5 citations · 5 across the 3 of their papers we have counts for
3 papers
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Large web-crawled corpora represent an excellent resource for improving the performance of Neural Machine Translation (NMT) systems across several language pairs. However, since th…
Learning Policies for Multilingual Training of Neural Machine Translation Systems
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Low-resource Multilingual Neural Machine Translation (MNMT) is typically tasked with improving the translation performance on one or more language pairs with the aid of high-resour…
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Reno Kriz, João Sedoc, Marianna Apidianaki +4
Sentence simplification is the task of rewriting texts so they are easier to understand. Recent research has applied sequence-to-sequence (Seq2Seq) models to this task, focusing la…