Search Results for author:
Found 4 papers, 1 papers with code
Online Learning over Time in Adaptive Neural Machine Translation
Adaptive Machine Translation purports to dynamically include user feedback to improve translation quality.
TANDO: A Corpus for Document-level Machine Translation
Document-level Neural Machine Translation aims to increase the quality of neural translation models by taking into account contextual information.
Automating Easy Read Text Segmentation
Easy Read text is one of the main forms of access to information for people with reading difficulties.
Split and Rephrase with Large Language Models
Our results provide a fine-grained analysis of the potential and limitations of large language models for SPRP, with significant improvements achievable using relatively small amounts of training data and model parameters overall, and remaining limitations for all models on the task.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
