2 papers
cs.CL2022
A Simple Baseline for Beam Search Reranking
Lior Vassertail, Omer Levy
Reranking methods in machine translation aim to close the gap between common evaluation metrics (e.g. BLEU) and maximum likelihood learning and decoding algorithms. Prior works add…
cs.CL2021
Can Latent Alignments Improve Autoregressive Machine Translation?
Adi Haviv, Lior Vassertail, Omer Levy
Latent alignment objectives such as CTC and AXE significantly improve non-autoregressive machine translation models. Can they improve autoregressive models as well? We explore the…