research
∙
05/24/2023
How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification
Text simplification rewrites text to be more readable for a specific aud...
share
research
∙
01/18/2023
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection
Neural sequence generation models are known to "hallucinate", by produci...
research
∙
12/05/2022
In-context Examples Selection for Machine Translation
Large-scale generative models show an impressive ability to perform a wi...
research
∙
05/13/2022
Controlling Translation Formality Using Pre-trained Multilingual Language Models
This paper describes the University of Maryland's submission to the Spec...
research
∙
03/17/2022
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models
We propose a framework for training non-autoregressive sequence-to-seque...
research
∙
12/16/2021
Can Multilinguality benefit Non-autoregressive Machine Translation?
Non-autoregressive (NAR) machine translation has recently achieved signi...
research
∙
10/20/2021
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
While the field of style transfer (ST) has been growing rapidly, it has ...
research
∙
06/09/2021
A Review of Human Evaluation for Style Transfer
This paper reviews and summarizes human evaluation practices described i...
research
∙
04/12/2021
Assessing Reference-Free Peer Evaluation for Machine Translation
Reference-free evaluation has the potential to make machine translation ...
research
∙
03/22/2021
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
With the success of large-scale pre-training and multilingual modeling i...
research
∙
11/03/2019
Controlling Text Complexity in Neural Machine Translation
This work introduces a machine translation task where the output is aime...
research
∙
01/19/2018
