150 citations · 167 across the 3 of their papers we have counts for
5 papers
PyMarian: Fast Neural Machine Translation and Evaluation in Python
Thamme Gowda, Roman Grundkiewicz, Elijah Rippeth +2
The deep learning language of choice these days is Python; measured by factors such as available libraries and technical support, it is hard to beat. At the same time, software wri…
SOTASTREAM: A Streaming Approach to Machine Translation Training
Matt Post, Thamme Gowda, Roman Grundkiewicz +3
Many machine translation toolkits make use of a data preparation step wherein raw data is transformed into a tensor format that can be used directly by the trainer. This preparatio…
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing
Marcin Junczys-Dowmunt, Roman Grundkiewicz
In this work, we explore multiple neural architectures adapted for the task of automatic post-editing of machine translation output. We focus on neural end-to-end models that combi…
Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions
Marcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoang
In this paper we provide the largest published comparison of translation quality for phrase-based SMT and neural machine translation across 30 translation directions. For ten direc…
Fast, Scalable Phrase-Based SMT Decoding
Hieu Hoang, Nikolay Bogoychev, Lane Schwartz +1
The utilization of statistical machine translation (SMT) has grown enormously over the last decade, many using open-source software developed by the NLP community. As commercial us…