue. In …
Understanding and detecting hallucinations in neural machine translation via model introspection
Neural sequence generation models are known to “hallucinate”, by producing outputs that
are unrelated to the source text. These hallucinations are potentially harmful, yet it remains …
are unrelated to the source text. These hallucinations are potentially harmful, yet it remains …
Unsupervised quality estimation for neural machine translation
Quality Estimation (QE) is an important component in making Machine Translation (MT)
useful in real-world applications, as it is aimed to inform the user on the quality of the MT …
useful in real-world applications, as it is aimed to inform the user on the quality of the MT …